Database development is a complex and tedious process that requires extensive knowledge of database languages and schemas. However, with the advances in natural language processing and generative AI, a new paradigm is emerging: natural language interface to databases (NLIDB).

NLIDB allows users to interact with databases using natural language, translating business requirements into code and queries automatically.

In this session, you will learn how NLIDB works, what are the benefits and challenges of this approach, and how you can leverage it to streamline your database development lifecycle.

You will also see a live demonstration of a NLIDB system that can generate database codes like schemas, queries, store procedures, functions, views, tables and bulk load from natural language prompts.

Join us to discover how natural language processing can unlock the potential of generative AI for data-driven development, where database codes are prompts.