GCP News - 2026-10-08

In capital markets, operational success is built on predictable performance and low latency, where even tiny variations in packet timing alter queue priority and trade execution. At the same time, both exchange venues and their participants face mounting constraints in traditional on-premises data centers — from power and physical rack space limits to lengthy hardware procurement cycles. Increasingly, global capital markets seek the speed and determinism of physical co-location combined with the dynamic scalability and automation of the cloud.

At Google Cloud Next ‘26, we announced the Ultra Low Latency (ULL) Solution, now generally available, providing high-frequency trading workflows that run in the cloud with an ultra-low latency network and agility. The ULL Solution includes the new U4 machine family, also generally available today. 

The ULL Solution is based on three infrastructure pillars:

• Hardware-level networking: Scaleable, hardware-based multicast data distribution for reliable market-data feeds

• Advanced networking observability: Dynamic network traffic capture with hardware-level timing accuracy, facilitating consistent auditing, market replays, and absolute trade validation without impacting primary traffic performance

• Deterministic high-performance compute: Processing of latency-critical execution tiers in a highly predictable, consistent amount of time, every single time

Taken together, the ULL Solution’s compute, storage, networking, and observability provide financial exchanges and market participants with a number of technical capabilities: 

• Bare metal performance: Dedicated bare metal compute provides direct access to physical host resources, minimizing jitter and delivering predictable, low-latency execution for market-data feeds and order routing.

• High-performance storage options: Local Titanium SSDs handle real-time transaction and tick logging on the host, complemented by scalable Google Cloud Hyperdisk for persistent market data archives and analytics.

• Physical traffic isolation: The ULL trading fabric’s redundant A/B multicast market feeds are accessed through two independent and dedicated Titanium adapters, while an independent third Titanium adapter offloads telemetry, management, and provides access to Google Cloud services.

• Hardware-accelerated multicast distribution: The ULL network architecture supports hardware-level multicast feed ingestion. This allows participants to stream high-throughput market data directly to low-latency trading applications, bypassing traditional hypervisor-level virtual switches.

• Accelerated packet processing: Support for OpenOnload and DPDK enables Linux user-space networking to deliver predictable unicast and multicast packet handling while minimizing application code changes.

• Precision timing and UTC synchronization: Integration with Google Cloud’s Firefly clock synchronization system allows the solution to consistently achieve sub-10 nanosecond network-level timestamping and better synchronization to UTC than the sub-100 microsecond regulatory requirement for financial exchanges.

• Built-in telemetry: 24/7 low-latency packet capture and seamless out-of-band packet brokering for regulatory compliance and real-time analytics helps ensure deep visibility without impacting primary traffic performance.

• 24-7 market ready: The solution is designed for continuous, round-the-clock trading readiness by isolating production workloads in a dedicated primary zone for live trading, while routine cloud maintenance and qualification testing occur in a secondary zone for updates and testing. 

Compute in the ULL Solution is delivered by the new U4 machine family, which brings predictable performance and ultra-low latency compute in three specialized machine series: dual-socket bare metal instances with three physical NICs — U4P for exchange operators and U4C for market participants — alongside U4S high-performance VMs for operators, participants, and service providers.

We developed the U4 machine family to enable the world’s most technically demanding markets to run within Google Cloud and benefit from cloud services and scale. An example of this is our ongoing collaboration with CME Group, through which we are migrating listed derivatives markets to Google Cloud. Here, the U4C and U4P bare metal instances deliver direct physical co-location latency parity, providing predictable low-latency clock precision, and native hardware-multicast feed ingestion. This architecture demonstrates that core exchange systems and trading strategies can run in the cloud with the speed, consistency, and control that financial markets require.

In recent decades, Ireland has grown into a vibrant hub for global technology. As modernization accelerates, Irish organizations — spanning government agencies, established enterprise brands, and growing startups in AI and other areas — are all advancing their technical foundations. Today, leaders across the country are injecting agentic AI into every layer of their business and operational workflows. 

We are seeing organizations move from early prototypes to production-ready deployments using Gemini Enterprise. This progress supports Ireland's competitive position within the European market. According to a recent Implement Consulting Group report assessing Google’s local contribution, public and private leaders estimate between 40 billion to 45 billion euros of economic potential in global AI markets.

This ambition aligns with broader government initiatives. Since assuming the presidency of the Council of the European Union for the second half of 2026, Ireland has steered higher-level technology and policy discussions, outlining a National Digital and AI Strategy to improve productivity and innovation across sectors.

To support this strategy, we are focused on making these capabilities more accessible. Our local teams are collaborating with industry leaders to implement Gemini Enterprise which offers capabilities that range from conversational AI agents and natural language data analysis, to optimizing operations with agentic ecosystems.

The economic impact is already taking shape. In 2025 alone, Google operations — including our AI and cloud services — added an estimated 10 billion euros to the Irish gross domestic product. And this momentum is shared: Organizations across Ireland are using Google Cloud to modernize infrastructure and put AI to work.

Here are several ways Irish organizations are modernizing with Google Cloud and Gemini Enterprise:

Ryanair supports millions of passengers through AI-backed operations

Ryanair, Europe’s largest airline, is modernizing its collaborative operations and infrastructure by deploying Gemini Enterprise and Google Workspace for some 35,000 employees. Flight crews, operations planners, and corporate staff will benefit from streamlined decision-making, optimized crew logistics, and enhanced corporate productivity. At the same time, a dual-cloud strategy strengthens infrastructure resilience as the airline targets growth to 300 million passengers by 2034. 

Smyths Toys rethinks the customer experience with agentic support

As one the world’s largest specialty toy retailers, Smyths Toys is reshaping its customer support with Google Cloud and Gemini Enterprise. By introducing an AI agent named Codie, the retailer has resolved more than 60% of its web inquiries and reduced holiday email backlogs. Customer care teams that previously handled up to 1,000 peak-season emails a day can now focus on the roughly 50 cases that need more complex judgment.

The Irish Revenue Commissioners: Advancing public sector data

Public sector agencies are also making strides in Ireland. The Irish Revenue Commissioners — responsible for taxes, customs, and keeping Ireland’s economy running smoothly — is working with Google Cloud to migrate from legacy on-premise systems to a unified AI-lakehouse architecture designed to break down data silos and establish a single source of truth. Strict data sovereignty controls safeguard taxpayer information while Gemini Enterprise powers agentic data analysis, helping Revenue deliver secure, responsive public services.

Virgin Media Ireland: Accelerating workflows

Supported by Liberty Global's partnership with Google Cloud, Virgin Media Ireland is moving AI from exploration to production. Through modern infrastructure and automation, the team now deploys workloads three times faster, is in the process of rolling out multiple AI agents, and is launching new customer services designed to drive business growth.

Irish startups scaling with enterprise tools

While established enterprises are modernizing legacy systems, Irish startups are building on modern technology from day one. Backed by a strong local tech ecosystem, these agile teams are creating services that compete on an international stage. 

Hexis: Scaling personalized sports nutrition

Hexis builds technology solutions that help athletes refine their performance and recovery. By storing and processing that real-time biometric and behavioral data in Google Cloud, Hexis uses Gemini Enterprise to power natural language conversations that explain fueling adjustments to users throughout the day. Today, the platform supports 40% of the Tour de France peloton and half of Premier League clubs during the 2026–2027 season.

Kitman Labs: Unifying performance analytics

Founded in Dublin in 2012, Kitman Labs provides sports science and performance intelligence to more than 4,000 sporting organizations across 26 countries. By combining its intelligence platform with advanced analytics and Gemini Enterprise, Kitman Labs helps teams make data-informed decisions that support athlete health, lower injury risk, and extend player career longevity. 

Spryt: Automating healthcare coordination

Spryt streamlines healthcare coordination across the U.K. and U.S., using AI built on Google Cloud and Gemini Enterprise to optimize patients’ experiences, reduce missed appointments, and cut administrative burden. The company collaborates with the NHS, operates in more than 70 US clinics, and has analyzed 224 million appointment records as part of a multiyear initiative with Mayo Clinic.

IMPT: Automating carbon offsetting

By connecting AI, blockchain, and Google Cloud, IMPT embeds verified carbon offsetting into everyday hotel bookings and online purchases. Following a 15-week migration to Google Cloud, IMPT supports 8 million listings across 195 countries. With Gemini Enterprise, the company’s lean team handles about 400 daily customer chats with a six-second median response time, allowing staff to focus on growing its business rather than managing systems.

Transform ideas from planning to production

As Ireland continues to expand  as a global technology hub, local organizations are demonstrating how to translate AI potential into practical results. Explore our customer stories to see how other organizations are building with Google Cloud, or reach out to our team in Ireland to accelerate your journey.

Today, we announced the new Gemini agent, your single, universal agent for work. For small and midsize businesses, with lean teams and margins, Gemini will be a critical tool for you to operate efficiently, deliver excellent customer experiences, and grow.

Millions of small and midsize businesses, or SMBs, already trust Google AI across multiple services, like Gemini Enterprise, Google Ads, and Google Workspace. And they are scaling fast: Their usage of Google Cloud’s AI tools increased more than fivefold year over year. 

Now, SMBs can benefit from all of the agentic capabilities of Gemini. 

The agentic era for SMBs has arrived

Gemini functions as a personal assistant and team member, connects to the systems and data you already use, operates across the interfaces you’re already familiar with, and offers the model choice, security, and cost controls you expect from Google Cloud. 

It answers your questions, handles your knowledge work, creates your images and media, and even writes and runs code, all from a single prompt box. You delegate an outcome and come back to finished work. Gemini can act as a flexible team member, playing a specific role such as a project manager, bookkeeper, inventory manager, or marketing consultant.

And, Gemini is architected to be helpful out of the box, with benefits including:

• Connects to popular SMB tools: Gemini connects to the systems you regularly use, like Asana, Box, Clay, Docusign, Dropbox, GitHub, LegalZoom, Notion, Salesforce, Shopify, Slack, Wix, and more. It utilizes context from these tools, your business data, and work history, and gets smarter and more helpful the more you use it. 

• Provides model choice: Gemini is the agent, and the model underneath it is a separate choice. It runs each job on the model that fits best—orchestrating across our Gemini family of models and Claude models today, and other leading private and open models in the future. Matching the model to the work raises accuracy on the difficult jobs and lowers cost on the simple ones. And the leading model changes every few months, so keeping that choice open means that even if you switch models, your context, your skills, and your data stay put.

• Accessible everywhere you work: Gemini works across the surfaces that you use every day, including on the web, Android and iOS mobile devices, Mac and Windows desktops, and applications like Google Workspace, Microsoft 365, and Slack. Because it runs in the cloud, it keeps working even when you step away from your devices.

• Keeps costs under control: We’ve also implemented leading cost controls into Gemini, to ensure you and your employees can confidently put Gemini to work. This includes multi-model orchestration to choose the right model for the job, smart routing that automatically triages workloads so each one runs on the model that delivers maximum performance at the lowest possible cost, and real-time project-level spend caps in the Cloud Billing Console.

