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gemini

455

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Activity Trend

224 peak/qtr
2020-Q1 2026-Q1

Activities

455 activities · Newest first

Learn how Equifax is driving productivity gains by adopting Gemini & Google Workspace. We’ll cover their strategic migration from Microsoft to Workspace, which set the foundation for seamless generative AI. This session highlights their Gemini pilot for 1,000 users, focusing on practical strategies for change management & maximizing user adoption. We’ll share how Equifax empowered employees with prompt engineering & tailored use case training, offering a replicable model for organizations.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Always wanted to get started with open source LLMs? Meta's Llama models are among the most popular and best performing in the world – and you can find them in Vertex Model Garden. In this session, we'll cover everything you need to know about working with Llama models on Vertex, from prompting best practices to choosing the best deployment method for your use case. With practical demos and real-world examples, discover how Llama can power your startup.

**Please bring your laptop to get the most out of this hands-on session**

Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Take part in the new SOC Experience – a view into real-world attack scenarios. Learn about the latest hacker tactics and how Google equips cybersecurity teams with the data, AI, and scalable analytics to detect and remediate attacks.

KPMG LLP is driving the AI-powered trend of software disintermediation using Google Vertex AI and Gemini. Together with a leading commercial banking system, KPMG developed an AI Advisor and Agent that interacts directly with the system of record, eliminating the need for employees to navigate complex screen chains. The concept, applicable across industries, can significantly reduce direct fees and employee costs. Join us to explore the implications of a future where AI Agents streamline system interactions and enhance operational efficiency.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

We will delve into the practical applications of AI-assisted coding within a large organization, highlighting the specific ways Ulta Beauty's developers are utilizing Gemini Code Assist to streamline workflows. Understand how Ulta successfully gained buy-in from both management and engineering teams by demonstrating the tool's value and addressing potential concerns. Learn about Ulta's thoughtful approach to integrating new AI technologies while prioritizing security, responsible usage, and alignment with existing development processes. 

The landscape of retail is rapidly evolving, and leading brands are embracing the power of AI to create more engaging and personalized customer experiences. This dynamic panel explores how leading retailers have deployed Google AI technologies to optimize search functionality, personalize product recommendations, streamline customer interactions, and ultimately drive increased revenue and satisfaction.

In this session, we’ll show how Vertex AI and BigQuery make the process of integrating data into AI models as easy as 1, 2, 3. You’ll learn how to seamlessly integrate your data estate at every stage of AI development, from exploration and feature engineering to model training and deployment. We’ll also introduce our Data Science Agent and Vertex AI Feature Store 2.0, and how you can accelerate your innovation velocity with AI.

Planning to build AI agents, but unsure where to start? This session provides a practical guide to agent design for both developers and non-coders. We’ll discuss key design tradeoffs, best practices, and how to match your use case, data, and team with the right tools and techniques.

Step into the journey from startup to IPO with exclusive insights from Spotify. Discover how to navigate pivotal moments on the growth path, from evolving your organizational structure to tackling major architectural shifts that prepare you for an expanding customer base. Learn how cutting-edge AI can be your ally in streamlining operations, scaling with precision, and making data-driven decisions that set you apart.

Imagine a world where interacting with your data is as simple as chatting with a friend. Gemini in Looker makes this a reality, bringing the power of Google's most advanced AI models and agents directly to your BI workflows. This session explores how Gemini's genAI capabilities and Looker Agents are being integrated into Looker, empowering users to analyze data, build dashboards, and generate insights using natural language. Discover how this powerful combination unlocks new levels of productivity for BI professionals and business users alike.

This hands-on lab guides you through building a captivating generative AI application using the Gemini API in Vertex AI. You'll leverage the Streamlit framework to create an interactive interface for generating stories, providing a seamless user experience. After testing your application locally in Cloud Shell, you'll deploy it to Cloud Run for scalable and reliable serving. This hands-on experience equips you with the skills to integrate Gemini with user interfaces and efficiently deploy your AI applications.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

session
by Kan Yao (Walmart) , Neel Sisodraker (Realtor.com) , Holt Skinner (Google Cloud AI) , Tom Beyer (Google Cloud)

Want large language models (LLMs) that are truly knowledgeable and context-aware? This session explores the latest advancements in grounding, expanding the knowledge frontier for LLMs. You’ll learn about recent launches that allow you to ground your models with data across Google Search, curated industry data, Google Maps, and much more.

Discover how a leading transportation and logistics firm automated shipment document processing using Google's Gemini 1.5 Pro multimodal LLM with Pythian. Learn how they reduced driver dwell times by 10x, improved cargo throughput, and enhanced operational efficiency.  Hear the pros and cons of automating data extraction in the transportation industry and explore how Google Cloud Platform and Vertex AI were used to create an all-in-one solution that scans documents, extracts data, validates accuracy, and integrates with existing systems.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Google is transforming its marketing workflows with AI, slashing task time from weeks to minutes. This session explores the business problem and the solution: a Gemini-powered product that embeds AI-assisted content creation directly into our publishing platform replacing over 10 disparate tools. We will share some key technical considerations when working with Gemini including API design, prompt engineering versus fine-tuning, and evaluation techniques to ensure high quality output. Learn how to achieve similar results by integrating AI into your marketing ecosystem.

session
by Pritha Mehra (United States Postal Service (USPS)) , Chris Niehaus (Google Cloud) , Amy Pechacek (Wisconsin Department of Workforce Development (DWD)) , Scott Melvin (NY Department of Labor)

Learn from public sector leaders about how they are innovating and improving the citizen experience with AI-powered tools and virtual agents. By applying technology to streamline processes, personalize interactions, and improve access to information, public sector agencies are able to more efficiently and effectively serve their citizens.

Discover why Danfoss, a global leader in energy-efficient solutions, tackled the AI-driven demand forecasting challenge. Accurate forecasting is vital for optimizing supply chains, reducing costs, and enhancing customer satisfaction. Partnering with Google Cloud and Capgemini, Danfoss developed a system tailored to its needs. Understand the transformative impact of AI-driven demand forecasting and why solving this problem is crucial now for Danfoss to stay competitive and support global sustainability goals.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Breakthrough innovations are great, but are you wondering how other enterprises are using Gemini and Vertex AI? Join Google and industry experts in this session to learn how they are using Gemini and Vertex AI in production to power their workforces and workflows with AI.