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2020-Q1 2026-Q1

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Traditional infrastructure-centric monitoring provides a limited view of your applications. This session explores the benefits of shifting to an application-centric approach, enabling you to proactively identify performance bottlenecks, optimize resource utilization, and reduce costs. Learn how Google Cloud’s out-of-band (OOB) application-centric observability tools like App Hub, distributed tracing, application-specific signals such as logs and metrics, and service level objective (SLO) monitoring, can help you achieve optimal performance and cost efficiency for your cloud-first applications.

Scams and phishing attacks are skyrocketing all around the world, and safeguarding your users and brand reputation requires proactive and intelligent solutions. In this session, we’ll delve into Google Cloud’s Web Risk, a powerful service that leverages AI and machine learning (ML) to protect users against unsafe websites. Learn how Web Risk scans over 10 billion URLs daily, identifying phishing sites, malware downloads, and other threats with over 99.99% accuracy.

Embark on a journey to enhance your Oracle applications by migrating and modernizing them on Google Cloud. This session delves into real-world customer success stories and showcases the latest advancements. Discover best practices for seamless migrations and explore how Google Cloud optimizes performance and scalability for your Oracle applications. Uncover valuable insights from your Oracle databases and app-powered integrations with Google advanced AI, analytics, and monitoring tools.

Unlock the full potential of your mission-critical workloads on Google Cloud. Discover how our platform is purpose-built for Microsoft, Oracle, OpenShift, and more, enabling you to optimize total cost of ownership (TCO) and accelerate modernization. Learn firsthand from customers who have successfully transformed their businesses by bringing their workloads to Google Cloud.

Discover how to integrate AI and Gen AI capabilities to unblock data quality issues, streamline the deployment processes of a data platform, and empower data teams to accelerate the development of customized data products. By automating data product and pipeline creation, infrastructure deployment, data quality, and PII controls, you can reduce engineering efforts by 30-40% and develop products three times faster. Learn how this approach has helped clients create data products faster and more cost-efficiently across various industries.

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.

Explore the future of data management with BigQuery multimodal tables. Discover how to integrate structured and unstructured data (such as text, images, and video) into a single table with full data manipulation language (DML) support. This session demonstrates how unified tables unlock the potential of unstructured data through easy extraction and merging, simplify Vertex AI integration for downstream workflows, and enable unified data discovery with search across all data.

Cloud Run is an ideal platform for hosting AI applications – for example, you can use Cloud Run with AI frameworks like LangChain or Firebase Genkit to orchestrate calls to AI models on Vertex AI, vector databases, and other APIs. In this session, we’ll dive deep into building AI agents on Cloud Run to solve complex tasks and explore several techniques, including tool calling, multi-agent systems, memory state management, and code execution. We’ll showcase interactive examples using popular frameworks.

Unlock the full potential of Compute Engine for all your applications. This session delivers actionable strategies and best practices to optimize cost, reliability, and management for cloud-first, AI, machine learning, high performance computing, enterprise, and stateful workloads. We’ll share recently released features within Compute Engine to maximize return on investment for each specific application type.

session
by Arnaud Leymet (Bouygues Telecom) , Julia Potanina (Google Cloud) , Sara Picoud (Bouygues Telecom) , Kanwarpreet Sethi (Google Cloud)

Harness the power of AI agents with rich conversational experiences. This session will cover the practical applications of AI agents and how your teams can use them in a low- to no-code development environment. Learn to build, test, and deploy AI-powered conversational agents that seamlessly integrate into your business workflows. Discover techniques for in-depth performance analysis and continuous optimization of your AI agents.

This talk explores a comprehensive key management strategy designed to safeguard your critical assets, now and in the future. We’ll focus on the foundation of modern key management, evolving cloud hardware security offerings, sovereign key management, and cloud key management. By combining the strengths of advanced hardware security module (HSM) technology, sovereign key management principles, and the flexibility of cloud environments, organizations can build a robust and future-proof security posture.

Mandiant has observed that organizations continue to lack visibility into cloud threats and fail to enable the logs required for effective incident detection and response. This session provides guidance for building a cloud logging and detection strategy, based on lessons learned from Mandiant’s incident response engagements. You’ll learn about incident case studies that show how cloud logging gaps can lead to undetected attacker activity and ineffective investigations.

session
by Bing Wan Tang (Government Technology Agency of Singapore) , Luis Uguina (Macquarie Banking and Financial Services Group) , Karan Bajwa (Google Cloud) , Jason Liao (Oppo) , Luis Carlos Cruz Huertas (DBS Bank)

This session explores real-world success stories from world-leading companies in financial services, retail, healthcare, gaming sectors, and more. The forum is ideal for business leaders, technical executives, product managers, and developers to see how gen AI is being used for automation, personalization, knowledge extraction, differentiated experiences, operational efficiency, and user protection within their own organizations.

Build resilient, scalable applications that thrive in the face of increasing demands. Cloud SQL offers new features designed to optimize performance, availability, and cost efficiency for MySQL and PostgreSQL databases, managed replica pools, and connection pooling. Learn how to make downtime a thing of the past, implement advanced disaster recovery strategies, and maximize your application’s performance. Join our demo-packed session for a deep dive into these new Cloud SQL capabilities and best practices.

To achieve your business goals while staying within the budget, it’s crucial to have complete visibility into your cloud spending, down to the specific applications and workloads. You need to know exactly where your money is going and how efficiently resources are being used, as well as opportunities to optimize spending. In this session, we’ll show you how to gain such knowledge and insights about your applications. We’ll explore how to use product dashboards and Gemini Cloud Assist to identify optimization opportunities. Leave with actionable strategies to maximize your cloud return on investment (ROI) and achieve your business goals.

session
by Kate Dobler (State of Arizona Healthcare Cost Containment System) , Stephanie Pugliese (State of Colorado) , Tony Orlando (Google) , Phil Levy (Wayne State University)

Cloud, AI, and data analytics technologies have the potential to revolutionize healthcare - streamlining eligibility determination, automating administrative processes, and providing greater access to critical services. By tailoring interventions, resources, and communication strategies to individual needs, technology can enable more effective, engaging, and personalized care for all.

Madhive built their ad analytics and bidding infrastructure using databases and batch pipelines. When the pipeline lag got too long to bid effectively, they rebuilt from scratch with Google Cloud’s Managed Service for Apache Kafka. Join this session to learn about Madhive’s journey and dive deep into how the service works, how it can help you build streaming systems quickly and securely, and what migration looks like. This session is relevant for Kafka administrators and architects building event-sourcing platforms or event-driven systems.

Unlocking insights often requires data collaboration between different organizations, which raises important questions about privacy and data security. Learn how Google and one of our customers use confidential computing solutions to apply new approaches to data security, isolation, and transparency – all through the use of Confidential Computing and Trusted Execution Environments (TEEs). TEEs can transform privacy obligations into real-world, technical solutions that enable businesses of all sizes to thrive while respecting people’s privacy.

How can organizations create scalable, engaging communications that capture attention and break through all of the noise? In the session, explore how the newest Google Workspace app is empowering teams of all sizes to build dynamic video content with Gemini to connect with coworkers and partners in new ways and break through the noise. Explore the latest customer insights, experience Vids in action, and discover what’s next.

Visionaries from Virgin Media O2, TCS and Google Cloud share insights on their data modernization journey. Explore how a cloud-first data strategy enabled Virgin Media O2 to reimagine their business by enhancing agility, speed and scalability, automating operations, optimizing costs, and driving AI-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.