Gemini is in early access with SMB customers today and will be available to all customers soon. 

How SMBs are driving results with Google Cloud AI today

Globally, SMBs are already using Gemini Enterprise to drive their businesses forward, here are a few examples: 

• Aerotech, a U.S. industrial automation company, leverages Gemini Enterprise to scale its internal AI problem-solving platform across its workforce, reducing troubleshooting times to increase production capacity.

• Angelus, a Brazilian dental and healthcare manufacturing company, uses Gemini Enterprise to streamline project management across its research and development department. This enables its teams to automatically pull technical project data into pre-approved templates aligned with the company’s brand identity and regulatory requirements.

• EdSpan Global, an international education platform, uses Gemini Enterprise to automate the standardization of thousands of digital learning objects, reducing time spent on repetitive editing to accelerate course launches.

• Eficode, a software development and DevOps firm in Finland, is using Gemini Enterprise to create a multi-platform support engine that quickly indexes complex internal wikis, so employees can provide customers with faster technical support.

• KLog.co, a Chilean logistics technology company digitizing freight forwarding across Latin America, uses Gemini Enterprise to automate cargo tracking and shipping paperwork, cutting manual data entry errors by more than 90% and increasing document processing capacity tenfold.

• Koufu, one of Singapore's largest food and beverage companies, is using Gemini Enterprise to automate sales reporting and data analysis. This reduces spreadsheet bottlenecks so shop managers can focus on front-of-house service quality.

• La Maison du Whisky (whisky.fr), a specialized spirits and beverages retailer in France and internationally, chose Gemini Enterprise to create a 'Digital Sommelier' that transforms technical product data into high-end storytelling and marketing copy in seconds.

• NEEOH, a leading Brazilian out-of-home advertising communication platform, uses Gemini Enterprise to standardize secure AI usage across its organization, enabling teams to generate campaign copy and build pitch proposals faster while keeping corporate client data secure.

• Quadrant Health Group, a U.S.-based healthcare and clinical operations provider, uses Gemini Enterprise to unify its fragmented technology systems, automate repetitive back-office tasks, and empower clinicians with secure AI tools that safeguard patient data.

• Salt Productions and Pinch Creative, U.S.-based event production and creative partner agencies, are using Gemini Enterprise to turn fragmented files into a searchable, single source of truth, reducing administrative work and presentation bottlenecks so staff can focus on event production and design.

• Sep 2, a digital security provider, uses Gemini Enterprise to deploy autonomous AI agents for 24/7 threat monitoring. It can accelerate incident detection and neutralize security threats. 

• Stratagem, a technology consulting company based in the U.S., uses Gemini Enterprise to automate administrative workflows and develop retail customer service agents, freeing consultants to spend more time with clients and accelerate service delivery.

• Sunhouse, a strategic brand design agency, uses Gemini Enterprise to easily find archived design work stored on Google Drive, enabling its teams to spend less time hunting for files and more time growing its business with global brands.

Get trained on Google Cloud AI

To help SMB teams get the most out of AI, we’ve created easy, no-cost learning programs that you can use through our Google Skills platform. To get started today, there are two ways to engage on the platform for free: 

• Claim 35 no-cost credits to access hands-on labs and earn skill badges across all levels

• Sign your team up for Google Skills for Organizations

Today, Google Skills offers more than 3,000 courses, labs, and credentials to help you build practical skills with Google AI and products like Google Workspace and Gemini Enterprise, earn skill badges, and achieve valuable certifications on Google Cloud. Courses on the new Gemini agent will be available soon; in the meantime, you can get started with recommended courses such as:

• Exploring Data Transformation with Google Cloud: For SMBs looking to move past simple tools and actually start scaling their broader operations on Google Cloud, this course provides a great entry point for business leaders looking to modernize their infrastructure and security posturing. 

• Google Workspace with Gemini: For SMBs looking to quickly boost everyday efficiency, this course serves as an essential, highly practical guide to seamlessly integrating AI into daily business operations, from drafting emails to automating simple workflows directly inside Gmail, Docs, and Drive. 

• SMB Learning Path: For SMBs looking for practical ways to scale their business operations, this catalog of courses focuses on combining introductory gen AI technical foundations with Gemini-led automation and the GEAR framework for custom agent development.

Work with a partner

Our partner ecosystem plays an important role in helping businesses implement Google Cloud AI, including Gemini.

Today, many partners offer certified experts on Google Cloud AI to SMBs, and can help with everything from identifying use cases for AI, prototyping, building custom agents, and more. 

Visit our Google Cloud Partner Network today to get started with a partner.

Editor’s note: This article is adapted from Thomas Kurian’s keynote address at Gemini at Work 2026. It includes a number of announcements:

• Gemini, a single, universal agent for work that answers your questions, handles your knowledge work, creates your images and media, and writes and runs code. 

• Inline in Workspace, Gemini works directly inside Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar, carrying the same memory, skills, and controls it has everywhere else.

• New data and analytics skills that allow both technical teams and everyday business users to use plain-language questions to get to actionable operational insights in minutes. 

• Industry-specific specialization with tools, skills, connectors and knowledge specific for financial services and legal teams.

• How we secure and govern agents through identity and policy management, authorization and permission controls, secure sandboxing, network gateways, and more.

• Leading cost controls through multi-model orchestration, Smart Routing, real-time spend caps, and more.

• Customer use cases that showcase the breadth and depth of our customers around the world.

Bringing the best technology to all of you is what drives us at Google Cloud. In the last year, nearly 500 Google Cloud customers each processed more than one trillion tokens. Today, nearly 80% of all Google Cloud customers are using our AI products, and nearly 90% of the Fortune 100 use Gemini Enterprise. At that kind of scale, organizations have moved past experimentation and are running their business on it.

Work now starts in the prompt window. 

To meet this moment, today we are excited to announce the Gemini agent: your new single, universal agent for work. It has all of your business context and can be used for everything from knowledge work to answering questions, and from content creation to coding, all from a single prompt box. It plans the work, uses skills and tools, connects to your systems, and brings back something finished — inside the documents, the inbox, and the developer environments you already work in. It chooses the best model for the job, has built-in cost controls, and most importantly, has the security, administration, and governance required by your company.

Introducing the Gemini agent 

Gemini answers your questions, handles your knowledge work, creates your images and media, and writes and runs code — all in a single agent and a single API. You give it objectives, not instructions. You delegate an outcome and come back to finished work. For an agent to do that, it has to be connected to your personal workflows, your systems of record, and your enterprise controls. Gemini can function as your personal assistant or as a team member, where it works on behalf of a group of people, like a project manager within a team, or on behalf of a specific role in an organization, like an analyst in your finance department.

The agentic capabilities in Gemini are built around core architectural principles:

• Unified agent: Gemini is an agent that can answer your questions when you chat with it, work autonomously to complete objectives you assign it, and generate code — all from a single interface. You can assign it work, schedule tasks that need to be completed, or have it respond to events.

• Omnipresent access: Gemini can be accessed from any device including web, iOS and Android mobile devices, Windows and Mac desktops, and any channel (command line, Google Workspace, Microsoft 365, or Slack). It can also be integrated into third-party applications and surfaces and operates as a headless agent, meaning it does not need a dedicated user interface.

• Persistent execution: It runs in the cloud, meaning it maintains a single set of memories, context, and one personalization graph no matter what device or channel you access it on. You never have to re-brief it or wonder which machine you told it to do something on. Work that takes hours or days keeps running after you close your laptop, and it is still there when you come back. 

• Multi-agent orchestration: Gemini doesn’t work alone. It can dynamically create a roster of sub-agents — temporary, job-specific agents, each with their own identity — to tackle multi-step tasks. Gemini can communicate with these sub-agents to coordinate workflows, including parallel and sequential steps that can run for hours or days. In addition, Gemini can act as a coworker agent — which is more like a team member, with a persistent, defined role and operational presence across days, sessions, and multiple changing responsibilities — and delegate and coordinate tasks. Coworker agents have dedicated identities including their own @agents.company.com emails, their own persistent storage, and only have access to the context that you or your team members provide.

• Deeply contextual: Gemini arrives already knowing your tools, data, and work history. Whether you ask it a question, assign it an objective, or have it generate code, Gemini learns from every interaction with you. The longer you collaborate with it, the better it understands you and how you work. Teams can create dedicated projects to further optimize the context, skills, and tools Gemini uses when it works with you.  

• Model choice flexibility: Gemini is the agent, and the model underneath it is a separate choice. It runs each job on the model that fits best — orchestrating across our Gemini family of models and Claude  models from Anthropic today, and other leading private and open models in the future — to deliver optimal quality and lower your costs. The best model for the task is not always the largest one. Matching the model to the work raises accuracy on the difficult jobs and lowers cost on the simple ones. And the leading model changes every few months, so keeping that choice open means your context, your skills, and your data stay put when it does.

Top customers across industries were early testers and are already realizing its benefits: Premium sportswear brand On tested this new dynamic selection capability to accelerate its speed-to-market. This builds on the proven, large-scale multi-model strategies already used by leaders: Shopify blends frontier models for millions of merchants to unlock data and drive sales, and PayPal routes 10 million multi-model requests every week.

Powering Gemini: Skills, tools, and context

Gemini understands your business — everything from pricing to product portfolios to departmental norms — and all the institutional knowledge that makes your company unique. Three capabilities make that possible: tools that connect it to your systems, skills that teach it how your work gets done, and context that lets it remember. 

• Tools and tools registry: Gemini can securely connect to the software your company already runs, including collaboration tools like Confluence, Microsoft Office, Teams, Slack, and Workspace; development tools like Git and Jira; enterprise platforms like Salesforce and ServiceNow; databases like BigQuery, Databricks, Postgres, and Snowflake; and files on your own desktop. It can also connect and work securely with any Model Context Protocol (MCP) server inside or outside your company network. It also offers an enterprise tools registry, so teams can build and publish tools for the rest of the company. 

• Skills and skills registry: Skills are reusable sets of instructions, knowledge, or workflows stored as modular prompts that teach agents how to perform specific, multi-step tasks. Gemini ships with a robust global library of skills. Teams or departments can build and publish custom skills to a shared company registry, and you can build your own personal skills. Gemini chooses the right skills and tools to perform a task and continuously learns from each execution, improving its consistency, while saving token costs.

• Context and memory: Gemini learns from each question you ask it, each objective you assign it, the people you work with, and uses your personal context and your organization's context to personalize and improve the quality of its responses. It keeps four kinds of memory: session memory for the task in front of it, even when it runs for days; semantic memory, a structured knowledge base it builds as it reads documents, talks to people, and works with other agents; procedural memory for how a job gets done, including skills it writes for itself; and episodic memory of everything it has done before. Gemini onboards itself the way a new hire would, learning you, your tools, and your team before it starts.

