Python is the language of data science and dominant in AI research. However, it is not the language of enterprise apps, and there are good reasons for this. In this session, Rod will discuss when to use what language and stack for AI success in enterprise. He’ll discuss the key adjacencies for success: LLMs, existing data and business logic, and how to choose what language, stack and framework for a particular problem.
Rod is a developer, author, investor and entrepreneur. He has authored several best-selling books on Java EE. He is the creator of the Spring Framework and was cofounder and CEO of SpringSource. He has served on the board of Elastic, Neo Technologies, Apollo, Lightbend and several other successful companies. He is presently developing a structured RAG system using Spring and Kotlin.