Join this session to learn best practices for optimizing your data and analytics costs. Discover new BigQuery capabilities that simplify workload management and provide greater cost controls and adherence to best practices. BigQuery customers Just Eat Takeaway and Trendyol will share their BigQuery migration journeys, scaling strategies, and how they used workload management and optimization tools to improve their return on investment (ROI).

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!

In this session, you’ll learn how to build an AI agent using MongoDB Atlas on Google Cloud in just 15 minutes. We’ll cover how to embed and store your data along with vectors in a single database; build a vector search index and run search queries; and implement an AI agent.

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.

Celebrate the journey at The Startup Founder's Toast & Ice Cream Social. Join us for an inspiring closing session at Next 25, where we'll share stories, deepen connections, and toast to the innovation, resilience, and bold ideas of visionary founders.

As AI adoption accelerates, many enterprises still face challenges building production-grade AI systems for high-value, knowledge-intensive use cases. RAG 2.0 is Contextual AI’s unique approach for solving mission-critical AI use cases, where accuracy requirements are high and there is a low tolerance for error. 

In this talk, Douwe Kiela—CEO of Contextual AI and co-inventor of RAG—will share lessons learned from deploying enterprise AI systems at scale. He will shed light on how RAG 2.0 differs from classic RAG, the common pitfalls and limitations while moving into production, and why AI practitioners would benefit from focusing less on individual model components and more on the systems-level perspective. You will also learn how Google Cloud’s flexible, reliable, and performant AI infrastructure enabled Contextual AI to build and operate their end-to-end platform.

Build intelligent search with Vertex AI Embeddings. This hands-on lab explores text and multimodal embeddings (images & video), showing you how to transform data into numerical representations for enhanced search. Learn to create a simple e-commerce search system that finds products based on text, images, and videos.

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!

Unlock the power of generative AI with retrieval augmented generation (RAG) on Google Cloud. In this session, we’ll navigate key architectural decisions to deploy and run RAG apps: from model and app hosting to data ingestion and vector store choice. We’ll cover reference architecture options – from an easy-to-deploy approach with Vertex AI RAG Engine, to a fully managed solution on Vertex AI, to a flexible DIY topology with Google Kubernetes Engine and open source tools – and compare trade-offs between operational simplicity and granular control.

This session explores the evolution of data management on Kubernetes for AI and machine learning (ML) workloads and modern databases, including Google’s leadership in this space. We’ll discuss key challenges and solutions, including persistent storage with solutions like checkpointing and Cloud Storage FUSE, and accelerating data access with caching. Customers Qdrant and Codeway will share how they’ve successfully leveraged these technologies to improve their AI, ML, and database performance on Google Kubernetes Engine (GKE).

The rise of AI-powered code generation tools presents a compelling alternative to traditional UI prototyping frameworks. This talk explores the question: Is it time to ditch the framework overhead and embrace core web technologies (such as HTML, CSS, JavaScript) for faster, more flexible prototyping? We’ll examine the trade-offs between structured frameworks and the granular control offered by a “bare metal” approach, augmented by AI assistance. Learn when leveraging AI with core tech becomes the smarter choice, enabling rapid iteration and bespoke UI designs, and when frameworks still reign supreme.

Did you know that GitHub Copilot lets you use Google Gemini as an AI programming assistant? Learn tips and tricks of prompting, shaping the context space, injecting third-party knowledge sources, and other ways that GitHub developers maximize their (and their team's) use of Gemini in VS Code and other IDEs.

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.

Running AI workloads on Google Kubernetes Engine (GKE) presents unique challenges, especially for securing the right hardware. Whether you’re dealing with unpredictable demand and varying job durations or simply looking to control costs, this session will equip you with the knowledge and tools to make informed decisions about your GKE AI infrastructure. We’ll explore recent advancements in Dynamic Workload Scheduler, custom compute classes, and Kueue, demonstrating how these technologies can help you effectively access and manage diverse hardware resources.

Explore the latest advancements in the open source software (OSS) world of in-memory data management and the launch of Memorystore for Valkey. Discover the exciting new features and enhancements in Valkey 8.0, including a preview of upcoming open source innovations on the roadmap. Join us for a deep dive with a customer who will share their real-world experience using Valkey within their architecture. Learn how they leverage the power of in-memory data to achieve exceptional performance and scalability.