Customers seeing significant benefits from Gemini Enterprise include:

• BNP Paribas, a European leader in banking and financial services, is transforming Corporate & Institutional Banking by deploying Gemini Enterprise into LLM@CIB, its internal generative AI assistant available to more than 65,000 employees, to streamline workflows like preparing credit memos and boosting the productivity of customer advisers while maintaining strict enterprise-grade security and data governance.

• Bradesco, one of Brazil’s largest banking and financial services conglomerates, is streamlining heavy operational workflows by deploying Gemini Enterprise for automated fiscal, accounting, and contractual analysis. The finance team has accelerated proposal reviews, service classification, and budgetary workflows, cutting document review time from 1 hour to 5 minutes while reducing risk inconsistencies by 60% and achieving over 10% in financial efficiencies.

• Merck is exploring new frontiers in molecular research with the potential to significantly compress discovery timelines while maintaining complete data privacy and security.

• Orange Spain, a leading telecommunications operator in Spain, is speeding up its digital transformation by deploying more than 1,000 custom Gemini Enterprise agents. Employees across HR, IT, sales, and customer service have built custom agents to automate incident triage, analyze network issues, and retrieve corporate knowledge, boosting operational agility and response times while helping non-technical staff automate daily workflows with zero IT bottlenecks.

• Santee Cooper, South Carolina’s state-owned electric and water utility, is modernizing its financial planning and grid reliability by deploying a specialized AI model built on Gemini Enterprise. Financial planning teams and utility operators are automating complex financial scenario modeling and query execution using simple natural language and expect to boost modeling speed by up to 75% while mitigating market risk across a $10 billion grid expansion budget.

• SOMPO, a leading Japanese insurance provider, built over 10,000 custom AI agents across its 34,000 employees to automate tasks like document search and summarization for employee efficiency. Their engineering team used Gemini Enterprise to cut the development time for new models from one week to a single day, freeing up engineers for more important work.

• Ulta Beauty is helping guests shop 30,000 products by deploying the Ulta AI shopping assistant built with Gemini Enterprise. Online shoppers have translated conversational questions into personalized beauty recommendations, boosting digital sales conversion rates three-fold while skipping traditional search filters to buy the products they love instantly.

• Wesfarmers, the parent company of Australian retail giants Bunnings, Kmart, and Officeworks, is deploying agents across its portfolio. An internal agent at Bunnings saved staff half a million hours of administrative work, while shopping agents — that help customers discover products and build their carts — have increased conversion rates up to three times higher for Kmart and Officeworks.

Gemini in Google Workspace

Gemini not only answers your questions, handles your knowledge work, and writes your code — it works directly inside Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar, carrying the same memory, skills, and controls it has everywhere else. It works inline: in the email thread, in the document, and in the chat space. 

Inside Workspace, Gemini works three ways:

• Personal assistance: Gemini works as your personal agent and arrives already knowing your calendar, your team, your projects, and how your documents relate to one another. It is briefed before you start.  For example, you can ask Gemini to set up a meeting with the usual team of regional event leads next week, without supplying a single name or email address. Gemini determines who those people are from the membership of your chat space and the thread from your last event, checks their calendars, and starts an email thread to coordinate a time that works, even with external participants. It handles work that spans applications the same way: researching market trends, building a financial model in Sheets, then creating a deck that presents both, without you re-explaining the project at each step.

• Proactive delegation: Gemini uses this same intelligence to proactively suggest tasks you can delegate to it. For example, if your manager emails you asking for the latest project update as a slide deck, Workspace Intelligence recognizes that as a delegatable task and gives you a single-click option to pass it to Gemini. It applies the same reasoning to your inbox, surfacing the message that matters most rather than the one that arrived last, and explaining why. 

• A member of your team: You can also use Gemini to create a coworker agent that works with your entire team. You simply describe the role you need, and Gemini creates it. The agent receives its own Workspace account, including an email address, calendar, Drive, and presence in your company directory. Your colleagues work with it the way they work with anyone else, by adding it to a Chat space or @mentioning it. For example, a marketing manager can ask an events coordinator agent in a chat group to draft a launch readiness document, which it posts back to the group when complete. The marketing manager could also tag the agent in a document comment, where it can suggest an edit in the Doc and reply in the comment thread, appearing under its own name in version history. A coworker agent acts under its own identity rather than yours, and it sees only what you share with it. Access follows the sharing and membership your team already uses, and no outside connector holds your data.

Data analysis, data engineering and machine learning 

We are also giving Gemini skills built for specific domains, starting with data.

Data and analytics represent a foundational domain where Gemini transforms business workflows, enabling organizations to move from plain-language questions to actionable operational insights in minutes. We are introducing purpose-built capabilities tailored to both technical teams and everyday business users:

• For Data and ML engineers: We are extending Gemini with machine learning skills and tools that back every data scientist and data engineer with a team of agents. Engineers describe the outcome they want in plain language, and Gemini generates PySpark code, provides notebooks to edit and test it, trains models, and troubleshoots and fixes pipeline issues on its own.

• For business users: Anyone in your organization can generate reliable, real-time operational reports simply by asking. Gemini uses operational reporting skills integrated with BigQuery and the Knowledge Catalog to construct and save the query. Once saved, teams can run reports on demand without incurring token costs, guaranteeing consistent, verified answers every time.

Three Google Cloud capabilities keep those answers grounded:

• Knowledge Catalog: Gemini integrates directly with your Knowledge Catalog to map business definitions once so all agents use them. This deep understanding of your organization’s schemas and business rules for terms like “net margin” and “addressable market” dramatically improves accuracy. Whether your metrics live in Databricks, dbt, LookML, or SAP, Gemini reads them directly where they sit to ensure factual responses.

• Smart Storage: Ninety percent of enterprise data is unstructured — PDFs, images, scans, and audio recordings — which often remain "dark" and unreadable. Smart Storage changes this by enriching unstructured objects in place and writing context back directly onto the object itself. The intelligence stays where the bytes reside and inherits your existing security posture.

• Borderless Lakehouse: Organizations should not be forced to move or duplicate their data to use AI. Our borderless Lakehouse allows Gemini to query Amazon S3 and Azure Data Lake with no variable egress fees, read directly from Salesforce Data 360, SAP, ServiceNow, and Workday without copying data, and federate open Apache Iceberg tables across Databricks Unity, Snowflake Horizon, and AWS Glue.

You can start by registering data sets that you discover in your lakehouse with the Knowledge Catalog, and then assign Gemini simple or complex analysis to perform. It identifies the necessary data sets from the Knowledge Catalog, generates the necessary SQL, Spark or Python code to calculate the results, and runs the code on our Managed Spark Service with Lightning Engine or in BigQuery. It can also generate charts and build dashboards in the tools your analysts already use.

By grounding its data agents in the Knowledge Catalog, Bloomberg Media lifted its SQL query accuracy by 63% during initial development. As William Anderson, Bloomberg Media’s CTO, noted: “...by grounding our AI in a trusted institutional context, we ensure confidence in the accuracy and quality of every insight generated.”

Additional customers are seeing tremendous value from our data solutions:

• Deutsche Telekom used BigQuery, Cloud Storage, and Knowledge Catalog to build a unified data lakehouse to overcome a fragmented and slow data infrastructure spread across 40+ legacy on-premise systems, allowing their teams to now move ten times faster while addressing European data sovereignty and security requirements.

• Etsy migrated three petabytes of data to a unified lakehouse. By using BigQuery and open-source Apache Iceberg, they can now perform critical data joins up to 60% faster, allowing them to train models on much larger datasets and better connect buyers with the perfect items.

• Snap connected its Prism agent directly to its storage archives, cutting technical diagnostic troubleshooting times down from 30 minutes to just 30 seconds.

Industry-specific specializations

Every industry runs on knowledge a general model does not have. We are specializing Gemini for individual industries, with the skills, tools, and knowledge specific to each one. It is now in preview for Financial Services and Legal, and coming soon to Government, Healthcare, and Retail. 

• Financial Services: Gemini for Financial Services automates what is usually pieced together across many workstreams: investment research, credit analysis, and risk modeling. It draws on trusted financial data from FactSet, LSEG, S&P Global, SEC filings, and your own proprietary repositories. Built with more than 50 foundational skills and designed to satisfy rigorous compliance, it shows its reasoning through confidence scores, explicit methodologies, full data lineage for easy auditing, and source citations you can check. Gemini for Financial Services is already being used by global financial institutions like CME Group and Deutsche Bank.

• Legal: Gemini inherits matter-level permissions and ethical walls directly from document management platforms like NetDocuments and iManage. Partners like Harvey automate complex legal work while meeting the firm's confidentiality standards, while Onit streamlines contract lifecycle management without exposing privilege. Cooley is building a confidential information redaction agent on Gemini Enterprise for Legal that automates redactions, including personally identifiable information and confidential material, before legal filings go public. In high-stakes litigation, this can cut days of document review while maintaining the firm's rigorous standards for client confidentiality.

In addition, we’ve seen our ecosystem and customers create new vertical applications as well. For example, Deloitte has created a multi-agentic solution to help organizations identify the highest-value opportunities for AI applications for their business. Their Agentic AI blueprint develops operational heat maps to pinpoint areas ready for agentic redesign, accelerating the deployment of custom agentic workflows and achieving up to a 3x faster path to measurable business impact.

Securing and governing agents

Two factors determine whether an enterprise agent program succeeds or stalls: whether you can govern it, and whether you can afford it.

When deploying autonomous agents across an organization, governance comes down to answering four fundamental questions:

• Who is the agent, and what identity does it have? 

• What is it allowed to do or what permissions is it granted? 

• What did it do and where can I see what it did? 

• What should it never touch?

Identity, policy, and observability answer the first three. The fourth is Agent Gateway.  

• Identity: Every agent gets its own identity, cryptographically attested and governed like an employee, with least-privilege permissions. That identity is stamped into the logs that capture its work, and into any virtual machine spun up to run code on its behalf.

• Authorization and permissions: You give each agent fine-grained, role-based access permissions, approved by your organization’s security administrators. When the Gemini agent connects to an external system, its identity is mapped and propagated through industry standards such as OAuth.

• Auditing: In addition, every action Gemini takes is written to an audit trail and attributed to the agent rather than to a person. Since the identity travels into any virtual machine the agent spins up to run code, you can monitor those logs with our observability tools in real time and catch anomalous behavior before it matters. 

• Policy management and control: Gemini gives you identity, discovery, governance, and security by default. All Gemini agents execute tasks safely inside an Agent Sandbox with its own network boundary. All traffic — in, out, and between agents — passes through Agent Gateway, an AI network firewall enforcing your organization’s policies in real time. You write the policy once, such as: “agents may not open documents classified Need to Know.” Gemini applies it to every agent in your company instead of checking one agent at a time.

Leading cost controls and spending options

While per-token prices have dropped 98% since 2024, enterprise AI volume has exploded. Running every simple loop through a premium model quickly breaks corporate budgets. We announced new flexible spending options recently and are adding to those today: 

• Multi-model orchestration: As mentioned earlier, Gemini allows you to choose the right model for the job, and even combine different models for specific tasks in larger projects to deliver optimal quality and lower your cost.

