Data Science Operationalization: The Journey of Enterprise AI

Logo
Presented by

Inessa Gerber, Director of Product Management, Denodo

About this talk

As we move into a world driven by AI initiatives, we find ourselves facing new and diverse challenges when it comes to operationalization. Creating a solution and putting it into practice, is certainly not the same. The challenges span various organizational and data facades. In many instances, the data scientists may be working in silos and connecting to the live data may not always be possible. But how does one guarantee their developed model in a silo is still relevant to live data? How can we manage the data flow and data access across the entire AI operationalization cycle? Join us to explore: * The journey and challenges of the Data Scientist * How Denodo data virtualization with data movement streamlines operationalization * The best practices and techniques when dealing with siloed data How customers have used data virtualization in their data science initiatives

Related topics:

More from this channel

Upcoming talks (6)
On-demand talks (241)
Subscribers (23067)
For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease. For business professionals, Data Virtualization brings agile information access that in turn drives business agility. The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization.