Data Management Best Practices for Machine Learning


Machine learning is on the rise at businesses hungry for greater automation and intelligence. A recent study fielded amongst the subscribers of DBTA found that 48% currently have machine learning initiatives underway with another 20% considering adoption. At the same time, most projects are still in the early phases. Machine learning is the new kid on the block. From data quality issues, to architecting and optimizing models and data pipelines, there are many success factors to keep in mind.

To educate its readers about the key technologies and strategies, DBTA is kicking off 2021 with a special roundtable webinar on January 21st. Reserve your seat today to dive into this exciting new area with our experts!

Register now to attend the webinar Data Management Best Practices for Machine Learning.

Don't miss this live event on Thursday, January 21st, 11:00 AM PT / 2:00 PM ET.

Audio is streamed over the Internet, so turn up your computer speakers!

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Stephen Faig
Research Director
Unisphere Research and DBTA
Gaurav Deshpande
VP of Marketing
Santiago Giraldo
Director of Product Marketing Data Engineering & Machine Learning
Paige Roberts
Open Source Relations Manager