• Smart routing: Our routing tool automatically triages enterprise workloads so each one runs on the model that delivers maximum performance at the lowest possible cost.

• Real-time spend caps: You can set a hard limit on a project's AI spend in the Cloud Billing Console, and Gemini enforces it. Gemini monitors token usage and sandbox costs, and if a spend cap is triggered, that project's agent pauses, and you can choose to resume work with a single click in the console. Because the tracking is per project, companies can charge AI costs back to specific departments.

Infrastructure: 80% better price-performance

All of this innovation — the agent, the data, the identity, and everything else — runs on our AI Infrastructure and our models. They are the reason the economics work.

First, our AI infrastructure. We co-design the chips, the network, the data center, and the software that connects it all as one highly-optimized system — our AI Hypercomputer. This vertical integration delivers significantly better price-performance than the generic setups, and we are continuing to push the state of the art here. For example, our latest TPU 8i system delivers 80% better price-performance than the prior generation, making complex, high-value agent tasks both fast and highly affordable.

On top of this silicon sit our models: Argon for frontier reasoning, Flash for speed and volume, Omni for generative media, and Gemma for lightweight, open-weights edge workloads.

The edge capabilities are already real. NASA’s Jet Propulsion Laboratory is running Gemma directly on a satellite in orbit, a first for a vision-language model. JPL’s NAVI software analyzes Earth imagery on board the satellite and sends a summary with key information to ground operators.

Supercharged by our ecosystem

We remain committed to choice at every layer of the stack, ensuring you have the freedom to choose the best tech stack for your unique needs.

Inside Gemini, you have a broad choice of third-party agents from leading SaaS providers as well as connectors that are ready to use. They are even easier to discover as collections in the new AI Solution Finder.

Around Gemini, our services ecosystem continues to rapidly scale to meet enterprise demand. Together, in the last month alone, our global consulting partners have put more than a hundred thousand of their developers and consultants through Gemini hackathons.

In addition, Accenture has made a significant investment by establishing a dedicated Gemini Enterprise Business Group to accelerate customer adoption and innovation. Several other partners have also expanded their commitments to support the growing demand for Gemini, including establishing specialized centers of excellence and training Gemini credentialed practitioners to help customers build and deploy production-grade agents faster. 

Gemini Enterprise in action: Global momentum

Organizations worldwide are driving measurable impact across every major region:

Europe and Middle East

• Arden University, a UK provider of flexible online and blended learning, is preparing students for the global job market by rolling out Gemini Enterprise. Over 30,000 students and staff will now have access to advanced Al tools to personalize their studies and gain essential skills for the workplace.

• Commerzbank, one of Germany’s largest private banks, is using Gemini Enterprise to automate document quality assurance, reducing manual work on document reviews from 20 hours to just one. They are expanding this with a multi-agent system for AI-driven QA.

• Lloyds Banking Group is scaling agentic AI across the bank. Envoy, a secure, Gemini-powered pipeline, has already onboarded nearly a thousand engineers building production-ready AI use cases. From fraud detection to commercial client onboarding, Envoy gives teams a reusable agent marketplace, a "golden path" for building agents, and a CI/CD pipeline — all wrapped in the guardrails and security a highly regulated bank demands.

• Nokia is tackling the complexity of modern telecom networks with an ecosystem of specialized agents built on Gemini Enterprise. This allows operators to fix issues before subscribers are impacted by automating troubleshooting and cutting issue resolution time by up to 80%.

• On, a premium sportswear brand, is scaling workforce productivity and efficiencies by deploying Gemini Enterprise to every employee to drive personal productivity and foster an AI-ready culture. Team members have launched no code agents that help with efficient knowledge extraction, executive reporting, market research, scheduling, onboarding and more.

• Ooredoo Qatar, the leading telecommunications provider in Qatar, is integrating Gemini Enterprise into their AI transformation strategy to drive advanced automation and intelligence. Its customer support, marketing, security, and field operations teams have deployed AI agents to optimize internal operations management, while accelerating rapid issue resolution and marketing campaigns to deliver around the clock, highly personalized, proactive customer experiences.

• Qatar University, the nation's premier institution of higher education, is transforming higher education operations and academic research by deploying Gemini Enterprise campus-wide. Thousands of faculty and staff are deploying more than 2,000 custom AI agents to modernize institutional workflows, automate complex administrative operations, and enhance academic productivity.

• Ryanair, Europe’s largest airline, is modernizing its collaborative operations and infrastructure by deploying Gemini Enterprise and Google Workspace to 35,000 employees. Flight crews, operations planners, and corporate staff will benefit from automated decision-making, optimized crew logistics, and enhanced corporate productivity, while a resilient dual-cloud strategy strengthens infrastructure resilience and supports the airline's target growth to 300 million passengers by 2034.

• Starling, one of the UK's top-rated digital banks, built its Scam Intelligence tool on Gemini Enterprise. It analyzes online marketplace ads for suspicious content and has quadrupled the rate at which customers cancel potentially fraudulent payments.

• Other major European customers include Berenberg in banking, Bouygues Telecom, the application building platform Lovable, and Siemens in automation.

Asia Pacific

• Airwallex, the global financial platform processing over $200 billion annually, has deployed Gemini Enterprise across its infrastructure to resolve customer issues 10x faster, automate dispute handling to cut case time by 40%, and accelerate software time-to-market by over 95% while building specialized agentic finance workflows for automated treasury, payables, and payments.

• DBS Bank, Southeast Asia’s largest bank, is moving past pilots into enterprise production by deploying deterministic chains of 70 to 80 specialized agents on Google Cloud to synthesize complex financial, regulatory, and market intelligence for corporate credit memos, shifting relationship managers from manual research to high-value client advisory while keeping humans firmly in the loop.

• Hitachi is transforming global power and utilities by deploying agents directly to frontline workers via HMAX, Hitachi’s portfolio of AI-powered solutions. Field technicians have built agents for over 200 use cases — such as using image-recognition agents to verify photos of every tool and wire before and after a job — boosting productivity by up to 30% while keeping workers safer.

• NTT DOCOMO, Japan’s leading mobile operator, built data agents that reduced time-to-insight from two weeks to instant, which gave four hundred fifty thousand hours a year back to the business. Building on this success, they are now deploying Gemini Enterprise to drive their next wave of productivity.

• Tata Steel, a global steel manufacturing leader, successfully deployed more than 300 specialized AI agents in nine months to enhance manufacturing safety, optimize predictive supply chains, and cut customer complaint turnaround times by 50%.

• Zip, an Australia-based digital financial services company, is transforming its product-development lifecycle in the U.S. by deploying Gemini Enterprise to build an AI-Native Product Factory. Cross-functional teams will use this unified agentic environment to connect customer research, design, engineering, and compliance, boosting product development velocity and parallel experimentation while lowering the cost and complexity of bringing new financial products and experiences to market.

• Other APAC leaders include LG in electronics, Marubeni in trading, and TCS in technology services.

Latin America

• Banco BV, a leader in the Brazilian financial sector, is using Gemini Enterprise to create personalized scripts for its customer relationship managers, accelerating client communications by 80%. The new AI platform allows the bank to quickly engage customers with tailored financing and investment opportunities.

• CNA/SENAR, Brazil’s national agriculture and livestock federation, is expanding access to critical agricultural information by deploying JoIA, a conversational AI assistant on WhatsApp built on Gemini Enterprise. 40,000 active users, with the potential to support 5 millions producers across the country, have accessed localized input pricing, weather forecasts, and financial health evaluations to facilitate in-field decision-making.

• Farmacias del Ahorro, one of Mexico’s leading drugstore and pharmacy retail chains, is accelerating corporate operational efficiency by deploying PotencIA, an internal program built on Gemini Enterprise. 1,000 corporate employees across IT, e-commerce, and marketing have adopted the tools for daily business workflows, boosting active user adoption to 95% while generating an estimated 140,000 hours in annual productivity gains.

• Globo, Latin America’s largest media company, is optimizing early-stage software planning by deploying PlanejaAI, an AI agent solution built on Gemini Enterprise. Product Owners, managers, and analysts have accelerated epic refinement and quarterly planning, boosting pre-development plan accuracy by 33% and slashing validation time from 20 minutes to 6 seconds while saving 127 hours in a single quarter.

• Grupo Bafar, a prominent Mexican food producer and consumer retail group, is accelerating national retail expansion by deploying Gemini Enterprise for automated contract management. Legal and retail operations teams have streamlined the preparation of operational annexes for store openings, boosting processing capacity tenfold while slashing contract preparation time from 140 to 17 minutes per branch.

• Laureate Education, a major higher education network serving nearly 500,000 students across Mexico and Peru, is transforming academic and administrative operations by deploying Gemini Enterprise and Gemini for Education. Faculty and staff have personalized learning paths, enhanced teacher support resources, and modernised campus administration, boosting student engagement and operational readiness while driving long-term career employability for graduates.

• Other LATAM leaders include iFood delivery services, Livelo in customer loyalty, SEBRAE in public services, and Yduqs in education.

North America

• Albertsons, a leading U.S. food and drug retailer, is ensuring customers get the freshest produce with its patent-pending Intelligent Quality Control tool built with Gemini Enterprise. Distribution center inspectors are using computer vision and Gemini models to instantly evaluate fresh fruit and vegetable quality against company standards, boosting rating consistency across shifts and locations while speeding up inspections to get perishable food onto grocery shelves faster.

• Avid, a leading provider of media technology for film and television, is streamlining video post-production through browser-based editorial experiences and agentic creative workflows built with Gemini Enterprise. Editors and directors can use conversational content discovery, AI-assisted transcription, and intelligent media organization within their creative workflows — including within a Google Chrome browser — helping teams spend less time on manual administrative tasks and more time focused on storytelling.

• Constellation Energy Company, a leading energy supplier, will build Gemini Enterprise agentic workflows directly into its core operations. Power generation teams will have access to advanced AI capabilities to accelerate capacity delivery, optimize asset dispatch, and protect critical infrastructure.

• Honeywell Technologies Forge platform includes predictive maintenance capabilities built on Gemini Enterprise, such as contextualizing operational data at scale and providing proactive maintenance recommendations. This helps customers minimize costly, unplanned outages, protecting and extending the lifespan of their mission-critical equipment.

• PayPal built its AI platform on the Gemini Enterprise to create new commerce tools, cutting the time it takes to deploy new models from weeks to just minutes.

• The Home Depot, the world’s largest home improvement retailer, is speeding up customer support and product discovery by deploying AI voice and digital assistants built on Gemini Enterprise. DIY shoppers and contractors calling stores or using Magic Apron have skipped rigid phone menus, searched local inventory with natural speech, and resolved inquiries in real time, boosting phone resolution speeds by four-fold (understanding customer needs in under 10 seconds) while allowing in-store associates more time to focus on face-to-face shoppers.

