AI and Machine Learning in Data Engineering

Presented by

Dr. Pragyansmita Nayak, Chief Data Scientist | Hitachi Vantara Federal

About this talk

AI/ML-driven data applications are often considered as the final data application -- the target of all data preparation and metadata management activities performed upfront. However, AI/ML can also effectively aid the data aggregation and categorization for search, analytics, and discovery. Data tagging and metadata management can be automated and thereby, enhance the overall data experience for all entities involved in the data process – business or technical. In this session, we'll cover certain examples of AI/ML in data engineering. About the Speaker Dr. Pragyansmita Nayak is the Chief Data Scientist at Hitachi Vantara Federal (HVF). She explores the "Art to the Science" engaging with several challenging Data Engineering and Data Science projects in the US Federal Government domain. She has over 22+ years of experience in software development and data science. She holds a Ph.D. in Computational Sciences and Informatics from GMU (Fairfax, VA. She has presented as part of various BrightTalk and other similar technical events in the past. She lives in DC Metro with her husband and enjoys cooking, travel, and photography. For more information on Pragyan's professional experience, please visit her LinkedIn profile at https://www.linkedin.com/in/pragyansmita and Twitter profile at https://twitter.com/SorishaPragyan.

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (574)
Subscribers (84811)
Data is the foundation of any organization and therefore, it is paramount that it is managed and maintained as a valuable resource. Subscribe to this channel to learn best practices and emerging trends in a variety of topics including data governance, analysis, quality management, warehousing, business intelligence, ERP, CRM, big data and more.