Discover how Snap and Google Cloud are redefining AI-powered engagement through cross-team collaboration with Google. This session will teach you how Snapchat leverages Google to enable their growth and platform advancement.  Gain insights into Snap’s holistic journey, the impact of a tailored Google approach and engagement model, and strategies for startups to integrate Google’s solutions to enable the growth of your platform.

This hands-on lab introduces Gemini 2.0 Flash, the powerful new multimodal AI model from Google DeepMind, available through the Gemini API in Vertex AI. You'll explore its significantly improved speed, performance, and quality while learning to leverage its capabilities for tasks like text and code generation, multimodal data processing, and function calling. The lab also covers advanced features such as asynchronous methods, system instructions, controlled generation, safety settings, grounding with Google Search, and token counting.

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!

Hear how the revolutionary strategies and cutting-edge technologies are transforming organizations to navigate an unpredictable cybersecurity landscape. Discover how emerging trends and innovative solutions are shaping the way we protect our digital assets. Learn more about the latest advancements in borderless IT, Zero Trust, multi-cloud environments, and AI-driven security. It’s an engaging and insightful journey into the latest in cybersecurity.

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.

In today's digital landscape, organizations are sitting on untapped potential within their cloud environments. While many enterprises have made the initial move to Google Cloud, true value creation comes from modernizing applications and operations to fully leverage cloud-native capabilities. The journey typically unfolds across multiple phases and each phase can compound the benefits. But don't let the complexity of modernization hold you back.

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.

Abstract - AI is revolutionizing the underwriting process in the insurance industry. This session will explore how AI-driven models can streamline risk assessment, enhance decision-making, and improve customer experiences. We'll discuss the benefits of AI in underwriting, along with the challenges and ethical considerations of implementation. Attendees will gain insights into the latest AI tools and best practices for integrating AI into their underwriting workflows, driving efficiency and accuracy in risk management.

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.

What if building an AI agent that thinks, reasons, and acts autonomously took less time than your coffee break? With Vertex AI, it’s not just possible. It’s easy. Join DoiT to see how to build, deploy, and scale a production-ready AI agent in 10 minutes using Google’s top services: Gemini 2 for language understanding, the RAG Engine for fetching information, and the Agent Engine for orchestration. To top it off, watch a live demo take an agent from concept to production-ready in real time.

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.

This session dives into building a modern data platform on Google Cloud with AI-powered data management. Explore how to leverage data mesh architectures to break down data silos and enable efficient data sharing. Learn how data contracts improve reliability, and discover how real-time ingestion empowers immediate insights. We'll also examine the role of data agents in automating data discovery, preparation, and delivery for optimized AI workflows.

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.

Join Aritzia, Anomalo, and Google Cloud to learn how Aritzia automates data quality across 500+ sources in BigQuery. Discover how integrating Anomalo with Google Cloud helps proactively detect anomalies, maintain data integrity, and build trust in analytics. Explore how automation reduces time spent troubleshooting and increases time spent creating business value through reliable, AI-enhanced analytics.

Dive into end-to-end Machine Learning Operations (MLOps) with Vertex AI. Discover how to integrate data, models, and workflows to build scalable, reliable ML pipelines. Learn how Vertex AI automates key ML lifecycle stages like training, hyperparameter tuning, deployment, and monitoring. Whether you're starting out or optimizing workflows, this session covers best practices and real-world use cases to transform your approach to AI development. Perfect for data scientists and ML engineers!

In an era where Agentic AI dominates headlines, business leaders need clarity on its transformative potential beyond the hype. This session cuts through the buzz to showcase how enterprises are leveraging AI agents to revolutionize operations, from customer service to IT operations. Through real-world examples and proven frameworks, learn how to identify immediate opportunities, implement strategic solutions, and build a roadmap for long-term success. Leave with actionable insights to transform your organization from AI-aware to AI-driven.

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.

Looker is evolving! Join us for a deep dive into the reimagined Looker experience, where data exploration, analysis, and reporting are more intuitive, collaborative, and powerful than ever before. In this session, we’ll explore how Studio in Looker combines the flexibility of Looker Studio visualizations and reporting with the governance and trustworthiness of the Looker semantic layer.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Discover the cutting edge of foundation model development with JAX on Google Cloud. This session will showcase the latest advancements in the JAX ecosystem, including optimized performance on TPUs and GPUs. Explore new, high-performance models powered by MaxText and MaxDiffusion, delve into enhanced JAX libraries and Stable Stack packages, and learn about advanced diagnostics tools. Gain insights into how leading customers and partners are leveraging JAX on Google Cloud to build and deploy next-generation foundation models at scale.