Generative AI and machine learning (ML) are transforming industries, but many smaller organizations believe these technologies are out of reach due to limited resources and specialized skills. In this session, we’ll demonstrate how BigQuery is changing the game, making gen AI and ML accessible to teams of all sizes. Learn how BigQuery – with its serverless architecture, built-in ML capabilities, and integration with Vertex AI – empowers smaller teams to unlock the power of AI, drive innovation, and gain a competitive edge.

The rise of AI demands an easier and more efficient approach to data management. Discover how small IT teams are transforming their data foundations with BigQuery to support AI-powered use cases across all data types – from structured data to unstructured data like images and text (multimodal). Learn from peers across industries and geographies why they migrated to BigQuery and how it helped them accelerate time to insights, reduce data management complexity, and unlock the full potential of AI.

Get the inside story of Yahoo’s data lake transformation. As a Hadoop pioneer, Yahoo’s move to Google Cloud is a significant shift in data strategy. Explore the business drivers behind this transformation, technical hurdles encountered, and strategic partnership with Google Cloud that enabled a seamless migration. We’ll uncover key lessons, best practices for data lake modernization, and how Yahoo is using BigQuery, Dataproc, Pub/Sub, and other services to drive business value, enhance operational efficiency, and fuel their AI initiatives.

Spoiler alert: you can’t! But, there are some new approaches to teaming, measurement tracking, and technology that modern data teams are applying, changing their reputation in the organization from a cost center to a strategic value-add. We’ll share how Hex customers are revolutionizing the data field, explore the evolving impact of AI on data, and provide honest, actionable insights for data leaders, practitioners, and executives.

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 your application logs with Google Cloud Logging. This hands-on lab provides hands-on experience using Cloud Logging to gain deep insights into your applications, particularly on Google Kubernetes Engine. Learn to build effective queries and proactively address potential issues.

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!

Is your outdated data infrastructure hindering your ability to leverage the full potential of AI and machine learning? This session explores how migrating to BigQuery can empower you to modernize your data infrastructure and unlock new opportunities for innovation with all of your data. Hear how Paypal and Intesa Sanpaolo transformed their data platform with BigQuery to get the most value from their data lakes and warehouses and the lessons they learned along the way. 

The modern data landscape is exploding with complexity. This session explores AI-first capabilities in BigQuery to simplify the discovery, preparation, and management of data. Learn about BigQuery Studio, BigQuery data canvas, and BigQuery data preparation for data science workloads. Discover how to connect and unify data from various sources for deeper insights and better business outcomes, with examples from Standard Industries, and how to prepare data for analytics and insights with AI-first data tools

Discover groundbreaking AI innovations in our breakout session featuring experts from Cognizant, Google, Northumbrian Water, and Stena AB. Learn how AI models are revolutionizing the approach to addressing business challenges and environmental concerns. Examples will cover solutions to detect water health using satellite imagery and AI agents transforming the shipping industry's contract decisions to reduce idle time. Join us for an insightful discussion on how these cutting-edge advancements in AI technology are providing a competitive edge.

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.

Bigtable has been a core piece of application infrastructure for Google and companies such as Snap, Spotify, and many other massive platforms for over 20 years. In this session, we’ll discuss the fundamental changes to Bigtable processing capabilities made available via SQL that will let you bring more data transformations directly into Bigtable – enabling extract, load, and transform (ELT) capabilities taking advantage of Bigtable’s flexible schema to achieve increased data freshness – and that will reduce the time and costs of running other data processing services to prepare data for your real-time application.

Learn how you can use BigQuery and Earth Engine together for a variety of weather and climate resilience use cases including risk assessment, response, and recovery. You'll receive a real world step-by-step walkthrough, highlighting new geospatial features and AI-driven datasets, that make it easier for any professional to unlock insights that can contribute to greater climate resiliency.

In today’s data-centric landscape, organizations across industries are inundated with vast amounts of information. However, many grapple with the challenge of deriving actionable insights to maintain a competitive advantage. This session delves into strategies for harnessing data through modernization and migration, drawing from real-world examples provided by industry leaders. Our panel will address the obstacles posed by legacy systems and data silos, and discuss how transitioning to modern data platforms can revolutionize your organization.

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 full potential of your data with the power of AI. This session explores how Google Cloud’s latest advancements in AI are transforming business intelligence, empowering you to gain deeper insights, make faster decisions, and drive innovation. We’ll dive into trusted insights with BigQuery and AI, the power of the Looker semantic layer, and how Google Cloud’s AI-powered business intelligence (BI) solutions can help you transform your data into actionable intelligence and drive business success.

