Why AI needs a platform team

Similar to introducing Agile and DevOps, companies have pilot projects to release their first genAI features. They would bring in people that have an affinity for both AI and applications together to form the first change agent in a company. Once you have a few teams, you notice that there is shared AI infrastructure, and you need enablement and governance across. This pattern has been used to introduce Cloud, Security and Developer Experience. In this session, Patrick Debois will cover the shared components of the AI stack (proxies, caching, testing, feedback collection, guardrails); the steps (and struggles) to enable this across the whole engineering (hackathons, training, abstractions); and how it fits in the existing SDLC workflow and processes (testing, versioning, observability, security). How can we leverage the knowledge of all platform teams together (CloudOps, SecOps , DevEx, data platform and AI platform) for dealing with security, permissions and performance? Learn more: https://platformcon.com/sessions/why-ai-needs-a-platform-team