This technical deep dive explores how small IT teams can leverage Google Kubernetes Engine (GKE) and AI Hypercomputer to build, refine, and optimize a cutting-edge, scalable, and secure container platform for AI workloads.

Ten years ago, Google Kubernetes Engine (GKE) was born! Since then, it has become the industry-leading managed Kubernetes platform, powering mission-critical workloads across all industries. But the innovations have just begun. Join this session to learn about the latest GKE features and upcoming innovations – such as next-generation autoscaling, lightning-fast node startup, and multi-cluster fleet management – that make GKE the best Kubernetes platform for the next generation of AI and modern workloads.

Google brings together the scalability, reliability and ease-of-use of Firestore with MongoDB compatibility. The session will showcase Firestore with MongoDB compatibility and its capabilities. In addition, Mayo Clinic will present their use of Firestore for multiple workloads including using Firestore’s GenAI capabilities for delivering personalized experiences in their applications. 

Automation enables engineering teams to reduce duplication of effort and build consistency around various processes, especially observability. Providing out-of-the-box solutions and using infrastructure as code are some of the ways to automate your systems so all of your teams can onboard and get all the right features. In this talk, we will discuss how Datadog and Project44 have created self-service platforms so their engineers can automatically obtain observability into their systems.

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.

Facing the challenges of scaling multimodal search for massive datasets? This session shows how leading retailers scaled their search infrastructure using Vertex AI Vector Search. Discover how the power of multimodal hybrid search of Vector Search 2.0 dramatically improves your search experience.

Transitioning from their existing threat intelligence providers to Google Threat Intelligence is a priority for many organizations, especially those leveraging VirusTotal and Mandiant offerings. Join Jonas Kelley, Google Security Sales Leader, as he moderates a conversation with Tarah Lewis, Google Security Architect, and Chris Morales, Netenrich CISO. Discover how to assess your readiness, overcome common migration challenges, and transition quickly and seamlessly to enhance your security posture with Google’s comprehensive threat intelligence.

Unlock the full potential of your data with Google's autonomous data and AI platform. This session explores how we're bringing the power of AI directly to your data, integrating multimodal data handling, an innovative AI Query Engine, and Gemini agents to enable seamless data integration, automated workflows, complex reasoning, and real-time insights. Join us to explore the latest advancements in BigQuery and Looker and build a data and AI strategy that drives your business forward.

Want to build large language models (LLMs) that are truly knowledgeable and reliable? This session explores real-world use cases of grounding with diverse data sources, such as data from Google Search, Google Maps, or even your own enterprise data. Discover how Vertex AI helps you build trust in your AI outputs.

Learn how Lloyds Banking Group dramatically optimized their costs across Google Cloud using FinOps hub. Discover new features in FinOps hub 2.0 that are supercharged by Gemini Cloud Assist. And learn how you, too, can increase your Google Cloud FinOps score.

IAM and cloud resource posture are at the core of your security infrastructure and fundamental to cloud adoption. Google Cloud's IAM and Org Policy are evolving, enabling frictionless experiences for admins, developers and security practitioners. Our innovative platform helps you implement robust and comprehensive security controls across the enterprise with AI-enabled features for agility in your operations. Join this demo-packed session to learn about the latest innovations in IAM, access risk, cloud governance, and Gemini-powered assistance.

Supercharge your Android apps with the power of generative AI. This session explores the Vertex AI integration with Firebase that empowers mobile developers to easily leverage Gemini and Imagen 3 for cutting-edge features like image generation. Learn production best practices, discover complementary Firebase solutions, and unlock new levels of creativity and user engagement in your apps.

Discover how machine learning (ML) engineers and app developers collaborate to build a viral AI app. This session takes you on a journey from a screenshot-to-calendar Python app running on a laptop to a globally scaled app. You’ll learn best practices for collaboration between ML engineers and app developers; how to build, refactor, and scale an AI app to millions of users with a modern architecture; and how to leverage the power of Gemini, Vertex AI, app hosting, and full-stack development. Find out how to build something greater than the sum of its parts!

The way we build software is fundamentally changing with AI-centric tools. In this session, learn how to build and ship full-stack AI apps faster with the newly launched Firebase Studio. Find out how your codebase becomes context for Gemini, enabling powerful agentic capabilities in your editor. Generate and modify code, execute commands – all with natural language prompts. And leave with strategies to ship better software, quicker.

Google's Data Cloud is a unified platform for the entire data lifecycle, from streaming with Managed Kafka, to ML feature creation in BigQuery, to global deployment via Bigtable. In this talk, we’ll give you a behind the scenes look at how Spotify's recommendation engine team uses Google's Data Cloud for their feature pipelines. Plus, we will demonstrate BigQuery AI Query Engine and how it streamlines feature development and testing. Finally, we'll explore new Bigtable capabilities that simplify application deployment and monitoring.

In today’s rapidly evolving business landscape, data is no longer just a back-office function – it’s the lifeblood of informed decision-making and competitive advantage. This session is designed to empower business decision-makers with the knowledge and strategies to become truly data-driven leaders in the age of disruption.

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 this session for a deep dive into how Firebase is empowering developers, with a focus on creating agentic experiences that amplify your capabilities and streamline your workflow. Learn about our latest innovations, upcoming features, and commitment to fostering a thriving developer community. Whether you’re a seasoned Firebase developer or just getting started, join us to gain valuable insights and inspiration for your next app.

A cyber threat profile should guide your proactive security strategy. It should point out the threats targeting you, the tools they’ll use against you, and the tactics they’ll use in an attack. Join Mandiant experts as they share how they conduct and develop cyber threat profiles. Designed for security leaders and practitioners, this session explains how to build a proactive strategy with the threat profile as the foundation.

Google Cloud’s Cross-Cloud Network delivers powerful, AI-powered network security to protect your cloud infrastructure from a wide variety of network threats. This session showcases the latest innovations, including advanced malware protection, domain name system [DNS) security, data loss prevention, network security posture controls, DDoS protection, web application protection, and a cloud-first mechanism to easily integrate third-party network security services.

Unlock the potential of AI with high-performance, scalable lakehouses using BigQuery and Apache Iceberg. This session details how BigQuery leverages Google's infrastructure to supercharge Iceberg, delivering peak performance and resilience. Discover BigQuery's unified read/write path for rapid queries, superior storage management beyond simple compaction, and robust, high-throughput streaming pipelines. Learn how Spotify utilizes BigQuery's lakehouse architecture for a unified data source, driving analytics and AI innovation.

This session explores how cloud-native security, powered by Google Cloud, enables organizations to streamline operations, reduce complexity, and achieve better security outcomes with a lean team. Join us for a customer success story, partner insights, and a lively panel discussion featuring industry experts on building a future-proof Security Operations Center (SOC) with limited resources.