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William Vorhies
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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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Paul Bremner liked William Vorhies's blog post The Next Big Thing in Data Science is …. Biology
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Paul Bremner liked William Vorhies's blog post The Next Big Thing in Data Science is …. Biology
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Stewart Prentice liked William Vorhies's blog post What Comes After Deep Learning
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William Vorhies's blog post was featured

The Next Big Thing in Data Science is …. Biology

Summary: Computational Synthetic Biology (CSB) is likely to be both the next big thing and perhaps most important field to exploit data science.  As the name implies, this lies at the intersection of data science and biological research.  Big advancements and big investments are already starting to occur here.  Data scientists with deep learning skills will want to check this out. …See More
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Shravan Kumar Koninti liked William Vorhies's blog post The AI/ML Opportunity Landscape in Healthcare. Do It Right or It Will be More of a Mine Field.
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Lava Kafle liked William Vorhies's blog post The AI/ML Opportunity Landscape in Healthcare. Do It Right or It Will be More of a Mine Field.
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William Vorhies's 2 blog posts were featured
Jan 15
Thomas Morphopoulos liked William Vorhies's blog post Seeing the AI/ML Future in Healthcare Through the Eyes of Physicians. It Doesn’t Look Quite the Way Data Scientists See It.
Jan 14
Ted Sunshine commented on William Vorhies's blog post Seeing the AI/ML Future in Healthcare Through the Eyes of Physicians. It Doesn’t Look Quite the Way Data Scientists See It.
"Completely agree with the author about where the medical practitioners stand regarding the implementation of AI/ML in the health care industry. That will cause a significant delay in the realization of the expectations. However, let's look…"
Jan 14
William Vorhies posted a blog post

The AI/ML Opportunity Landscape in Healthcare. Do It Right or It Will be More of a Mine Field.

Summary:  Despite hundreds of projects and thousands of data scientists devoted to bringing AI/ML to healthcare, adoption remains low and slow.  A good portion of this problem is our own fault for failing to see the processes being disrupted through the eyes of the physician users.  Here we lay out the healthcare opportunity landscape but for data scientists following classical disruption strategies, it may be more of a minefield.  Part 2 of 3.  …See More
Jan 14
David liked William Vorhies's blog post Seeing the AI/ML Future in Healthcare Through the Eyes of Physicians. It Doesn’t Look Quite the Way Data Scientists See It.
Jan 13
David commented on William Vorhies's blog post Seeing the AI/ML Future in Healthcare Through the Eyes of Physicians. It Doesn’t Look Quite the Way Data Scientists See It.
"Mr Wassermamm is dead on plus.  While working for the IT arm of a healthcare insurer, they were late adopters to data science. That has since changed. Nevertheless, stakeholders that sponsor projects wonder why immediate impact aren't…"
Jan 13
Tauheedul Ali liked William Vorhies's blog post Seeing the AI/ML Future in Healthcare Through the Eyes of Physicians. It Doesn’t Look Quite the Way Data Scientists See It.
Jan 11
William Vorhies commented on William Vorhies's blog post Seeing the AI/ML Future in Healthcare Through the Eyes of Physicians. It Doesn’t Look Quite the Way Data Scientists See It.
"Klaus: Thanks for sharing your experience.  Your assessment is very much in agreement with what I've discovered in my own discussion with clinicians."
Jan 11
Klaus Wassermamm commented on William Vorhies's blog post Seeing the AI/ML Future in Healthcare Through the Eyes of Physicians. It Doesn’t Look Quite the Way Data Scientists See It.
"Hi William we were trying back to enter the Health area in 2006..2009, in CH, offering support for several areas like quality management, triaging, basic research in clinical medicine, basic research in lab medicine, drug development phase I + II,…"
Jan 11

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

The AI/ML Opportunity Landscape in Healthcare. Do It Right or It Will be More of a Mine Field.

Posted on January 14, 2019 at 8:08am 0 Comments

Summary:  Despite hundreds of projects and thousands of data scientists devoted to bringing AI/ML to healthcare, adoption remains low and slow.  A good portion of this problem is our own fault for failing to see the processes being disrupted through the eyes of the physician users.  Here we lay out the healthcare opportunity landscape but for data scientists following classical disruption strategies, it may be more of a minefield.  Part 2 of…

Continue

Seeing the AI/ML Future in Healthcare Through the Eyes of Physicians. It Doesn’t Look Quite the Way Data Scientists See It.

Posted on January 7, 2019 at 8:00am 4 Comments

Summary: If you want to understand the promise of AI/ML in healthcare you need to see it through the eyes of physicians, the ultimate users.  Turns out these folks aren’t the rapid adopters you’d think they’d be and the problem is largely with the way data scientists have tried to implement.  Part 1 of 3.

 

It’s…

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5 Predictions about Data Science, Machine Learning, and AI for 2019

Posted on December 17, 2018 at 8:50am 0 Comments

Summary:  Here are our 5 predictions for data science, machine learning, and AI for 2019.  We also take a look back at last year’s predictions to see how we did.

 

It’s that time of year again when we do a look back in order to offer a look forward.  What trends will speed up, what things will actually happen,…

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Who Do We Blame When an AI Finally Kills Somebody

Posted on December 10, 2018 at 10:07am 1 Comment

Summary:  We’re rapidly approaching the point where AI will be so pervasive that it’s inevitable that someone will be injured or killed.  If you thought this was covered by simple product defect warranties it’s not at all that clear.  Here’s what we need to start thinking about.

 

So far the press…

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Comment Wall (1 comment)

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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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