Subscribe to DSC Newsletter
William Vorhies
  • Male
  • Thousand Oaks, CA
  • United States
Share on Facebook
Share

William Vorhies's Friends

  • Flavio Bossolan
  • Vasanth Gopal
  • Sapan Patel
  • Carla Gentry

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

Gifts Received

Gift

William Vorhies has not received any gifts yet

Give a Gift

 

William Vorhies's Page

Latest Activity

Jesse Russell commented on William Vorhies's blog post AI’s Ethical Dilemma – An Unexpectedly Urgent Problem
"Thank you for this post. A big part of the difficulty with creating codes or rules for ethics is that in real life data science there are often multiple trade-offs. Not all objectives can be simultaneously maximized. Often different ideas of…"
Wednesday
William Vorhies's blog post was featured

An Argument in Favor of Centaur AI

Summary:  Centaur AI is the best marriage of the machine’s ability to remember, analyze, and detect issues along with the human’s intuition to evaluate or take action on those results.  Instead of focusing on AI replacing humans, we should focus on AI in its role of augmenting humans. In this angsty age where so much attention is given to AI replacing humans it’s worth…See More
Wednesday
William Vorhies posted a blog post

An Argument in Favor of Centaur AI

Summary:  Centaur AI is the best marriage of the machine’s ability to remember, analyze, and detect issues along with the human’s intuition to evaluate or take action on those results.  Instead of focusing on AI replacing humans, we should focus on AI in its role of augmenting humans. In this angsty age where so much attention is given to AI replacing humans it’s worth…See More
Tuesday
Narayana Kadoor liked William Vorhies's blog post Revisiting the Implementation of AI Strategies
Feb 6
William Vorhies's blog post was featured

Where’s the Love – Trends in Data Science Career Opportunities

Summary:  The annual Burtch Works salary survey tells us a lot about which industries are using the most data scientists and the difference between higher and lower skilled data scientists.  Salary increases show us whether demand is increasing, and finally we take a shot at determining which skills are most in demand. What a difference a few years can make.  We used to…See More
Feb 6
Tim Matteson liked William Vorhies's blog post Revisiting the Implementation of AI Strategies
Feb 4
William Vorhies's blog post was featured

Revisiting the Implementation of AI Strategies

Summary:  Can all AI strategies be defined by a few common needs or are the different AI strategy models sufficiently unique that they need to be considered as separate approaches. There’s an article in the current Harvard Business Review titled “Competing in the Age of AI”.  Since we’ve spent a good deal of…See More
Feb 3
William Vorhies's blog post was featured

AI Techniques for Workforce Forecasting

Summary:  Workforce forecasting and scheduling applications are rapidly upgrading their use of AI.  Techniques of time series forecasting ranging from the simple Holt Winters to the complex, DNNs and Multiple Temporal Aggregation are available on some but not all platforms.  Increasingly, AI differentiates the usefulness of these apps.   There’s much talk these days about…See More
Feb 2
Vincenzo Parrilla liked William Vorhies's blog post Just How Much Do You Trust Your AI?
Jan 31
Vincenzo Parrilla liked William Vorhies's blog post Just How Much Do You Trust Your AI?
Jan 31
William Vorhies liked Vincenzo Parrilla's blog post What AI thinks about AI
Jan 30
Narayana Kadoor liked William Vorhies's blog post Transfer Learning –Deep Learning for Everyone
Jan 29
Tim Matteson liked William Vorhies's blog post AI Techniques for Workforce Forecasting
Jan 29
William Vorhies's blog post was featured

AI Techniques for Workforce Forecasting

Summary:  Workforce forecasting and scheduling applications are rapidly upgrading their use of AI.  Techniques of time series forecasting ranging from the simple Holt Winters to the complex, DNNs and Multiple Temporal Aggregation are available on some but not all platforms.  Increasingly, AI differentiates the usefulness of these apps.   There’s much talk these days about…See More
Jan 28
William Vorhies's blog post was featured

Just How Much Do You Trust Your AI?

Summary:  Just how much should you trust your AI systems?  Best practice points to constant review, strong governance, and the willingness to override results that seem illogical. Just how much do you trust your AI?  This is not intended to be the skeptical consumer view about bias or black box outcomes.  It’s intended to see if leaders in actual implementation see AI…See More
Jan 21
William Vorhies posted a blog post

Just How Much Do You Trust Your AI?

Summary:  Just how much should you trust your AI systems?  Best practice points to constant review, strong governance, and the willingness to override results that seem illogical. Just how much do you trust your AI?  This is not intended to be the skeptical consumer view about bias or black box outcomes.  It’s intended to see if leaders in actual implementation see AI…See More
Jan 20

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

An Argument in Favor of Centaur AI

Posted on February 11, 2020 at 1:19pm 0 Comments

Summary:  Centaur AI is the best marriage of the machine’s ability to remember, analyze, and detect issues along with the human’s intuition to evaluate or take action on those results.  Instead of focusing on AI replacing humans, we should focus on AI in its role of augmenting humans.

 

In this angsty age where…

Continue

Revisiting the Implementation of AI Strategies

Posted on February 3, 2020 at 11:15am 0 Comments

Summary:  Can all AI strategies be defined by a few common needs or are the different AI strategy models sufficiently unique that they need to be considered as separate approaches.

 

There’s an article in the current Harvard Business Review titled “…

Continue

AI Techniques for Workforce Forecasting

Posted on January 28, 2020 at 2:15pm 0 Comments

Summary:  Workforce forecasting and scheduling applications are rapidly upgrading their use of AI.  Techniques of time series forecasting ranging from the simple Holt Winters to the complex, DNNs and Multiple Temporal Aggregation are available on some but not all platforms.  Increasingly, AI differentiates the usefulness of these apps.

 …

Continue

Just How Much Do You Trust Your AI?

Posted on January 20, 2020 at 8:26am 0 Comments

Summary:  Just how much should you trust your AI systems?  Best practice points to constant review, strong governance, and the willingness to override results that seem illogical.

 

Just how much do you trust your AI?  This is not intended to be the skeptical consumer view about bias or black box outcomes. …

Continue

Comment Wall (1 comment)

You need to be a member of Data Science Central to add comments!

Join Data Science Central

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

 
 
 

Videos

  • Add Videos
  • View All

© 2020   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service