Most organizations are using GenAI in hopes of gaining easy access to information needed by their users to enable greater productivity. At the same time, it's also well-documented that LLMs can deliver inaccurate information. To be of value, users need to be able to trust that the answers presented to them are correct.

This is a key issue at the center of AI adoption and its applications in the real world. For example, many organizations are beginning to develop, test, and implement chatbots for internal and external use to provide answers to questions by using natural language. When those chatbots do not produce the right answers, all the time and effort put into creating them ends up wasted.

Join David Jayatillake, Cube's VP of AI, for an in-depth discussion on the current state of GenAI and the rise of the semantic layer.

In this talk, you will learn about:

The current state of GenAI

The rise of the semantic layer in modern data stack with AI

The significant differences between an AI chatbot with and without a semantic layer