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.