Join us to learn how Avery Dennison and Mercer International are transforming their workflows with Google Workspace with Gemini. They'll share their journeys, including evaluation criteria, roll-out strategies, and the impact of generative AI on productivity and employee satisfaction. Gain valuable insights into successful AI adoption and learn how to leverage these powerful tools within your own organization.

Whilst GenAI has brought conversational experiences to the forefront, the next generation of web interfaces will demand more than just chat interactions. Instead, delivering highly personalized experiences requires a powerful blend of search, dynamic multimodal visual elements, and conversational interactions. In this session, discover how Valtech, the experience innovation company, is leveraging Vertex AI Agent Builder and Gemini with React to redefine experiences on the web.

This Session is hosted by a Google Cloud Next Sponsor.
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Is your team ready for the future of cloud? Discover how Google Cloud is equipping partners with the cutting-edge expertise needed to capitalize on the rapidly evolving generative AI landscape. You’ll learn about these transformative programs, learning paths, as well as targeted journeys for Vertex AI, generative AI Agent Builder, Gemini, and Customer Engagement Suite. Whether your just starting your gen AI journey, or are ready to tackle advanced implementations, we have just the training for you.

Join us to learn how Globe Telecom and Banesco USA are transforming their workflows with Google Workspace with Gemini. They'll share their journeys, including evaluation criteria, roll-out strategies, and the impact of generative AI on productivity and employee satisfaction. Gain valuable insights into successful AI adoption and learn how to leverage these powerful tools within your own organization.

An architecture for a robust custom AI chatbot backed by Vertex AI with Gemini and fully managed GCP services. Cloud-Based: Scalable platform will ensure high availability and performance. Reduced Development Time: Significantly reduce the time and effort required to build and deploy custom AI chatbots. Scalability and Performance: Ensure that the chatbots can handle high volumes of traffic and maintain optimal performance. 

The solution democratizes the development of AI chatbots, making them accessible to wider enterprises and various domains."

Using Google AI stack, Tech Mahindra has developed AgentX program and has built reliable AI Agents to deliver industry best ROI. Our "Aether" architecture combines Gemini models with industry orchestration and integration approaches that work in real enterprise settings. We will walk through how we've tackled the tough problems - keeping agents reliable, managing knowledge effectively, and controlling those frustrating hallucinations in complex workflows, resulting in boosting productivity and improving experiences across the board.

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.

As brands drive towards personalization and global outreach, it puts immense pressure on marketing operations. Learn how Publicis Sapient is leveraging Google Cloud’s Gen AI technologies to optimize our clients’ marketing operations and deliver growth through hyper personalization and efficient content creation. We will share a demo of how Retailers and Consumer Products companies can manage their full marketing ecosystem using Google Gen AI stack, including Gemini, Imagen and Vertex AI.

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.

Want to control the output of your AI agents? This session explores essential Agent Ops practices, including metrics-driven development, large language model (LLM) evaluation with retrieval-augmented generation (RAG) and function calling, debugging with Cloud Trace, and learning from human feedback. Learn how to optimize agent performance and drive better business outcomes.

Join us to learn how Ocado Retail and Rentokil Initial are transforming their workflows with Gemini in Google Workspace. They'll share their journeys, including evaluation criteria, rollout strategies, and the impact of generative AI on productivity and employee satisfaction. Gain valuable insights into successful AI adoption and learn how to leverage these powerful tools within your own organization.are transforming their workflows with Google Workspace with Gemini. They'll share their journeys, including evaluation criteria, roll-out strategies, and the impact of generative AI on productivity and employee satisfaction. Gain valuable insights into successful AI adoption and learn how to leverage these powerful tools within your own organization.

Gemini 2.0, the latest foundational model released by Google DeepMind, offers improved performance, real-time interactions support, text-to-image and text-to-audio generations, Google Search grounding, and reasoning – all under a unified SDK that allows you to flawlessly navigate from the Gemini API to Vertex AI. In this talk, you’ll learn about the newest Gemini 2.0 capabilities, how to accelerate your prototyping, and guidelines to deploy your solutions from a single API to more complex pipelines.

