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William Vorhies
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  • Thousand Oaks, CA
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William Vorhies's Discussions

Will all that data in the hands of Google or Facebook lead to a good result or bad?

Started this discussion. Last reply by Mab Alam May 28, 2018. 2 Replies

Two years ago Google X, the moonshot lab within Google prepared a speculative 9 minute video for in-house consumption called "The Selfish Ledger".  Recently the video was leaked and found its way…Continue

Tags: transperancy, privacy, the selfish ledger

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Latest Activity

Kun He liked William Vorhies's blog post Doctors are from Venus, Data Scientists from Mars – or Why AI/ML is Moving so Slowly in Healthcare
Wednesday
William Vorhies's 2 blog posts were featured
Monday
William Vorhies posted a blog post

Where AI/ML Creates Value in Consumer Goods & Retail and Where It Needs Help

Summary: Especially in consumer goods and retail the value of AI/ML is only part of the story.  AI/ML will increasingly need to integrate with helper technologies to deliver maximum value.  Up your game in IoT, 5G, and robotics to ensure you’re giving your operating team all the best options for their investment. When I come across interviews with business leaders talking…See More
Monday
Sandrine FAVIER liked William Vorhies's blog post 100 Data Science Interview Questions and Answers
Monday
William Vorhies's 2 blog posts were featured
May 6
William Vorhies posted a blog post

Where Do We Stand With GANs?

Summary:  GANs (Generative Adversarial Nets) originally thought to be a tool for inexpensively creating DNN training data have instead become the tools for creating deep fake images.  However the deep fake technology is now finding uses in the commercial world and promises valuable results. Generative Adversarial Nets (GANs) are now five years old, dating from the…See More
May 6
Johan Steunenberg commented on William Vorhies's blog post Causality – The Next Most Important Thing in AI/ML
"Triggered by this article I played a bit with DoWhy but either it seems quite immature."
May 3
William Vorhies posted an event

IARPA Opens Geopolitical Forecasting Challenge 2 Worth $250K at on line competition

April 29, 2019 at 6pm to July 31, 2019 at 7pm
I’m reaching out to let you know about IARPA’s latest prize challenge in hopes that you or someone in your network might be interested in participating. Last year’s Challenge showed great promise, and I believe by expanding and diversifying the pool of Solvers, Geopolitical Forecasting Challenge 2 can top it. Even if you just follow along or join an information session, there’s networking and other opportunities here, I think. For example, the data sets these teams get are not widely available.…See More
Apr 29
William Vorhies's 2 blog posts were featured
Apr 29
PG Madhavan commented on William Vorhies's blog post Causality – The Next Most Important Thing in AI/ML
"Bill, yes, Causality Analysis IS the next wave in Data Science. Why? For BUSIINESS applications, dashboards, etc., are nice but the CxO wants to know which knobs to turn for a desired business outcome! Which is Prescriptive Analytics . . . not to…"
Apr 26
Akshay Milwani liked William Vorhies's blog post Deep Learning Epic Fail – Right Answer - Wrong Reason
Apr 26
Lance Norskog commented on William Vorhies's blog post Causality – The Next Most Important Thing in AI/ML
"I have not seen a basic idea described in the causality literature. Either I'm looking in the wrong place, or I really am another Einstein- but I'm guessing the former. In information theory, signal and noise are a "package…"
Apr 26
PG Madhavan liked William Vorhies's blog post Causality – The Next Most Important Thing in AI/ML
Apr 26
Tapan Bagchi commented on William Vorhies's blog post Causality – The Next Most Important Thing in AI/ML
"Dear William, All you guys in computer science suffer from (a) little knowledge about anything outside C Sc and (b) jumping on the latest bandwagon, without the grasp of the relevant fundamentals. I have seen your colleagues argue till they turn…"
Apr 25
Marc Cox liked William Vorhies's blog post Causality – The Next Most Important Thing in AI/ML
Apr 25
Omid Gheibi liked William Vorhies's blog post Causality – The Next Most Important Thing in AI/ML
Apr 25

Profile Information

Short Bio
Editorial Director for DataScienceCentral. President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as a service. Bill has been an active commercial predictive modeler since 2001.
My Web Site Or LinkedIn Profile
http://www.data-magnum.com
Professional Status
C-Level
Years of Experience:
15
Your Company:
Data-Magnum, LLC
Industry:
big data and predictive analytics
Your Job Title:
President & Chief Data Scientist
Interests:
Networking, New venture

William Vorhies's Blog

Where AI/ML Creates Value in Consumer Goods & Retail and Where It Needs Help

Posted on May 13, 2019 at 8:06am 0 Comments

Summary: Especially in consumer goods and retail the value of AI/ML is only part of the story.  AI/ML will increasingly need to integrate with helper technologies to deliver maximum value.  Up your game in IoT, 5G, and robotics to ensure you’re giving your operating team all the best options for their investment.

 …

Continue

Where Do We Stand With GANs?

Posted on May 6, 2019 at 7:57am 0 Comments

Summary:  GANs (Generative Adversarial Nets) originally thought to be a tool for inexpensively creating DNN training data have instead become the tools for creating deep fake images.  However the deep fake technology is now finding uses in the commercial world and promises valuable results.

 

Generative…

Continue

What to Tell Your Board About AI/ML

Posted on April 29, 2019 at 9:35am 0 Comments

Summary:  Communicating with your Board of Directors about AI/ML is different from conversations with top operating executive.  It’s increasingly likely your Board will want to know more and planning that communication in advance will make your presentation more successful.

 

As AI/ML becomes increasingly…

Continue

Causality – The Next Most Important Thing in AI/ML

Posted on April 22, 2019 at 8:47am 4 Comments

Summary:  Finally there are tools that let us transcend ‘correlation is not causation’ and identify true causal factors and their relative strengths in our models.  This is what prescriptive analytics was meant to be.

 

Just when I thought we’d figured it all out, something comes along to make…

Continue

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At 9:08pm on July 27, 2015, Ziauddin Syed said…

Dear William,

Congratulation to you on your promotion to Editorial Director for the Data Science Central Network (DSC). 

Regards,

Zia

 
 
 

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