Overcoming Data Management Challenges in AI/ML

Presented by

Inessa Gerber, Director of Product Management, Denodo and Aaron Werman, Senior Director - Data and Analytics, Techwave

About this talk

Our data landscape growth creates a need to automate as much of the analytics lifecycle as possible. We need to manage data access, catalogs, and semantics, enable BI, and more. Automation is critical to managing the enterprise data fabric. AI can drive much automation of data access and guide users to the right data assets - and enable data scientists' initiatives by helping them get access to the best-curated data. Attend & Learn: · The need for AI-driven automation and its challenges · Logical Data Fabric architecture for AI initiatives · Empowering the Data Science teams

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