Organizations are racing to deploy generative AI solutions built on large language models (LLMs), but struggle with management, security, and scalability. Apigee is here to help. Join us to discover how the latest Apigee updates enable you to manage and scale gen AI at the enterprise level. Learn from Google’s own experience and our work with leading customers to address the challenges of productionizing gen AI.

In today’s data-centric landscape, organizations across industries are inundated with vast amounts of information. However, many grapple with the challenge of deriving actionable insights to maintain a competitive advantage. This session delves into strategies for harnessing data through modernization and migration, drawing from real-world examples provided by industry leaders. Our panel will address the obstacles posed by legacy systems and data silos, and discuss how transitioning to modern data platforms can revolutionize your organization.

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.

As we stand on the cusp of the generative AI era, industries are gearing up to harness the transformative power of AI. This panel session delves into the critical preparatory measures required for organizations to effectively navigate the generative AI landscape, including:

-The need for adequate volume and quality of data. -Identifying the right set of tools and technologies. -Choosing the right use case based on business value, ethics, and compliance.

Learn from leaders in a range of industries about how they are preparing for the gen AI era and beyond.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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.

Learn about Wells Fargo’s journey to next-generation logging, with focus on the architecture that handles logging at scale for the third-largest U.S. Bank. We'll explore topics such as: architecture supporting infrastructure serving over 70 million customers; multicloud integration across on-premises, software as a service, and public cloud; programmatic and self-service migration of dashboards, alerts, and queries; logging infrastructure as code; sensitive data handling; Gemini accelerating troubleshooting and usability, and much more.

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.