• The RealReal, the leading online marketplace for authenticated luxury resale, is transforming luxury consignment by deploying Ask TRR, a conversational shopping concierge built with Gemini Enterprise. Resale shoppers have navigated and searched a massive, shifting catalog using natural language instead of rigid filters, which will boost user engagement across all 45 million members while making it effortless to discover and secure rare, "one-of-one" luxury pieces before they sell out.

• Verizon is modernizing its customer and enterprise operations with Gemini Enterprise and agentic Data Cloud. The technology has helped resolve inbound customer calls and chats automatically, helped predict and resolve network anomalies, and automated marketing campaign orchestration, boosting customer satisfaction and automated resolution rates while unifying legacy data lakes into a single source of truth.

• Whenere, an immersive storytelling platform, is revolutionizing interactive 3D worldbuilding, starting with bringing Pride and Prejudice to Fortnite. To build the Netherfield estate, the team used Dreamlands, an agentic 3D worldbuilding platform built on Gemini Enterprise. With Gemini generating each new texture in about seven seconds for under ten cents, one artist created nearly 250 custom assets in a single day and completed a historically accurate estate in under a week, all while keeping full creative control.

• Leading hospital systems and healthcare services companies like Highmark Health and Seattle Children's rely on Gemini Enterprise to run secure administrative and clinical support workflows.

• In public sector, Gemini Enterprise is being used across the states of Arizona and Missouri, the State University of New York (SUNY), and the Chief Digital and Artificial Intelligence Office, which has put Gemini Enterprise in the hands of 3 million uniformed and non-uniformed members of the US armed services. They have built more than a hundred thousand custom agents to streamline everyday tasks.

• Small and midsize businesses including Aerotech, EDSpan Global,, Pinch Creative, Quadrant Health Group, Salt Productions, Strategem, and more are using Gemini Enterprise to empower their teams with AI agents that can streamline their operations, automate administrative workloads, help find information, and even support customer engagement. In fact, usage of Google Cloud’s AI tools by these customers has grown more than 5x year over year. 

• Other North American startups and innovators like Every Cure, Harvey, OpenEvidence, Recursion, and Replit are using Gemini Enterprise.

Our commitments to you

As you build the future on Gemini, we make three firm commitments:

1. We take the friction out: A future-proof platform that runs anywhere, executes any task, supports your choice of models, and applies enterprise controls.

2. We eliminate complexity: Google builds and integrates the entire stack: silicon, models, skills, tools, and security.

3. What you build stays yours: Your people and your data do not need to move, and your proprietary inputs and outputs remain entirely your own.

The technology is ready, our global partner ecosystem is scaling, and Gemini is ready to work for you.

※この投稿は米国時間 2026 年 10 月 2 日に、Google Cloud blog に投稿されたものの抄訳です。

データドリブンな世界において、PayPal が優位性を維持するためには、タイムリーで実用的な分析情報を提供できる機能が不可欠です。PayPal では、不正行為の検出からユーザー エクスペリエンスの向上まで、あらゆる場面でデータを活用しています。データは、エージェント ソリューションとエクスペリエンスの可能性を引き出すためにも中心的な役割を果たします。

しかし、当社の分析環境は、増大し続ける需要に対応していくうちに、時間の経過とともに、さまざまなテクノロジーとソリューションをオンプレミスで組み合わせた複雑なエコシステムになっていました。このアプローチでその時点でのニーズに対応することはできましたが、スケーリングとメンテナンスの面で新たな課題が生じ始めました。

困難な分析環境を乗り切る

急激な成長と買収により、当社のデータ分析プラットフォームは徐々に不均一な状態になっていきました。新しいプラットフォームや統合の導入により特定のビジネスニーズには対応できましたが、それらが組み合わさることで、運用上のオーバーヘッドが増加し、パフォーマンスのボトルネックが生じていました。スケーリングがますます困難になり、プロセスが複雑になるにつれて分析情報を得るまでの時間が長くなりました。

複雑さにより生じた停滞

PayPal の従来のデータ分析プラットフォームは、毎日ペタバイト規模のデータを処理する強力なものでしたが、急速な成長に伴い、柔軟性が失われていきました。小売業のピークイベントやグローバルなリリース時にスケールアップするには、数か月にわたる計画と時間のかかるハードウェアの手動プロビジョニングが必要であり、多くの場合、スピードとコストの間で妥協を余儀なくされていました。

PayPal がグローバルに拡大を続けるなか、データの効率性を高め、イノベーションを加速させるために、合理化された統合インフラストラクチャが必要であると認識しました。

ソリューション: 統合されたクラウドネイティブな分析

これらの問題を克服するために、分析ワークロードを従来の Hadoop オンプレミス プラットフォームから Google の Managed Service for Apache Spark に移行しました。

この選択の主な理由は次のとおりです。

• 迅速なプロビジョニングと柔軟なスケーリング: Managed Spark により、クラスタを数分でデプロイし、処理ニーズに応じてスケーリングできるようになったため、時間のかかる設定やアイドル状態のリソースのコストが排除されました。

• 統合されたインフラストラクチャ: Apache Spark に標準化することでチーム間に一貫性が生まれ、Managed Service for Apache Spark やその他のマネージド サービスを活用することで運用の複雑さが軽減されました。

• シームレスな統合: Google Cloud Storage（GCS）、BigQuery、その他の Google Cloud サービスへのネイティブ フックにより、エンドツーエンドのデータ移動が効率化されました。

PayPal は、この移行により、クラウドネイティブ ソリューションの柔軟性、スケーラビリティ、信頼性を活用して、データ処理機能をモダナイズできました。以前は複数のプラットフォームでばらばらに実行されていたワークフローとバッチジョブを、単一のクラウドベースの分析プラットフォームに統合することで、データサイロを削減し、より迅速で豊富な分析情報を提供する統合データ基盤を構築しました。

これにより、開発者とアプリケーション チームは、インフラストラクチャに制限されることなく、ビジネス価値を創出することに集中できるようになりました。重要なのは、この移行が単なるプラットフォームの再構築にとどまらなかったことです。新しい実験の文化を育成し、変化するビジネスニーズに応じて、チームが分析ワークロードを迅速にテスト、調整、デプロイできるようにしました。

結果: 分析情報の迅速な取得、オーバーヘッドの低減

Managed Spark を活用した最新の Google Cloud ベースのエコシステムは、大きな効果をもたらしました。

• コア分析ワークロードの処理時間が 25% 短縮され、主要なビジネス オペレーションに関する分析情報をほぼリアルタイムで取得できるようになりました。

• 季節限定のセールイベントなど、トラフィックが急増する期間でも、SLA の遵守率が 30% 向上しました。

• ツールの統合と手動メンテナンスの削減により、運用コストが低下しました。

しかし、おそらく最も重要な改善点は、エンジニアが問題対応に費やす時間が減り、イノベーションに費やす時間が増えたことです。これにより、顧客やパートナーに価値をもたらす新しい分析機能を迅速にプロトタイピングできるようになりました。

断片化された環境から、一貫性のあるクラウドネイティブなプラットフォームに移行したことで、PayPal の分析機能は根本から強化されました。ビジネスニーズが進化するなか、スケーラブルで統合されたデータ基盤に投資することで、迅速かつ正確で、有益な分析情報を提供できるようになり、世界中のお客様に継続的なイノベーションをもたらすことができます。Managed Service for Apache Spark の導入は、最新の分析基盤を構築するうえで重要なステップでした。

Managed Service for Apache Spark と BigQuery を使用して、Agentic Data Cloud を構築する方法を今すぐご確認ください。

- PayPal、分析信頼性エンジニアリング担当ディレクター、Vinod Ganesan 氏

- PayPal、ビッグデータ プラットフォーム エンジニアリング担当シニア マネージャー、Raghu Agani 氏

In recent decades, Ireland has grown into a vibrant hub for global technology. As modernization accelerates, Irish organizations — spanning government agencies, established enterprise brands, and growing startups in AI and other areas — are all advancing their technical foundations. Today, leaders across the country are injecting agentic AI into every layer of their business and operational workflows. 

We are seeing organizations move from early prototypes to production-ready deployments using Gemini Enterprise. This progress supports Ireland's competitive position within the European market. According to a recent Implement Consulting Group report assessing Google’s local contribution, public and private leaders estimate between 40 billion to 45 billion euros of economic potential in global AI markets.

This ambition aligns with broader government initiatives. Since assuming the presidency of the Council of the European Union for the second half of 2026, Ireland has steered higher-level technology and policy discussions, outlining a National Digital and AI Strategy to improve productivity and innovation across sectors.

To support this strategy, we are focused on making these capabilities more accessible. Our local teams are collaborating with industry leaders to implement Gemini Enterprise which offers capabilities that range from conversational AI agents and natural language data analysis, to optimizing operations with agentic ecosystems.

The economic impact is already taking shape. In 2025 alone, Google operations — including our AI and cloud services — added an estimated 10 billion euros to the Irish gross domestic product. And this momentum is shared: Organizations across Ireland are using Google Cloud to modernize infrastructure and put AI to work.

Here are several ways Irish organizations are modernizing with Google Cloud and Gemini Enterprise:

Ryanair supports millions of passengers through AI-backed operations

Ryanair, Europe’s largest airline, is modernizing its collaborative operations and infrastructure by deploying Gemini Enterprise and Google Workspace for some 35,000 employees. Flight crews, operations planners, and corporate staff will benefit from streamlined decision-making, optimized crew logistics, and enhanced corporate productivity. At the same time, a dual-cloud strategy strengthens infrastructure resilience as the airline targets growth to 300 million passengers by 2034. 

Smyths Toys rethinks the customer experience with agentic support

As one the world’s largest specialty toy retailers, Smyths Toys is reshaping its customer support with Google Cloud and Gemini Enterprise. By introducing an AI agent named Codie, the retailer has resolved more than 60% of its web inquiries and reduced holiday email backlogs. Customer care teams that previously handled up to 1,000 peak-season emails a day can now focus on the roughly 50 cases that need more complex judgment.

The Irish Revenue Commissioners: Advancing public sector data

Public sector agencies are also making strides in Ireland. The Irish Revenue Commissioners — responsible for taxes, customs, and keeping Ireland’s economy running smoothly — is working with Google Cloud to migrate from legacy on-premise systems to a unified AI-lakehouse architecture designed to break down data silos and establish a single source of truth. Strict data sovereignty controls safeguard taxpayer information while Gemini Enterprise powers agentic data analysis, helping Revenue deliver secure, responsive public services.

Virgin Media Ireland: Accelerating workflows

Supported by Liberty Global's partnership with Google Cloud, Virgin Media Ireland is moving AI from exploration to production. Through modern infrastructure and automation, the team now deploys workloads three times faster, is in the process of rolling out multiple AI agents, and is launching new customer services designed to drive business growth.

