IBM Data and AI — March 2021

Kiefer Hackney
IBM Data Science in Practice
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2 min readApr 15, 2021

Thank you for following the IBM Data and AI publication on Medium, we appreciate your support and interest!

If you enjoy reading the content shared on this publication, we invite you to join in on conversations and ask questions on our IBM Data Science Community.

The next 200 new members that join the IBM Data Science Community using this link will receive free access to Manning’s Authorship Identification with Text Mining and Machine Learning liveProject. (If you’re not one of the next 200 to join, you will still have unlimited free access to the Data Science Community!)

In case you missed it, here is some of our favorite content from last month:

Snap ML — Speed Up Model Training, by Will Roberts

Snap ML — Speed Up Model Training, by Will Roberts

Automating the AI Lifecycle with IBM Watson Studio Orchestration Flow, by Yair Schiff

Automating the AI Lifecycle with IBM Watson Studio Orchestration Flow, by Yair Schiff

GRAMMY Debates With Watson, by Aaron Baughman, Tony Johnson, Elad Venezian, Yoav Katz

GRAMMY Debates With Watson: From the lab to music’s greatest stage

Unlocking the Potential of Computer Vision for Your Organization: A Point of View on the Industrial Impact of Computer Vision, by Dr. Björn Schmitz, Daniel Jäck, Harald Murgas, Dr. Igor Telezhinsky, Jan Forster, Matthias Biniok, Matthias Falk, Dr. Holger Hennig

Unlocking the Potential of Computer Vision for Your Organization: A Point of View on the Industrial Impact of Computer Vision

See you next month!

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