Want to run AI workloads that are both performant and sustainable? Join L’Oreal and Google Cloud as they reveal how L’Oreal leverages Google Cloud’s powerful suite of tools to gain unprecedented insights into the cost, performance, and carbon footprint of their AI models. This session showcases how L’Oreal measures, reports, and reduces their environmental impact on Google Cloud, offering practical strategies and actionable takeaways for anyone looking to optimize their cloud efficiency and environmental responsibility.

This session dives into the world of on-demand Apache Spark on Google Cloud. We explore its native integration with BigQuery, its new capabilities and the benefits of using Spark for AI and machine learning (ML) workloads. We’ll discuss why Spark is a good choice for large-scale data processing, distributed training, and distributed inferencing. We’ll learn from Trivago about how they leveraged the Spark and BigQuery together to simplify their AI and ML workflows.

Data intelligence rapidly transforms businesses, enabling them to make more informed decisions, streamline operations, and gain a competitive edge. At Google Cloud Next '25, we are excited to present a thought-provoking session on the power of data intelligence in partnership with Databricks on Google Cloud and Digital Turbine. Our speakers from Databricks and Digital Turbine will share their insights on how organizations can leverage data to drive innovation and growth. Join us for this engaging discussion and gain valuable insights on how data intelligence can help your organization thrive in the digital age.

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.

Google Cloud and Rakuten Cloud are developing a joint solution empowered by AI to tame the stateful edge across several industries. Learn how our joint offering integrating Rakuten Cloud-Native Storage with GDC is transforming edge deployments where issues such as data sovereignty, network uptime, latency and compliance are paramount. We will also discuss a customer use case of integrating cloud-native storage with GDC Edge to meet the needs of mission-critical stateful applications across an organization with thousands of locations.

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 rapidly evolving digital landscape, modernizing mainframe systems is crucial for maintaining competitive advantage. This joint solution explores the transformative potential of migrating data warehouse extracts to Google Cloud Platform (GCP) and BigQuery. Utilizing the flexible framework built, organizations can achieve a flexible, integrated solution that accelerates time to market, ensures accurate and timely real-time data for reporting and advanced analytics, and provides self-service access. This digital transformation not only empowers stakeholders with enhanced capabilities but also significantly improves the overall customer experience.

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.

Leveraging real-time data in AI and machine learning (ML) can give you a competitive edge. This session explores how Shopify and Palo Alto Networks leverage real-time data and AI with BigQuery and Dataflow ML to transform customer experiences and drive innovation. Discover how these companies collect, process, and analyze real-time data to achieve significant business outcomes, and learn how to apply similar strategies in your organization.

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.

Business intelligence professionals and data practitioners, join us to share experiences and brainstorm solutions to your biggest data challenges. Whether you're tackling AI hallucinations, accelerating large queries, or defining data governance, this meetup provides a space for interactive discussion with peers and data experts. Bring your own topics to explore real-world scenarios and grow your network within our community.

Agencies are applying cutting-edge technology to safeguard communities and resources, bolster emergency management, and streamline disaster response efforts. Learn how AI, predictive capabilities, real-time data analysis, and a modernized IT infrastructure can be used to build a more resilient future.

Integrating data from Oracle ERP to Google BigQuery? Join this session and discover how to enable seamless data integration, creating a robust data and integration fabric on Google Cloud. This capability enhances data accessibility and analytics, empowering informed business decisions. We also developed an abstraction layer to streamline integrations, fostering synergy across third-party platforms, accelerating time-to-value, and supporting a scalable, data-driven enterprise.

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!

This session will cover how to optimize remote sensing data analysis using Ray, Kubeflow, and Google Cloud Platform (GCP). Learn how to leverage distributed computing, orchestration workflows, and xarray for efficient processing of geospatial data from Unmanned Aerial Systems (UAVs), LiDAR (Light Detection and Ranging), and Ground Penetrating Radar (GPR). Attendees will gain practical insights into building scalable, cloud-native pipelines that accelerate data processing and deliver faster, more actionable insights.

This hands-on lab guides you through importing real-world data from CSV files into a Cloud SQL database. Using a flight dataset from the US Bureau of Transport Statistics, you'll gain hands-on experience with data ingestion and basic analysis. You'll learn to create a Cloud SQL instance and database, effectively import your data, and build a foundational data model using SQL queries.

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!