Irish startups scaling with enterprise tools

While established enterprises are modernizing legacy systems, Irish startups are building on modern technology from day one. Backed by a strong local tech ecosystem, these agile teams are creating services that compete on an international stage. 

Hexis: Scaling personalized sports nutrition

Hexis builds technology solutions that help athletes refine their performance and recovery. By storing and processing that real-time biometric and behavioral data in Google Cloud, Hexis uses Gemini Enterprise to power natural language conversations that explain fueling adjustments to users throughout the day. Today, the platform supports 40% of the Tour de France peloton and half of Premier League clubs during the 2026–2027 season.

Kitman Labs: Unifying performance analytics

Founded in Dublin in 2012, Kitman Labs provides sports science and performance intelligence to more than 4,000 sporting organizations across 26 countries. By combining its intelligence platform with advanced analytics and Gemini Enterprise, Kitman Labs helps teams make data-informed decisions that support athlete health, lower injury risk, and extend player career longevity. 

Spryt: Automating healthcare coordination

Spryt streamlines healthcare coordination across the U.K. and U.S., using AI built on Google Cloud and Gemini Enterprise to optimize patients’ experiences, reduce missed appointments, and cut administrative burden. The company collaborates with the NHS, operates in more than 70 US clinics, and has analyzed 224 million appointment records as part of a multiyear initiative with Mayo Clinic.

IMPT: Automating carbon offsetting

By connecting AI, blockchain, and Google Cloud, IMPT embeds verified carbon offsetting into everyday hotel bookings and online purchases. Following a 15-week migration to Google Cloud, IMPT supports 8 million listings across 195 countries. With Gemini Enterprise, the company’s lean team handles about 400 daily customer chats with a six-second median response time, allowing staff to focus on growing its business rather than managing systems.

Transform ideas from planning to production

As Ireland continues to expand  as a global technology hub, local organizations are demonstrating how to translate AI potential into practical results. Explore our customer stories to see how other organizations are building with Google Cloud, or reach out to our team in Ireland to accelerate your journey.

Editor’s note: This article is adapted from Thomas Kurian’s keynote address at Gemini at Work 2026. It includes a number of announcements:

• Gemini, a single, universal agent for work that answers your questions, handles your knowledge work, creates your images and media, and writes and runs code. 

• Inline in Workspace, Gemini works directly inside Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar, carrying the same memory, skills, and controls it has everywhere else.

• New data and analytics skills that allow both technical teams and everyday business users to use plain-language questions to get to actionable operational insights in minutes. 

• Industry-specific specialization with tools, skills, connectors and knowledge specific for financial services and legal teams.

• How we secure and govern agents through identity and policy management, authorization and permission controls, secure sandboxing, network gateways, and more.

• Leading cost controls through multi-model orchestration, Smart Routing, real-time spend caps, and more.

• Customer use cases that showcase the breadth and depth of our customers around the world.

Bringing the best technology to all of you is what drives us at Google Cloud. In the last year, nearly 500 Google Cloud customers each processed more than one trillion tokens. Today, nearly 80% of all Google Cloud customers are using our AI products, and nearly 90% of the Fortune 100 use Gemini Enterprise. At that kind of scale, organizations have moved past experimentation and are running their business on it.

Work now starts in the prompt window. 

To meet this moment, today we are excited to announce the Gemini agent: your new single, universal agent for work. It has all of your business context and can be used for everything from knowledge work to answering questions, and from content creation to coding, all from a single prompt box. It plans the work, uses skills and tools, connects to your systems, and brings back something finished — inside the documents, the inbox, and the developer environments you already work in. It chooses the best model for the job, has built-in cost controls, and most importantly, has the security, administration, and governance required by your company.

Introducing the Gemini agent 

Gemini answers your questions, handles your knowledge work, creates your images and media, and writes and runs code — all in a single agent and a single API. You give it objectives, not instructions. You delegate an outcome and come back to finished work. For an agent to do that, it has to be connected to your personal workflows, your systems of record, and your enterprise controls. Gemini can function as your personal assistant or as a team member, where it works on behalf of a group of people, like a project manager within a team, or on behalf of a specific role in an organization, like an analyst in your finance department.

The agentic capabilities in Gemini are built around core architectural principles:

• Unified agent: Gemini is an agent that can answer your questions when you chat with it, work autonomously to complete objectives you assign it, and generate code — all from a single interface. You can assign it work, schedule tasks that need to be completed, or have it respond to events.

• Omnipresent access: Gemini can be accessed from any device including web, iOS and Android mobile devices, Windows and Mac desktops, and any channel (command line, Google Workspace, Microsoft 365, or Slack). It can also be integrated into third-party applications and surfaces and operates as a headless agent, meaning it does not need a dedicated user interface.

• Persistent execution: It runs in the cloud, meaning it maintains a single set of memories, context, and one personalization graph no matter what device or channel you access it on. You never have to re-brief it or wonder which machine you told it to do something on. Work that takes hours or days keeps running after you close your laptop, and it is still there when you come back. 

• Multi-agent orchestration: Gemini doesn’t work alone. It can dynamically create a roster of sub-agents — temporary, job-specific agents, each with their own identity — to tackle multi-step tasks. Gemini can communicate with these sub-agents to coordinate workflows, including parallel and sequential steps that can run for hours or days. In addition, Gemini can act as a coworker agent — which is more like a team member, with a persistent, defined role and operational presence across days, sessions, and multiple changing responsibilities — and delegate and coordinate tasks. Coworker agents have dedicated identities including their own @agents.company.com emails, their own persistent storage, and only have access to the context that you or your team members provide.

• Deeply contextual: Gemini arrives already knowing your tools, data, and work history. Whether you ask it a question, assign it an objective, or have it generate code, Gemini learns from every interaction with you. The longer you collaborate with it, the better it understands you and how you work. Teams can create dedicated projects to further optimize the context, skills, and tools Gemini uses when it works with you.  

• Model choice flexibility: Gemini is the agent, and the model underneath it is a separate choice. It runs each job on the model that fits best — orchestrating across our Gemini family of models and Claude  models from Anthropic today, and other leading private and open models in the future — to deliver optimal quality and lower your costs. The best model for the task is not always the largest one. Matching the model to the work raises accuracy on the difficult jobs and lowers cost on the simple ones. And the leading model changes every few months, so keeping that choice open means your context, your skills, and your data stay put when it does.

Top customers across industries were early testers and are already realizing its benefits: Premium sportswear brand On tested this new dynamic selection capability to accelerate its speed-to-market. This builds on the proven, large-scale multi-model strategies already used by leaders: Shopify blends frontier models for millions of merchants to unlock data and drive sales, and PayPal routes 10 million multi-model requests every week.

Powering Gemini: Skills, tools, and context

Gemini understands your business — everything from pricing to product portfolios to departmental norms — and all the institutional knowledge that makes your company unique. Three capabilities make that possible: tools that connect it to your systems, skills that teach it how your work gets done, and context that lets it remember. 

• Tools and tools registry: Gemini can securely connect to the software your company already runs, including collaboration tools like Confluence, Microsoft Office, Teams, Slack, and Workspace; development tools like Git and Jira; enterprise platforms like Salesforce and ServiceNow; databases like BigQuery, Databricks, Postgres, and Snowflake; and files on your own desktop. It can also connect and work securely with any Model Context Protocol (MCP) server inside or outside your company network. It also offers an enterprise tools registry, so teams can build and publish tools for the rest of the company. 

• Skills and skills registry: Skills are reusable sets of instructions, knowledge, or workflows stored as modular prompts that teach agents how to perform specific, multi-step tasks. Gemini ships with a robust global library of skills. Teams or departments can build and publish custom skills to a shared company registry, and you can build your own personal skills. Gemini chooses the right skills and tools to perform a task and continuously learns from each execution, improving its consistency, while saving token costs.

• Context and memory: Gemini learns from each question you ask it, each objective you assign it, the people you work with, and uses your personal context and your organization's context to personalize and improve the quality of its responses. It keeps four kinds of memory: session memory for the task in front of it, even when it runs for days; semantic memory, a structured knowledge base it builds as it reads documents, talks to people, and works with other agents; procedural memory for how a job gets done, including skills it writes for itself; and episodic memory of everything it has done before. Gemini onboards itself the way a new hire would, learning you, your tools, and your team before it starts.

Customers seeing significant benefits from Gemini Enterprise include:

• BNP Paribas, a European leader in banking and financial services, is transforming Corporate & Institutional Banking by deploying Gemini Enterprise into LLM@CIB, its internal generative AI assistant available to more than 65,000 employees, to streamline workflows like preparing credit memos and boosting the productivity of customer advisers while maintaining strict enterprise-grade security and data governance.

• Bradesco, one of Brazil’s largest banking and financial services conglomerates, is streamlining heavy operational workflows by deploying Gemini Enterprise for automated fiscal, accounting, and contractual analysis. The finance team has accelerated proposal reviews, service classification, and budgetary workflows, cutting document review time from 1 hour to 5 minutes while reducing risk inconsistencies by 60% and achieving over 10% in financial efficiencies.

• Merck is exploring new frontiers in molecular research with the potential to significantly compress discovery timelines while maintaining complete data privacy and security.

• Orange Spain, a leading telecommunications operator in Spain, is speeding up its digital transformation by deploying more than 1,000 custom Gemini Enterprise agents. Employees across HR, IT, sales, and customer service have built custom agents to automate incident triage, analyze network issues, and retrieve corporate knowledge, boosting operational agility and response times while helping non-technical staff automate daily workflows with zero IT bottlenecks.

• Santee Cooper, South Carolina’s state-owned electric and water utility, is modernizing its financial planning and grid reliability by deploying a specialized AI model built on Gemini Enterprise. Financial planning teams and utility operators are automating complex financial scenario modeling and query execution using simple natural language and expect to boost modeling speed by up to 75% while mitigating market risk across a $10 billion grid expansion budget.

• SOMPO, a leading Japanese insurance provider, built over 10,000 custom AI agents across its 34,000 employees to automate tasks like document search and summarization for employee efficiency. Their engineering team used Gemini Enterprise to cut the development time for new models from one week to a single day, freeing up engineers for more important work.

• Ulta Beauty is helping guests shop 30,000 products by deploying the Ulta AI shopping assistant built with Gemini Enterprise. Online shoppers have translated conversational questions into personalized beauty recommendations, boosting digital sales conversion rates three-fold while skipping traditional search filters to buy the products they love instantly.

• Wesfarmers, the parent company of Australian retail giants Bunnings, Kmart, and Officeworks, is deploying agents across its portfolio. An internal agent at Bunnings saved staff half a million hours of administrative work, while shopping agents — that help customers discover products and build their carts — have increased conversion rates up to three times higher for Kmart and Officeworks.

Gemini in Google Workspace

Gemini not only answers your questions, handles your knowledge work, and writes your code — it works directly inside Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar, carrying the same memory, skills, and controls it has everywhere else. It works inline: in the email thread, in the document, and in the chat space. 

