Abstract: 

Machine learning and artificial intelligence initiatives are only as good as the data that sustains them. Today, many companies deal with data sprawl, regulatory compliance, and increasingly complex data ecosystems putting ML and AI initiatives at risk. The data management discipline of DataOps helps companies overcome these challenges by streamlining data tools and processes to accelerate ML and AI initiatives.

During this session, Cody Rich, Solutions Engineer at Zaloni, will share how unified DataOps optimizes the end-to-end data supply chain and bridges the gap between data engineers, stewards, analysts, and data scientists to process and deliver secure, trusted data rapidly. Cody will also provide a short demo of Zaloni’s DataOps platform, Arena.

In this session, you’ll learn:
- How to achieve end-to-end visibility and control of your data supply chain
- How DataOps accelerates ML and AI initiatives
- How to leverage a zone-based architectural approach for data governance

Bio: 

Cody Rich is a Solutions Engineer at Zaloni, specializing in enterprise software and solutions sales within data and analytics. You may recognize him from previous leadership roles at MetiStream and QGenda.