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Home > IBM Analytics Insights Podcasts > [Part2] Al and Neil discuss why data is wrong, how you fix it, and Neil’s book.
Podcast: IBM Analytics Insights Podcasts
Episode:

[Part2] Al and Neil discuss why data is wrong, how you fix it, and Neil’s book.
Category: Business
Duration: 00:28:59
Publish Date: 2021-07-28 10:00:00
Description:

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next.

Abstract

Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.


This week on Making Data Simple, we have Neil Gilbert Siegel. Neil has lead the creation of a large number of successful military intelligence and commercial systems, this includes the US Blue Force tracker, Neil, has had a number of advances in consumer electronics and health care, a number of patents. Neil also has a number of wards including the US National Academy of Engineering and a Fellow of the National Academy of Inventors. And finally an author of Engineering Project Management.   


Show Notes
2:49 – Why is all data wrong?

9:00 – How do you fix wrong data?

23:17 – Where did you get your love for engineering?


Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter. 

Nassim Nicholas Taleb – Fooled by Randomness - Black Swan

Engineering Project Management

NeilSiegel.usc.edu
Total Play: 0

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