Inside Workspace, Gemini works three ways:

• Personal assistance: Gemini works as your personal agent and arrives already knowing your calendar, your team, your projects, and how your documents relate to one another. It is briefed before you start.  For example, you can ask Gemini to set up a meeting with the usual team of regional event leads next week, without supplying a single name or email address. Gemini determines who those people are from the membership of your chat space and the thread from your last event, checks their calendars, and starts an email thread to coordinate a time that works, even with external participants. It handles work that spans applications the same way: researching market trends, building a financial model in Sheets, then creating a deck that presents both, without you re-explaining the project at each step.

• Proactive delegation: Gemini uses this same intelligence to proactively suggest tasks you can delegate to it. For example, if your manager emails you asking for the latest project update as a slide deck, Workspace Intelligence recognizes that as a delegatable task and gives you a single-click option to pass it to Gemini. It applies the same reasoning to your inbox, surfacing the message that matters most rather than the one that arrived last, and explaining why. 

• A member of your team: You can also use Gemini to create a coworker agent that works with your entire team. You simply describe the role you need, and Gemini creates it. The agent receives its own Workspace account, including an email address, calendar, Drive, and presence in your company directory. Your colleagues work with it the way they work with anyone else, by adding it to a Chat space or @mentioning it. For example, a marketing manager can ask an events coordinator agent in a chat group to draft a launch readiness document, which it posts back to the group when complete. The marketing manager could also tag the agent in a document comment, where it can suggest an edit in the Doc and reply in the comment thread, appearing under its own name in version history. A coworker agent acts under its own identity rather than yours, and it sees only what you share with it. Access follows the sharing and membership your team already uses, and no outside connector holds your data.

Data analysis, data engineering and machine learning 

We are also giving Gemini skills built for specific domains, starting with data.

Data and analytics represent a foundational domain where Gemini transforms business workflows, enabling organizations to move from plain-language questions to actionable operational insights in minutes. We are introducing purpose-built capabilities tailored to both technical teams and everyday business users:

• For Data and ML engineers: We are extending Gemini with machine learning skills and tools that back every data scientist and data engineer with a team of agents. Engineers describe the outcome they want in plain language, and Gemini generates PySpark code, provides notebooks to edit and test it, trains models, and troubleshoots and fixes pipeline issues on its own.

• For business users: Anyone in your organization can generate reliable, real-time operational reports simply by asking. Gemini uses operational reporting skills integrated with BigQuery and the Knowledge Catalog to construct and save the query. Once saved, teams can run reports on demand without incurring token costs, guaranteeing consistent, verified answers every time.

Three Google Cloud capabilities keep those answers grounded:

• Knowledge Catalog: Gemini integrates directly with your Knowledge Catalog to map business definitions once so all agents use them. This deep understanding of your organization’s schemas and business rules for terms like “net margin” and “addressable market” dramatically improves accuracy. Whether your metrics live in Databricks, dbt, LookML, or SAP, Gemini reads them directly where they sit to ensure factual responses.

• Smart Storage: Ninety percent of enterprise data is unstructured — PDFs, images, scans, and audio recordings — which often remain "dark" and unreadable. Smart Storage changes this by enriching unstructured objects in place and writing context back directly onto the object itself. The intelligence stays where the bytes reside and inherits your existing security posture.

• Borderless Lakehouse: Organizations should not be forced to move or duplicate their data to use AI. Our borderless Lakehouse allows Gemini to query Amazon S3 and Azure Data Lake with no variable egress fees, read directly from Salesforce Data 360, SAP, ServiceNow, and Workday without copying data, and federate open Apache Iceberg tables across Databricks Unity, Snowflake Horizon, and AWS Glue.

You can start by registering data sets that you discover in your lakehouse with the Knowledge Catalog, and then assign Gemini simple or complex analysis to perform. It identifies the necessary data sets from the Knowledge Catalog, generates the necessary SQL, Spark or Python code to calculate the results, and runs the code on our Managed Spark Service with Lightning Engine or in BigQuery. It can also generate charts and build dashboards in the tools your analysts already use.

By grounding its data agents in the Knowledge Catalog, Bloomberg Media lifted its SQL query accuracy by 63% during initial development. As William Anderson, Bloomberg Media’s CTO, noted: “...by grounding our AI in a trusted institutional context, we ensure confidence in the accuracy and quality of every insight generated.”

Additional customers are seeing tremendous value from our data solutions:

• Deutsche Telekom used BigQuery, Cloud Storage, and Knowledge Catalog to build a unified data lakehouse to overcome a fragmented and slow data infrastructure spread across 40+ legacy on-premise systems, allowing their teams to now move ten times faster while addressing European data sovereignty and security requirements.

• Etsy migrated three petabytes of data to a unified lakehouse. By using BigQuery and open-source Apache Iceberg, they can now perform critical data joins up to 60% faster, allowing them to train models on much larger datasets and better connect buyers with the perfect items.

• Snap connected its Prism agent directly to its storage archives, cutting technical diagnostic troubleshooting times down from 30 minutes to just 30 seconds.

Industry-specific specializations

Every industry runs on knowledge a general model does not have. We are specializing Gemini for individual industries, with the skills, tools, and knowledge specific to each one. It is now in preview for Financial Services and Legal, and coming soon to Government, Healthcare, and Retail. 

• Financial Services: Gemini for Financial Services automates what is usually pieced together across many workstreams: investment research, credit analysis, and risk modeling. It draws on trusted financial data from FactSet, LSEG, S&P Global, SEC filings, and your own proprietary repositories. Built with more than 50 foundational skills and designed to satisfy rigorous compliance, it shows its reasoning through confidence scores, explicit methodologies, full data lineage for easy auditing, and source citations you can check. Gemini for Financial Services is already being used by global financial institutions like CME Group and Deutsche Bank.

• Legal: Gemini inherits matter-level permissions and ethical walls directly from document management platforms like NetDocuments and iManage. Partners like Harvey automate complex legal work while meeting the firm's confidentiality standards, while Onit streamlines contract lifecycle management without exposing privilege. Cooley is building a confidential information redaction agent on Gemini Enterprise for Legal that automates redactions, including personally identifiable information and confidential material, before legal filings go public. In high-stakes litigation, this can cut days of document review while maintaining the firm's rigorous standards for client confidentiality.

In addition, we’ve seen our ecosystem and customers create new vertical applications as well. For example, Deloitte has created a multi-agentic solution to help organizations identify the highest-value opportunities for AI applications for their business. Their Agentic AI blueprint develops operational heat maps to pinpoint areas ready for agentic redesign, accelerating the deployment of custom agentic workflows and achieving up to a 3x faster path to measurable business impact.

Securing and governing agents

Two factors determine whether an enterprise agent program succeeds or stalls: whether you can govern it, and whether you can afford it.

When deploying autonomous agents across an organization, governance comes down to answering four fundamental questions:

• Who is the agent, and what identity does it have? 

• What is it allowed to do or what permissions is it granted? 

• What did it do and where can I see what it did? 

• What should it never touch?

Identity, policy, and observability answer the first three. The fourth is Agent Gateway.  

• Identity: Every agent gets its own identity, cryptographically attested and governed like an employee, with least-privilege permissions. That identity is stamped into the logs that capture its work, and into any virtual machine spun up to run code on its behalf.

• Authorization and permissions: You give each agent fine-grained, role-based access permissions, approved by your organization’s security administrators. When the Gemini agent connects to an external system, its identity is mapped and propagated through industry standards such as OAuth.

• Auditing: In addition, every action Gemini takes is written to an audit trail and attributed to the agent rather than to a person. Since the identity travels into any virtual machine the agent spins up to run code, you can monitor those logs with our observability tools in real time and catch anomalous behavior before it matters. 

• Policy management and control: Gemini gives you identity, discovery, governance, and security by default. All Gemini agents execute tasks safely inside an Agent Sandbox with its own network boundary. All traffic — in, out, and between agents — passes through Agent Gateway, an AI network firewall enforcing your organization’s policies in real time. You write the policy once, such as: “agents may not open documents classified Need to Know.” Gemini applies it to every agent in your company instead of checking one agent at a time.

Leading cost controls and spending options

While per-token prices have dropped 98% since 2024, enterprise AI volume has exploded. Running every simple loop through a premium model quickly breaks corporate budgets. We announced new flexible spending options recently and are adding to those today: 

• Multi-model orchestration: As mentioned earlier, Gemini allows you to choose the right model for the job, and even combine different models for specific tasks in larger projects to deliver optimal quality and lower your cost.

• Smart routing: Our routing tool automatically triages enterprise workloads so each one runs on the model that delivers maximum performance at the lowest possible cost.

• Real-time spend caps: You can set a hard limit on a project's AI spend in the Cloud Billing Console, and Gemini enforces it. Gemini monitors token usage and sandbox costs, and if a spend cap is triggered, that project's agent pauses, and you can choose to resume work with a single click in the console. Because the tracking is per project, companies can charge AI costs back to specific departments.

Infrastructure: 80% better price-performance

All of this innovation — the agent, the data, the identity, and everything else — runs on our AI Infrastructure and our models. They are the reason the economics work.

First, our AI infrastructure. We co-design the chips, the network, the data center, and the software that connects it all as one highly-optimized system — our AI Hypercomputer. This vertical integration delivers significantly better price-performance than the generic setups, and we are continuing to push the state of the art here. For example, our latest TPU 8i system delivers 80% better price-performance than the prior generation, making complex, high-value agent tasks both fast and highly affordable.

On top of this silicon sit our models: Argon for frontier reasoning, Flash for speed and volume, Omni for generative media, and Gemma for lightweight, open-weights edge workloads.

The edge capabilities are already real. NASA’s Jet Propulsion Laboratory is running Gemma directly on a satellite in orbit, a first for a vision-language model. JPL’s NAVI software analyzes Earth imagery on board the satellite and sends a summary with key information to ground operators.

Supercharged by our ecosystem

We remain committed to choice at every layer of the stack, ensuring you have the freedom to choose the best tech stack for your unique needs.

Inside Gemini, you have a broad choice of third-party agents from leading SaaS providers as well as connectors that are ready to use. They are even easier to discover as collections in the new AI Solution Finder.

Around Gemini, our services ecosystem continues to rapidly scale to meet enterprise demand. Together, in the last month alone, our global consulting partners have put more than a hundred thousand of their developers and consultants through Gemini hackathons.

In addition, Accenture has made a significant investment by establishing a dedicated Gemini Enterprise Business Group to accelerate customer adoption and innovation. Several other partners have also expanded their commitments to support the growing demand for Gemini, including establishing specialized centers of excellence and training Gemini credentialed practitioners to help customers build and deploy production-grade agents faster. 

Gemini Enterprise in action: Global momentum

Organizations worldwide are driving measurable impact across every major region:

Europe and Middle East

• Arden University, a UK provider of flexible online and blended learning, is preparing students for the global job market by rolling out Gemini Enterprise. Over 30,000 students and staff will now have access to advanced Al tools to personalize their studies and gain essential skills for the workplace.

