Cloud environments can have hundreds or thousands of potential security issues. But which ones create the most risk? Security Command Center uses powerful virtual red team technology and a new security graph to continuously analyze your cloud resource configurations, software vulnerabilities, and identity and access policies – running at machine scale – to pinpoint the issues that could put your cloud workloads at risk.

This session shows how engineers can use Gemini Cloud Assist and Gemini Code Assist to speed up the software development life cycle (SDLC) and improve service quality. You’ll learn how to shorten release cycles; improve delivery quality with best practices and generated code, including tests and infrastructure as code (IaC); and gain end-to-end visibility into service setup, consumption, cost, and observability. In a live demo, we’ll showcase the integrated flow and highlight code generation with GitLab and Jira integration. And we’ll show how Gemini Cloud Assist provides deeper service-quality insights.

Session will cover Google Cloud solution to transform Pharma Tech transfer function. Session would cover how Agentspace, Vertex AI and Notebook LM can help Pharma Industry solve billion dollars problem. Google Cloud’s solution focuses on Improved Knowledge Management & search and enhanced collaboration and communication.

This Session is hosted by a Google Cloud Next Sponsor.
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Maximize your Gen AI inference performance on GKE. This session dives into the latest Kubernetes and GKE advancements, revealing how to achieve significant cost savings, reduced latency, and increased throughput. Discover new inference features on GKE for optimizing load balancing, scaling, accelerator selection, and overall usability. Plus, hear directly from Snap Inc. about their journey re-architecting their inference platform for the demands of Gen AI.

This session provides an in-depth look at the Google infrastructure that powers our most demanding AI workloads. We’ll explore the journey from custom silicon, high-bandwidth networking and storage to the software frameworks that enable efficient, large-scale training and inference with industry-leading goodput and uptime across the largest GPUs and TPU clusters. Learn how Google’s unique approach to system design and deployment enables customers to effortlessly achieve Google-level performance and scale for their own applications.

Get the most out of your Google Cloud budget. This session covers cost-optimization strategies for Compute Engine and beyond, including Cloud Run, Vertex AI, and Autopilot in Google Kubernetes Engine. Learn how to effectively manage your capacity reservations and leverage consumption models like Spot VMs, Dynamic Workload Scheduler, and committed use discounts (CUDs) to achieve the optimum levels of capacity availability for your workloads while optimizing your cost.

Join Google Cloud and Quantiphi for a workshop on how to build and deploy powerful conversational AI agents using the Customer Engagement Suite with Google AI. Learn best practices and leave with actionable strategies to improve your customer experience.

This session demonstrates how to integrate Gemini Code Assist into your development workflow to boost productivity and code quality. Learn specific techniques for using Gemini Code Assist and actionable strategies to incorporate it into your daily practice.

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.

The wealth gap remains a persistent challenge, but generative AI offers new tools to address this complex issue. In this fireside chat, Kevin Cohee, CEO of OneUnited Bank, will share his vision for leveraging GenAI to create economic opportunity for underserved communities. Learn how OneUnited Bank's partnership with Google Cloud is driving personalized financial education and wealth management solutions, paving the way for a more equitable future.

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.

Join us for an exciting session where experts from Salesforce and Google will discuss their innovative partnership aimed at transforming customer engagement. This collaboration focuses on integrating Salesforce Service Cloud with the Google Customer Engagement Suite to help organizations solve problems faster, improve customer satisfaction, and drive revenue with AI. Discover how Service Cloud, leveraging Google's technology, is building AI-powered contact centers to drive customer success by combining the strengths of humans and agents.

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.

Organizations with strict data residency requirements often struggle to leverage AI and the latest in cloud innovations on-premises. Learn how to architect gen AI optimized applications for success using LLMs, cloud infrastructure, and data on-premises without compromising on data sovereignty, security, or latency in this technical deep dive session.

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.

Simplify blockchain development with generative AI on Google Cloud. In this interactive session, you’ll learn how Gemini AI helps generate queries for BigQuery blockchain datasets and analyzes real-time blockchain data. See how Blockscope is using Gemini to conduct forensic analysis of blockchain data. Live demos will show you how to supercharge your Web3 projects, whether you're a blockchain veteran or just starting out.

Get equipped with the knowledge and resources to effectively position Google Cloud Security offerings within the market and build a thriving service-oriented business. Learn how to leverage Google Cloud's cutting-edge security solutions that seamlessly integrate with Google Cloud Platform (GCP) and Google Cloud Workspace (GWS) to differentiate your offerings and win in the market. Walk away with a clear understanding of the latest trends in security, strategies for building a thriving pratice.

Don't let Gen AI pitfalls derail your enterprise's success. We explore common challenges that hinder implementation, including prioritization paralysis, the seductive "proof-of-concept" trap, managing unpredictable outputs and model hallucinations, and keeping pace with rapid innovation. We highlight strategies to mitigate these risks, emphasizing the crucial role of your unique data in achieving competitive advantage. Increase your chances of achieving meaningful gen AI success by learning how to navigate these obstacles.

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 how Newsweek utilized Google Cloud to enhance its digital experience. Discover how their small IT team implemented Vertex AI Enterprise for search and translation across 7 languages, enabling improved content discovery and a personalized user experience. This session will showcase how your organization can leverage AI and cloud technologies to drive user engagement, increase revenue, and reach a global audience.

Good customer experiences are a crucial factor in business growth and efficiency. Learn how to deliver exceptional customer outcomes with Google's Customer Engagement Suite (CES). Powered by Gemini, CES combines advanced conversational AI with multimodal, omnichannel capabilities to enable faster, more personalized digital experiences. This session explores CES value for customers and partners, go-to-market strategies, and real-world success stories.

This session showcases how Gemini Code Assist revolutionizes end-to-end Java application development. Join us to learn how to accelerate each development stage – from backend to frontend and testing. Discover how to leverage Gemini code generation, completion, and debugging features. Explore how to enhance productivity and build robust, high-quality applications faster. And take away practical methods and techniques for integrating Gemini Code Assist into your workflow.

Code assist tools are transforming software development, enhancing productivity with intelligent suggestions and automation. Yet they also pose challenges in ensuring code security, managing observability, and addressing risks from automation. Join experts from Google Cloud, Datadog, GitLab, Harness, and Snyk in a dynamic panel as they explore the potential of code assist tools and share strategies to mitigate risks, safeguard workflows, and maximize the impact of these tools in today’s fast-paced development landscape.

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.

The next generation of intelligent business applications is here and powered by generative AI. In this session, you will learn about Spanner's latest graph capabilities and how GraphRAG can help you deliver richer contextual generative AI applications. Discover how to leverage a consolidated data platform to create smarter, more intuitive applications and drive business innovation.