Data Science with Buck Woody

I got to interview Buck Woody about Data Science at Microsoft Ignite 2017! :)

In this interview, we chat about Microsoft Business Analytics and AI (formerly known as Cortana Intelligence Suite), Artificial Intelligence in Excel, intent-based programming, Predictive Analytics, DevOps for Data Scientists and life-long learning.

Data Science with Buck Woody – Microsoft Ignite 2017

Read all of Buck Woody’s great posts on his blog Backyard Data Science and follow him on Twitter @BuckWoodyMSFT. For more career advice, read his article Your Career is Your Fault on LinkedIn.

Oh, and we did get more coffee after we recorded this :)

Interview recorded and @BuckWoodyMSFT got his extra triple quad shot coffee. Great start to Day 2 of #MSIgnite :D pic.twitter.com/6dYbCeSiQu
— Cathrine Wilhelmsen (@cathrinew) September 26, 2017

I’m so thankful that Buck took some time out of his busy schedule to chat with me, and I hope all of you enjoy this interview. If you want to learn more, watch his full session DevOps for data science from Microsoft Ignite 2017:

Other interviews from Microsoft Ignite 2017

SQL Server 2017 with Bob Ward
High Performance Analytics with Sunil Agarwal
Azure Data Factory v2 with Mike Flasko

About the Author

Cathrine Wilhelmsen is a Microsoft Data Platform MVP, BimlHero Certified Expert, international speaker, author, blogger, and chronic volunteer. She loves data and coding, as well as teaching and sharing knowledge - oh, and sci-fi, chocolate, coffee, and cats :)

Comments

Hi! This is Cathrine. Thank you so much for visiting my blog. I'd love to hear your thoughts, but please keep in mind that I'm not technical support for any products mentioned in this post :) Off-topic questions, comments and discussions may be moderated. Be kind to each other. Thanks!

Posted by stacylaray on Oct 1, 2017 at 22:03 (Reply to this comment)

Hello Buck! Nice interview.

Hi! This is Cathrine (again). Just a reminder. I'd love to hear your thoughts, but please keep in mind that I'm not technical support for any products mentioned in this post :) Off-topic questions, comments and discussions may be moderated. Be kind to each other. Thanks!