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.

Unleash the power of AI-driven analytics with Gemini and BigQuery. Learn how to uncover trends, automate complex queries, and make smarter decisions. Explore real-world examples from industry leaders using AI to extract insights from unstructured data like text, images, and audio to streamline operations and unlock growth.

Often, cloud risks fly under the radar because organizations don’t know they have sensitive data lurking in their environment. This creates a treasure trove for attackers, particularly when it comes to high-value AI training data. In this talk, we’ll discuss how sensitive data discovery and content understanding can help reduce security and privacy risks, safeguard AI development and deployment, and drive business momentum – especially in analytics and AI.

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

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.

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.

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.

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.

How will you deliver store and factory floor analytics, shrink reduction, fast transactions, quality control, and staff empowerment? AI models, AI optimized cloud infrastructure, and edge hardware are unlocking new opportunities to build, deploy, and scale use cases that transform the way that customers experience your brand. Join the experts from Google Cloud as we explore the modern retail store and factory floor, engage with an interactive demo, and discuss the art of possible in a moderated panel.

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.

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.

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.

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.

Large AI, machine learning (ML), and analytics workloads can demand high-performance access to storage from thousands of nodes and to exabytes worth of data. Unblocking innovation requires having an efficient and sustainable storage infrastructure in place. In this session, you’ll learn about how customers can achieve this using Google Cloud Hyperdisk capabilities and offerings like Hyperdisk Storage Pools, Hyperdisk ML, Hyperdisk Throughput, and more. Learn from leading customers who have used Hyperdisk to achieve their business objectives.

Small teams often struggle to unlock the full potential of their data due to limited resources and a lack of specialized expertise. In this session, we’ll show you how BigQuery and Looker make advanced analytics accessible and easy for teams of any size. Learn how to seamlessly integrate, analyze, and visualize your data to drive data-driven decisions and achieve your business goals.

Modern analytics and AI workloads demand a unified storage layer for structured and unstructured data. Learn how Cloud Storage simplifies building data lakes based on Apache Iceberg. We’ll discuss storage best practices and new capabilities that enable high performance and cost efficiency. We’ll also guide you through real-world examples, including Iceberg data lakes with BigQuery or third-party solutions, data preparation for AI pipelines with Dataproc and Apache Spark, and how customers have built unified analytics and AI solutions on Cloud Storage.

Explore how infrastructure, data analytics, cybersecurity, and intelligence at the edge converge to support mission-critical operations on the frontlines. Hear from public sector agencies about how they’re applying technology to their mission to protect and defend our nation.

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.

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.

Learn how to leverage Gemini's long context for creating and interpreting data analytics queries using Agentic Retrieval Augmented Generation with NL2SQL techniques and reasoning.