Unlock the power of AI-assisted coding in BigQuery with this hands-on lab. Learn how to generate SQL queries using natural language prompts, utilize BigQuery's code explanation and transformation features, and collaborate with Gemini to review, debug, and optimize your SQL code. Whether you're looking to streamline query development or troubleshoot issues, this session will enhance your ability to write and refine code efficiently using Gemini's intelligent capabilities in BigQuery.

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!

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!

Be inspired by a panel of extraordinary women shaping the future of AI. Hear their stories, gain valuable insights, and connect with fellow attendees passionate about the field. This session offers a unique opportunity to network with leaders and build connections within the AI community.

Transform your Google Workspace experience with the power of Gemini. This fast-paced session dives into practical integrations using Apps Script, Vertex AI, Python, and Node.js to automate workflows and unlock new levels of efficiency. Discover how to leverage Gemini for intelligent task management, data-driven insights, and building custom AI solutions. Leave with actionable strategies and code snippets to immediately boost your productivity.

Accelerate Android development in your company with the new Gemini in Android Studio Standard and Enterprise tiers. These new tiers bring together the best of Google AI coding assistance, AI capabilities for Android development, and the enterprise-readiness of Gemini Code Assist. In this session, you’ll learn about the benefits of Gemini in Android Studio and how to use the wide array of features – such as compose preview generation, transforms, chat, and more – to take your company’s Android development to the next level.

Learn how the legendary retail brand accelerated AI adoption by building a GCP Data Platform and conducting enterprise-wide data transformation program. We’ll demonstrate how Big Query and other GCP services liberated the data from legacy environments and became the foundation for AI Factory initiative. We will highlight the challenges and solutions for data quality control, enterprise-wide stakeholder alignment, and business users engagement on the road to data value realization.

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 examines the vital role of collaboration in healthcare technology advancement and the practical deployment of AI agents. We'll showcase how partnerships between tech innovators and healthcare providers are solving critical clinical challenges. Plus, learn how enhanced search and summarization tools are streamlining workflows, boosting innovation, and improving patient care.

Go under the hood to understand how the database features of Gemini Code Assist are giving application developers exciting new superpowers. Learn how Gemini powers the industry’s leading automated database querying, smarter application code wrangling in the integrated development environment (IDE), and entirely new agentic AI application features powered by enterprise data. Learn from Google Cloud engineers, and industry experts about how these features are having an impact today. And discover the secret sauce that makes these superpowers possible.

Granting users the minimum level of access and permissions needed to perform their jobs can reduce the attack surface area of your cloud environment. Learn how Security Command Center integrates cloud infrastructure entitlement management (CIEM) to help you understand which users have access to which cloud resources, get machine learning (ML)-generated recommendations to reduce unnecessary permissions, and accelerate responses to identity-driven vulnerabilities.

Imagine never writing another detection rule, manually creating postures, or remediating common findings. These are the toilsome workflows security teams deal with today that AI promises to offload, thanks to agentic capabilities. When infused through existing tooling, agentic AI will fundamentally change how security teams work, freeing teams to focus on complex issues while reducing time to detect and respond. Join this session to learn how agentic AI is transforming the user experience and driving security outcomes for modern enterprises.

Boost your productivity with Gemini Code Assist tools. This session demonstrates how to seamlessly integrate your daily tools – source code management, task management, Google Drive, and more – directly into your integrated development environment with Gemini Code Assist chat. Discover the latest Gemini Code Assist features and capabilities, learn best practices for integrating AI into your software development workflow, gain insights into modernizing legacy codebases, and learn how to improve code quality and accelerate development cycles.

The telecom industry has always been critical to advancing how we communicate, work, and play, whether through creation of our mobile world or streaming through high bandwidth connectivity. In this session we will explore how communication service providers from around the globe are leveraging AI agents across their workforce, customer experience, field operations, network operations, and more.

Build transformative solutions by leveraging Google Cloud's data management and AI. Solutions like BigQuery and AI-first databases enable personalized recommendations and predictive analytics, delivering exceptional customer value. Partners will share best practices for building a successful data management organization with Google Cloud and how this has led to unlocking innovation.

Join Matt Bell, VP of Product Research at Anthropic, to discuss how startups can thoughtfully leverage foundation models like Claude on Vertex AI. Learn practical strategies for identifying high-impact AI use cases, avoiding common pitfalls, and building responsible AI-powered products. Explore insights on determining when and how to integrate foundation models, balancing immediate gains with long-term innovation, and navigating the rapidly evolving AI landscape as a startup founder or employee.

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.

Learn from industry leaders how they migrated their platforms to BigQuery for business transformation. They’ll share how they simplified the migration process, unified their data for better insights from analytics and AI, and accelerated AI adoption with BigQuery and Vertex AI. Discover how they achieved real-world results, such as driving business growth, reducing costs, and improving customer experiences.

NVIDIA GPUs accelerate batch ETL workloads at significant cost savings and performance. In this session, we will delve into optimizing Apache Spark on GCP Dataproc using the G2 accelerator-optimized series with L4 GPUs via RAPIDS Accelerator For Apache Spark, showcasing up to 14x speedups and 80% cost reductions for Spark applications. We will demonstrate this acceleration through a reference AI architecture on financial transaction fraud detection, and go through performance measurements.

Unstructured data makes up the majority of all new data; a trend that's been growing exponentially since 2018. At these volumes, vector embeddings require indexes to be trained so that nearest neighbors can be efficiently approximated, avoiding the need for exhaustive lookups. However, training these indexes puts intense demand on vector databases to maintain a high ingest throughput. In this session, we will explain how the NVIDIA cuVS library is turbo charging vector database ingest with GPUs, providing speedups from 5-20x and improving data readiness.

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 deploy open source models efficiently? Join this session for a technical deep dive into best practices for deploying and optimizing models like Llama and Gemma on Vertex AI.