• Commerzbank, one of Germany’s largest private banks, is using Gemini Enterprise to automate document quality assurance, reducing manual work on document reviews from 20 hours to just one. They are expanding this with a multi-agent system for AI-driven QA.

• Lloyds Banking Group is scaling agentic AI across the bank. Envoy, a secure, Gemini-powered pipeline, has already onboarded nearly a thousand engineers building production-ready AI use cases. From fraud detection to commercial client onboarding, Envoy gives teams a reusable agent marketplace, a "golden path" for building agents, and a CI/CD pipeline — all wrapped in the guardrails and security a highly regulated bank demands.

• Nokia is tackling the complexity of modern telecom networks with an ecosystem of specialized agents built on Gemini Enterprise. This allows operators to fix issues before subscribers are impacted by automating troubleshooting and cutting issue resolution time by up to 80%.

• On, a premium sportswear brand, is scaling workforce productivity and efficiencies by deploying Gemini Enterprise to every employee to drive personal productivity and foster an AI-ready culture. Team members have launched no code agents that help with efficient knowledge extraction, executive reporting, market research, scheduling, onboarding and more.

• Ooredoo Qatar, the leading telecommunications provider in Qatar, is integrating Gemini Enterprise into their AI transformation strategy to drive advanced automation and intelligence. Its customer support, marketing, security, and field operations teams have deployed AI agents to optimize internal operations management, while accelerating rapid issue resolution and marketing campaigns to deliver around the clock, highly personalized, proactive customer experiences.

• Qatar University, the nation's premier institution of higher education, is transforming higher education operations and academic research by deploying Gemini Enterprise campus-wide. Thousands of faculty and staff are deploying more than 2,000 custom AI agents to modernize institutional workflows, automate complex administrative operations, and enhance academic productivity.

• Ryanair, Europe’s largest airline, is modernizing its collaborative operations and infrastructure by deploying Gemini Enterprise and Google Workspace to 35,000 employees. Flight crews, operations planners, and corporate staff will benefit from automated decision-making, optimized crew logistics, and enhanced corporate productivity, while a resilient dual-cloud strategy strengthens infrastructure resilience and supports the airline's target growth to 300 million passengers by 2034.

• Starling, one of the UK's top-rated digital banks, built its Scam Intelligence tool on Gemini Enterprise. It analyzes online marketplace ads for suspicious content and has quadrupled the rate at which customers cancel potentially fraudulent payments.

• Other major European customers include Berenberg in banking, Bouygues Telecom, the application building platform Lovable, and Siemens in automation.

Asia Pacific

• Airwallex, the global financial platform processing over $200 billion annually, has deployed Gemini Enterprise across its infrastructure to resolve customer issues 10x faster, automate dispute handling to cut case time by 40%, and accelerate software time-to-market by over 95% while building specialized agentic finance workflows for automated treasury, payables, and payments.

• DBS Bank, Southeast Asia’s largest bank, is moving past pilots into enterprise production by deploying deterministic chains of 70 to 80 specialized agents on Google Cloud to synthesize complex financial, regulatory, and market intelligence for corporate credit memos, shifting relationship managers from manual research to high-value client advisory while keeping humans firmly in the loop.

• Hitachi is transforming global power and utilities by deploying agents directly to frontline workers via HMAX, Hitachi’s portfolio of AI-powered solutions. Field technicians have built agents for over 200 use cases — such as using image-recognition agents to verify photos of every tool and wire before and after a job — boosting productivity by up to 30% while keeping workers safer.

• NTT DOCOMO, Japan’s leading mobile operator, built data agents that reduced time-to-insight from two weeks to instant, which gave four hundred fifty thousand hours a year back to the business. Building on this success, they are now deploying Gemini Enterprise to drive their next wave of productivity.

• Tata Steel, a global steel manufacturing leader, successfully deployed more than 300 specialized AI agents in nine months to enhance manufacturing safety, optimize predictive supply chains, and cut customer complaint turnaround times by 50%.

• Zip, an Australia-based digital financial services company, is transforming its product-development lifecycle in the U.S. by deploying Gemini Enterprise to build an AI-Native Product Factory. Cross-functional teams will use this unified agentic environment to connect customer research, design, engineering, and compliance, boosting product development velocity and parallel experimentation while lowering the cost and complexity of bringing new financial products and experiences to market.

• Other APAC leaders include LG in electronics, Marubeni in trading, and TCS in technology services.

Latin America

• Banco BV, a leader in the Brazilian financial sector, is using Gemini Enterprise to create personalized scripts for its customer relationship managers, accelerating client communications by 80%. The new AI platform allows the bank to quickly engage customers with tailored financing and investment opportunities.

• CNA/SENAR, Brazil’s national agriculture and livestock federation, is expanding access to critical agricultural information by deploying JoIA, a conversational AI assistant on WhatsApp built on Gemini Enterprise. 40,000 active users, with the potential to support 5 millions producers across the country, have accessed localized input pricing, weather forecasts, and financial health evaluations to facilitate in-field decision-making.

• Farmacias del Ahorro, one of Mexico’s leading drugstore and pharmacy retail chains, is accelerating corporate operational efficiency by deploying PotencIA, an internal program built on Gemini Enterprise. 1,000 corporate employees across IT, e-commerce, and marketing have adopted the tools for daily business workflows, boosting active user adoption to 95% while generating an estimated 140,000 hours in annual productivity gains.

• Globo, Latin America’s largest media company, is optimizing early-stage software planning by deploying PlanejaAI, an AI agent solution built on Gemini Enterprise. Product Owners, managers, and analysts have accelerated epic refinement and quarterly planning, boosting pre-development plan accuracy by 33% and slashing validation time from 20 minutes to 6 seconds while saving 127 hours in a single quarter.

• Grupo Bafar, a prominent Mexican food producer and consumer retail group, is accelerating national retail expansion by deploying Gemini Enterprise for automated contract management. Legal and retail operations teams have streamlined the preparation of operational annexes for store openings, boosting processing capacity tenfold while slashing contract preparation time from 140 to 17 minutes per branch.

• Laureate Education, a major higher education network serving nearly 500,000 students across Mexico and Peru, is transforming academic and administrative operations by deploying Gemini Enterprise and Gemini for Education. Faculty and staff have personalized learning paths, enhanced teacher support resources, and modernised campus administration, boosting student engagement and operational readiness while driving long-term career employability for graduates.

• Other LATAM leaders include iFood delivery services, Livelo in customer loyalty, SEBRAE in public services, and Yduqs in education.

North America

• Albertsons, a leading U.S. food and drug retailer, is ensuring customers get the freshest produce with its patent-pending Intelligent Quality Control tool built with Gemini Enterprise. Distribution center inspectors are using computer vision and Gemini models to instantly evaluate fresh fruit and vegetable quality against company standards, boosting rating consistency across shifts and locations while speeding up inspections to get perishable food onto grocery shelves faster.

• Avid, a leading provider of media technology for film and television, is streamlining video post-production through browser-based editorial experiences and agentic creative workflows built with Gemini Enterprise. Editors and directors can use conversational content discovery, AI-assisted transcription, and intelligent media organization within their creative workflows — including within a Google Chrome browser — helping teams spend less time on manual administrative tasks and more time focused on storytelling.

• Constellation Energy Company, a leading energy supplier, will build Gemini Enterprise agentic workflows directly into its core operations. Power generation teams will have access to advanced AI capabilities to accelerate capacity delivery, optimize asset dispatch, and protect critical infrastructure.

• Honeywell Technologies Forge platform includes predictive maintenance capabilities built on Gemini Enterprise, such as contextualizing operational data at scale and providing proactive maintenance recommendations. This helps customers minimize costly, unplanned outages, protecting and extending the lifespan of their mission-critical equipment.

• PayPal built its AI platform on the Gemini Enterprise to create new commerce tools, cutting the time it takes to deploy new models from weeks to just minutes.

• The Home Depot, the world’s largest home improvement retailer, is speeding up customer support and product discovery by deploying AI voice and digital assistants built on Gemini Enterprise. DIY shoppers and contractors calling stores or using Magic Apron have skipped rigid phone menus, searched local inventory with natural speech, and resolved inquiries in real time, boosting phone resolution speeds by four-fold (understanding customer needs in under 10 seconds) while allowing in-store associates more time to focus on face-to-face shoppers.

• The RealReal, the leading online marketplace for authenticated luxury resale, is transforming luxury consignment by deploying Ask TRR, a conversational shopping concierge built with Gemini Enterprise. Resale shoppers have navigated and searched a massive, shifting catalog using natural language instead of rigid filters, which will boost user engagement across all 45 million members while making it effortless to discover and secure rare, "one-of-one" luxury pieces before they sell out.

• Verizon is modernizing its customer and enterprise operations with Gemini Enterprise and agentic Data Cloud. The technology has helped resolve inbound customer calls and chats automatically, helped predict and resolve network anomalies, and automated marketing campaign orchestration, boosting customer satisfaction and automated resolution rates while unifying legacy data lakes into a single source of truth.

• Whenere, an immersive storytelling platform, is revolutionizing interactive 3D worldbuilding, starting with bringing Pride and Prejudice to Fortnite. To build the Netherfield estate, the team used Dreamlands, an agentic 3D worldbuilding platform built on Gemini Enterprise. With Gemini generating each new texture in about seven seconds for under ten cents, one artist created nearly 250 custom assets in a single day and completed a historically accurate estate in under a week, all while keeping full creative control.

• Leading hospital systems and healthcare services companies like Highmark Health and Seattle Children's rely on Gemini Enterprise to run secure administrative and clinical support workflows.

• In public sector, Gemini Enterprise is being used across the states of Arizona and Missouri, the State University of New York (SUNY), and the Chief Digital and Artificial Intelligence Office, which has put Gemini Enterprise in the hands of 3 million uniformed and non-uniformed members of the US armed services. They have built more than a hundred thousand custom agents to streamline everyday tasks.

• Small and midsize businesses including Aerotech, EDSpan Global,, Pinch Creative, Quadrant Health Group, Salt Productions, Strategem, and more are using Gemini Enterprise to empower their teams with AI agents that can streamline their operations, automate administrative workloads, help find information, and even support customer engagement. In fact, usage of Google Cloud’s AI tools by these customers has grown more than 5x year over year. 

• Other North American startups and innovators like Every Cure, Harvey, OpenEvidence, Recursion, and Replit are using Gemini Enterprise.

Our commitments to you

As you build the future on Gemini, we make three firm commitments:

1. We take the friction out: A future-proof platform that runs anywhere, executes any task, supports your choice of models, and applies enterprise controls.

2. We eliminate complexity: Google builds and integrates the entire stack: silicon, models, skills, tools, and security.

3. What you build stays yours: Your people and your data do not need to move, and your proprietary inputs and outputs remain entirely your own.

The technology is ready, our global partner ecosystem is scaling, and Gemini is ready to work for you.