Join the CxOs of Cresta, Glean, and Weights & Biases for a deep dive into the best practices for deploying production-ready AI applications across your enterprise. The panelists will review proven strategies for overcoming common implementation challenges and how to manage your AI deployments at scale while maximizing return on investment (ROI). They’ll also offer their predictions for the future, exploring how agents will unlock new possibilities for innovation and growth across industries.

Join Will Grannis (VP and CTO of Google Cloud) and Lukas Biewald (Co-Founder and CEO of Weights and Biases) in a technical discussion about the trends they are seeing in successful generative AI implementations.

How can you get beyond experimentation to drive real user and business impact? How can you break down common technical barriers to accelerate development, make teams more efficient, and disrupt industries? Will and Lukas share practical tips that every technical leader should know based on the latest gen AI advances.

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.

Ready to take your MySQL applications to the next level? Join us as we explore how leading enterprises across diverse industries are leveraging Cloud SQL for MySQL to handle their most demanding workloads and deep-dive some exciting innovations with vector search in MySQL. In this session, we'll dive deep into advanced features of Cloud SQL Enterprise Plus, including improved performance and availability, plus learn practical tips and tricks to tune your MySQL database for maximum performance.

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.

Evaluating, orchestrating, and monitoring large language models (LLMs) requires a new developer toolkit to more confidently build LLM-powered applications. Join experts from Weights & Biases, Arize AI, Securiti AI, and LlamaIndex to discuss tools, methods, and best practices to take AI applications from prototype to production.

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.

Exploring agents with frameworks like Langchain and vector databases; learn how to build apps that can perform tasks autonomously.

Learn how to tune models on your own treasure trove of data.

Image generators like Midjourney and Stable Diffusion have gotten stronger and stronger in record time. Learn to leverage them for max effect now.

Learn about fine tuning, prompt tuning, guardrails, and middleware to make LLMs more consistent and reliable.

Find out about the latest attack vectors and how LLMs and generative AI present security challenges for teams and how you can mitigate those problems.

Building intelligent AI agents is no simple task. With Microsoft Foundry Agent Service, you can rapidly create and deploy robust agents with the security, scalability, and integrations of Azure. In this walkthrough, we’ll build an agent that combines live data, reasoning, and dynamic tool usage. Using Azure Functions for real APIs and W&B Weave for detailed tracking, you’ll learn setup, tool registration, data endpoints, and Python-based interaction.