Just as cloud services and SaaS offerings once proliferated through organizations via unofficial channels, AI tools are now spreading rapidly through shadow adoption. According to Cyberhaven, the volume of corporate data placed into artificial intelligence tools by corporate data workers skyrocketed 485% from March 2023 to March 2024. Developers and teams are increasingly using unauthorized AI services to accelerate their work, creating both innovation opportunities and significant risks.

Join our expert panel as they explore this emerging challenge, sharing insights on how organizations can balance the speed and experimentation that shadow AI enables with the governance and security it demands. Learn practical approaches for transforming shadow AI from a potential threat into a catalyst for official AI adoption and innovation.

As AI-powered code generation moves from novelty to necessity, organizations face new unforeseen challenges. While AI accelerates initial code production, it creates new demands around code review, security validation, and quality assurance. This increased verification overhead arguably offsets a considerable amount of the productivity gains.

Join industry leaders as they explore how organizations are breaking free from these constraints to unlock AI's full potential across the development lifecycle. Our panelists will discuss how to move beyond basic code completion to transform testing, deployment, observability, and team collaboration.

We're thrilled to announce that renowned DevOps pioneer Gene Kim will be delivering the closing keynote, “AI & DevEx: Exploring The Promise And Reality,” at this year's Software Delivery Summit. As the bestselling author of "The Phoenix Project" and "The Unicorn Project," Gene's perspective on this transformative technology comes from decades of experience in improving how we build and deliver software.

In this must-attend session, Gene will talk about the value that he’s personally experienced from using GenAI for development:

- build the things I want faster
- be more ambitious about things I can build
- be able to build them alone (as opposed to requiring other people or a team)
- and have so much more fun doing it
- more swings at bat, explore more options

However, we’re also starting to see case studies of what can go wrong, and the responsibilities that engineering leaders have to make sure the GenAI actually helps achieve organizational objectives.