This talk provides an in-depth look at the core principles for developing effective and dependable Generative AI (GenAI) agents. We will begin by exploring fundamental LLM Ops best practices, such as caching and latency-aware design. We will then delve into techniques for optimizing agent performance, including reranking, session management, and advanced prompt engineering. Additionally, the session will cover critical aspects of GenAI development like Reinforcement Learning from Human Feedback (RLHF), Supervised Fine-tuning (SFT), and robust evaluation methods. Attendees will leave with a comprehensive understanding of the architectural considerations essential for constructing high-performing and reliable GenAI agents.

Capitalize on the rapidly expanding Google Workspace market, fueled by Gemini integration in every GWS contract. Optimized for partner success, discover how Google is investing in these partnerships with new incentives & benefits. Walk away with actionable steps for partners to leverage these opportunities and lean-in with Google Workspace.

The pond became a crime scene, and Gemini was the detective! Join us as we share how Gemini was used to investigate the mysterious deaths of some fish. Discover how this powerful large language model (LLM) can analyze hours of video footage to identify threats, automate responses, and help solve real-world problems – all without any pretraining or complex setup. In minutes, we’ll show you how to analyze videos and get insightful results with just a few lines of code.

Hear how GigaOM, a leading technology analyst firm partnered with Pythian to leverage Google's Gemini AI model showcasing its transformative potential. Learn how GigaOM enabled advanced question-answering on GigaOM’s reports, enhancing user engagement and insight accessibility, while eliminating manual analysis. Howard and Paul will share the prompt engineering, data integration and rigorous testing techniques that led to contextually relevant and accurate responses, providing clients with rapid, self-serve access to valuable insights.

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.

Unlock the power of code execution with Gemini 2.0 Flash! This hands-on lab demonstrates how to generate and run Python code directly within the Gemini API. Learn to use this capability for tasks like solving equations, processing text, and building code-driven 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!

This session delves into the practical applications of AI in transforming customer support within the travel and retail industries. We’ll examine how businesses are pairing real-time digital insights with AI-powered conversational servicing to enhance customer interactions and streamline support processes. Explore real-world examples of how these advancements are leading to significant improvements in efficiency, customer satisfaction, and agent empowerment.

This session demonstrates how BigQuery ML connects all your data to cutting-edge AI using familiar SQL. Learn practical steps to build, train, and deploy machine learning (ML) models for predictive analytics directly in BigQuery while minimizing complexity and data movement. Discover ways to perform tasks such as sentiment analysis, audio transcription, and document classification with the latest models from Gemini, Claude, Llama, and others directly in BigQuery without the need for advanced Python or specialized ML skills.

Unlock the true potential of your enterprise data with AI agents that transcend chat. This panel explores how leading companies build production-ready AI agents that deliver real-world impact. We’ll examine Google Cloud, MongoDB, Elastic, and open source tools, including generative AI and large language model (LLM) optimization with efficient data handling. Learn practical approaches and build the next wave of AI solutions.

Are you a DevOps engineer or site reliability engineer (SRE) tasked with keeping mission-critical applications running 24/7? What if AI could help you detect, diagnose, and resolve incidents faster than ever before? Join the session to learn how to use AI assistance to diagnose and troubleshoot incidences and improve the mean time to detect (MTTD) and mean time to repair (MTTR). Charles Schwab partnered with Google Cloud on exploring the capabilities of Gemini Cloud Assist. And in this session, they’ll share their firsthand experiences testing Gemini Cloud Assist to enhance the reliability of their login application that handles millions of logins daily. Get practical AI skills and tips that you can put into your job right away.

Introduce how easy it can be to build a fully function Flutter app with Firebase Backend. It's fast, easy, and fully function with Front-end UI, and backend task (using Cloud Function), database (Firestore), storage (Cloud Storage), and more. Additional tips on Vertex AI and Gemini in both Flutter and Cloud Function will be added if time allows.