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RESEARCH & RESOURCES

Expert Panel: The Unified Data Management and Analytics Pipeline

Webinar Speaker: James Kobielus, Senior Research Director, Data Management

Date: Thursday, May 19, 2022

Time: 12:00 p.m. PT, 3:00 p.m. ET

Enterprises are converging the processes under which they prepare data and machine learning models for production environments. Convergence of these processes—increasingly known as the DataOps and MLOps pipelines—is a key enabler for operationalization of artificial intelligence, advanced analytics, and other sophisticated data applications.

In this panel, TDWI senior research director James Kobielus will lead data industry experts in a discussion of the opportunities and challenges associated with enterprise unification of DataOps and MLOPs pipelines. They will discuss such issues as:

  • What enterprises are at the forefront of DataOps/MLOPs unification?
  • What are the chief business drivers behind enterprise unification of DataOps and MLOps?
  • What is the enabling infrastructure, tooling, and skillset for successful unification of DataOps and MLOps?
  • Does unification of DataOps and MLOps pipelines depend on enterprise deployment of data lakehouses?

Guest Speaker

Ginger Gatling
Senior Director, SAP Solution Marketing, Data Management
SAP

Ginger is passionate about data management to drive better business outcomes. Her current focus is on data pipelining, integration, and data orchestration across complex hybrid landscapes. She has been with SAP for many years and has worked in roles from product management and education to product marketing. Let’s connect on LinkedIn: https://www.linkedin.com/in/gingergatling/

Shiyi Gu
Senior Product Marketing Manager
Snowflake

Shiyi leads the Data Engineering Go-to-Market at Snowflake. She is passionate about data and using data to connect people and businesses together, to drive culture and behavior changes. Before Snowflake, she spent many years in the data management industry across the data integration and NoSQL space, where she held various roles at Talend, DataStax, and SAP.

Date: May 19, 2022

Time: 9:00AM PT

James Kobielus


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