The ever-growing data landscape drives initiatives to automate many aspects of the analytics lifecycle; such as data access, enablement of semantics, BI and others. Automation has become an integral part of our daily lives in the enterprise data fabric. The AI-driven initiative to automate the data access and provide guidance to the right data assets, correlates with the initiatives of the data scientists to get access to more curated data.

In this session we will discuss:

• The need for AI driven automation and associated challenges

• Logical Data Fabric architecture for AI initiatives

• Empowering the Data Science team