We built a zero-footprint SQL testing framework using mock data and the full power of the pytest ecosystem to catch syntactic and semantic issues before they reach production. More than just a tool, it helped shift our team’s mindset by integrating into CI/CD, encouraging contract-driven development, and promoting testable SQL. In this session, we’ll share our journey, key lessons learned, and how we open-sourced the framework to make it available for everyone.

In this session, we’ll explore Google’s latest developments in Google Kubernetes Engine (GKE) that enable unprecedented scale and performance for AI workloads. We’ll dive into how Anthropic leverages these capabilities to manage mega-scale Kubernetes clusters, orchestrate diverse workloads, and achieve breakthrough efficiency optimizations.

Join us as we explore the intersection of computer use capabilities and the broader challenge of building effective AI agents. We'll examine how these developments map to the core requirements of AI agents: the ability to plan through strong reasoning and contextual understanding, act via direct computer interaction and tool use, and reflect through learning from experience. We'll share insights from recent implementations, and explore how emerging capabilities in areas like computer use are shaping the development of more capable AI systems.

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Join this session for a discussion on how Replit is using Claude on Google Cloud's Vertex AI to transform software development. Learn how Replit enables anyone to build and deploy production-ready applications from any device, what made Claude the ideal AI partner for their mission, and how this collaboration is empowering the next billion software creators globally.

This Session is hosted by a Google Cloud Next Sponsor.
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Join Matt Bell, VP of Product Research at Anthropic, to discuss how startups can thoughtfully leverage foundation models like Claude on Vertex AI. Learn practical strategies for identifying high-impact AI use cases, avoiding common pitfalls, and building responsible AI-powered products. Explore insights on determining when and how to integrate foundation models, balancing immediate gains with long-term innovation, and navigating the rapidly evolving AI landscape as a startup founder or employee.

This session will cover Claude’s advanced reasoning capabilities, prompt engineering techniques, and empirical evaluations. We’ll also delve into best practices for prompt engineering, and how to optimize agents to advance Retrieval-Augmented Generation (RAG) within your Google Cloud environment. Whether you're an AI practitioner or an enterprise architect, this session will equip you with the knowledge to harness Claude’s full potential for enhanced AI workflows on Google Cloud.

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 this session, discover how you can use Anthropic's Claude models on Vertex AI to create innovative solutions. This session offers insights into the AI landscape, its impact on software development, and practical guidance on integrating AI technologies into your workflows. Learn how you can harness the power of AI to stay at the forefront of your industry, whether you’re optimizing existing applications or developing new AI-driven products. We will touch on applications for coding, search, and customer support in particular.

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 leaders from Anthropic and Google Cloud for a fireside chat to explore the essential elements for enterprise AI success in production. We’ll explore real-world production use cases that are utilizing the powerful combination of Anthropic’s Claude models on Vertex AI for fast development and scalable deployments. And we’ll cover topics such as platform flexibility, enterprise readiness, governance, and agentic workflows. Leave with actionable insights to guide your AI strategy and navigate the changing world of intelligent agents.

This session brings together leading product experts from Google Cloud, Anthropic, Oracle, Databricks, and SAP to explore the five essential strategies for enterprises to successfully leverage AI and data. Attendees will gain valuable insights from real-world AI implementations, learn from the successes and challenges faced by global customers, and receive practical guidance on how to translate these strategies into actionable plans for their own AI journeys.

Explore Anthropic’s Claude 3 models on Vertex AI Model Garden, and learn how enterprise customers are leveraging them for practical applications. Attendees will learn about the capabilities of Claude 3 models, implementation and integration strategies, and prompt engineering techniques for complex business use cases.

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Google Kubernetes Engine (GKE) provides cost efficiency and high performance to run AI inference on Google tensor processing units (TPUs) and NVIDIA graphics processing units. Join us to learn how Anthropic runs its inference workload for Claude on GKE, and how Anthropic achieved better price-perf on TPU v5e on GKE. We’ll also learn how GKE advanced management capabilities simplify Day-2 maintenance, and how Google Cloud Customer Support makes the entire experience a blast.

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Join this fireside session with Dario Amodei (CEO and Co-Founder, Anthropic) and Elad Gil (Entrepreneur, Investor and Startup Helper) as they discuss real-world applications of gen AI and the impact on cost, productivity, and revenue.

Hear their perspective on challenges like hallucination rates, jailbreaks, model deception, and high latency - and opportunities for large language models (LLMs) to drive transformation. Get their point of view on how we can collectively shape the future trajectory of AI through policy efforts, groundbreaking societal impact research, and collaborative initiatives.

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If you’re a data engineer, MLOps engineer or procurement officer planning to purchase third-party AI models, you won’t want to miss this. Learn how you can speed assessment, facilitate procurement, and simplify governance of AI models (including generative AI) on Google Cloud Marketplace. Explore how to easily procure and deploy third-party AI models and frameworks to both Vertex AI and Google Kubernetes Engine. Finally, you’ll learn from Anthropic, who dive into how their solution deploys via Marketplace to Vertex AI.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.