How customers use Google Cloud AI products

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Today, as part of our Gemini at Work global event, we are showcasing nearly 50 new customer stories from organizations around the world to highlight just how impactful generative AI can be when you put it to work at scale — including Pods, Snap, Volkswagen US, Warner Bros. Discovery and many others. We’re inspired by what customers are building and excited by how quickly they’ve been able to move ideas from experimentation into production with our Vertex AI platform. We’re also seeing major boosts in productivity through Gemini for Google Workspace, with customers saving an average of 105 minutes per user, per week, according to our recent study of enterprise customers.

This builds upon the momentum we’ve seen in recent months, as we’ve announced new or expanded partnerships with leading brands like Airtel, Asteroid Institute, CMA CGM, Eiffage Partners, Hudson River Trading, Humana, LG AI Research, Motorola, New AIM, Nova Scotia Health, and Telefonica. When we speak to our customers and partners, they are choosing Google Cloud as their strategic gen AI partner and platform for four distinct reasons:

  1. They can access and customize the best foundation models from both Google and the industry, including Gemini. We are the only Cloud provider to offer widely-used first-party, third-party, and open models. Enterprises want to choose a platform that gives them choice.
  2. They can create sophisticated gen AI agents and experiences faster with our single, integrated development platform, Vertex AI. It sits on top of our world-class infrastructure and is the only unified platform that lets customers discover and access models, tune and augment models, and create, ground, deploy, and manage AI agents and experiences.
  3. They can be more productive with our AI agents. We offer Gemini for Google Cloud and Gemini for Google Workspace, as well as purpose-built agents for Customer Engagement and Search. Customers are really appreciating these packaged agents, in addition to building their own.
  4. They are deploying models with confidence, with the most comprehensive approach to grounding in enterprise truth. This significantly improves response accuracy and completeness, and lets them control their brand voice and customer experience.

Six types of AI agents

We continue to see customers and partners benefiting from AI agents — intelligent systems that go beyond simple chat and predictions, to proactively take actions. What makes AI agents unique is they help achieve specific goals, whether that’s guiding a shopper to the perfect pair of shoes, helping an employee look for the right health benefits, or supporting nursing staff with smoother patient hand-offs during shift changes. We see AI agents centering around six use cases:

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