Technology - Virtual Roundtable

Modernized data engineering for AI and data analytics

29th January 2021 | 1:00pm - 2:30pm EST
How are you managing your data to better implement AI?

While data may be your most important asset many organizations are struggling to manage the vast quantities and complex environments that they have built that incorporate distributed stores and sources. Multiple data sources create complexities for the data scientists who leverage data in different formats and locations.

Innovation and automation are the heart of a next-generation data centric approach. Managing the data from end to end and from edge to core to cloud allows for the creation and iteration of data models and also the movement of those models to the optimal location. We will discuss methods for modernizing your data management architecture and techniques for improving model management using modern data fabrics.

Join EVOTEK and a select group of your industry peers for a roundtable discussion exploring the challenges and options for modern data management for AI and data analytics.

Discussion Topics

What challenges are you facing when it comes to your AI initiatives?
How are you managing data end to end from edge to core?
Are there any barriers when it comes to creating that unified view of your data?
Thought Leader
Ned Engelke Chief Technology Officer, EVOTEK
Ned Engelke has served as EVOTEK’s Chief Technology Officer since inception. He brings over 25 years… Find out more
Thought Leader
Hoseb Dermanilian Head of AI and Data Analytics, NetApp
Hoseb joined NetApp in 2014. In his current role, he manages and develops AI and Digital… Find out more
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