The evolution of machine learning and AI has raised the stakes on how technology organizations extend their enterprise platforms to deploy generative AI applications at scale. In this keynote, Capital One’s SVP, Head of AI Product – and early contributor to Kubernetes at Google – Aparna Sinha, will share considerations and principles for leveraging Kubernetes and other open source technologies to create open enterprise platforms that power generative AI applications. Attendees will walk away with actionable insights and best practices on areas including:
- Extending existing machine learning platforms to create modern generative AI platforms
- New platform layers that need to be built on top of Kubernetes when evolving machine learning platforms for generative AI
- In-house vs. third party build and deployment components and decisions
- Risk and governance implications and considerations
- Articulating platform requirements to enable co-creation and contribution from user communities
