Operationalizing Data Science: The Right Architecture and Tools

Presented by

Megha Agarwal, Data Scientist Pivotal

About this talk

In part one of this two-part series, you learned some of the common reasons enterprises struggle to turn insights into actions as well as a strategy for overcoming these challenges to successfully operationalize data science. In part two, it’s time to fill in the architectural and technological details of that strategy. Pivotal Data Scientist Megha Agarwal will share the key ingredients to successfully put data science models in production and use them to drive actions in real-time. In this webinar, you will learn: - Adopting extreme programming practices for data science - Importance of working in a balanced team - How to put and maintain machine learning models in production - End-to-end pipeline design We thank you in advance for joining us. The Pivotal Team

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (29)
Subscribers (2741)
Showing customers how to manage data and deploy advanced analytics with diverse data locality and data types. We demonstrate new features, functionality, and product updates.