BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Decoding Talent: How AI and Big Data Can Solve Your Company's People Puzzle

Decoding Talent: How AI and Big Data Can Solve Your Company's People Puzzle

Decoding Talent: How AI and Big Data Can Solve Your Company's People Puzzle
Stock photo: cover may vary

Decoding Talent: How AI and Big Data Can Solve Your Company's People Puzzle Hardback -

by Eric Sydell; Mike Hudy; Michael Ashley

Add to wish list
  • Used
Used - Good

Description

Fast Company Press. Used - Good. Good condition. Very Good dust jacket. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
Ask the seller a question Add to wish list
A$47.29
A$5.82 Delivery within USA
Standard delivery: 5 to 9 days
More delivery options
Ships from Wonder Book (Maryland, United States)

Details

  • Title Decoding Talent: How AI and Big Data Can Solve Your Company's People Puzzle
  • Author Eric Sydell; Mike Hudy; Michael Ashley
  • Binding Hardback
  • Condition Used - Good
  • Pages 232
  • Volumes 1
  • Language ENG
  • Publisher Fast Company Press
  • Illustrated Yes
  • Bookseller's Inventory # C12B-05113
  • ISBN 9781639080090 / 1639080090
  • Category Business / Economics / Finance
  • Library of Congress subjects Artificial intelligence, Employee selection
  • Dewey Decimal Code 658.311

About Wonder Book Maryland, United States

Biblio member since 2003

With 3 stores less than 1 hour outside the DC/Metropolitan area (1 in Gaithersburg, 1 in Frederick and 1 in Hagerstown, MD), we have the largest selection of books in the tri-state area. Wonder Book and Video has been in business since 1980 and online since 1997. We have over 1 Million books for sale on our website and another 1 Million books for sale in our 3 locations. We have a very active online inventory and as such, we can receive multiple orders for the same item. We fill those orders on a first come first serve basis, but will refund promptly any items that are out of stock. Since 1980 it has always been about the books. ALL kinds of books from 95 cent children\'s paperbacks to five figure rare and collectibles. A merging of the old and new is where we started, and it is where we are today. Our retail stores have always been places where a reader can rush in looking for a title needed for a term paper that is due the next day, or where bibliophiles can get lost \"in the stacks\" for as long as they wish. In 2002 USAToday recognized us as \"1 of 10 Great Old Bookstores\", and we have been featured in numerous other newspaper and TV stories including Washington Post and CSpan.

Terms of Sale:

RETURNS are cheerfully accepted up to 30 days. We ship out within 1-2 business days and U.S. Standard Shipments usually arrive within 6-9 business days, Priority 3-6.

Browse books from Wonder Book

Reader reviews for Decoding Talent: How AI and Big Data Can Solve Your Company's People Puzzle

From the publisher

Harness the power of artificial intelligence in hiring

The typical hiring process is fraught with complexity, inefficiency, and bias and often shuts out the most talented candidates. Decoding Talent: How AI and Big Data Can Solve Your Company's People Puzzle makes the case for using complex advanced technologies to move past these problems toward effortless optimal candidate decisions.

AI experts Eric Sydell, Mike Hudy, and Michael Ashley explain why the traditional resume-based process is out of date, why hiring is difficult, the cost of bad people decisions, how bias interferes in hiring practices, and how AI can address these problems.

Decoding Talent reveals that using AI in hiring doesn't require your human resource professionals to unlearn and relearn their craft; rather, machine learning can complement their skills by consolidating and analyzing data to recommend actions. Imagine a world in which you didn't have to wonder:

  • Who is the best candidate for the job?
  • What is the return on investment of our hiring process?
  • Is our hiring process fair and equitable?
  • Is our human talent deployed optimally across our organization?
  • What can human resources do to better drive business outcomes for our company?
  • Is our candidate experience adding value to our brand?


Incorporating scientifically based hiring can make this world a reality, benefiting both your company and the candidates for hire.

About the author

Eric Sydell, PhD, is an industrial-organizational psychologist, seasoned entrepreneur, and skilled consultant with more than two decades of experience working in the recruiting technology and staffing industries. An expert in artificial intelligence, machine and deep learning, psychometrics, and their practical application in hiring, Eric regularly writes and speaks on these topics, both in the media and at academic and industry conferences worldwide. Eric currently serves as executive vice president of innovation at Modern Hire, where he oversees all research and product innovation initiatives.

Mike Hudy, PhD, is an industrial-organizational psychologist and industry expert in predictive modeling using human capital data, experiment design, and talent analytics. He was one of the founding scientists of Shaker International, an innovative hiring consulting and solutions firm, where he was executive vice president of science. Currently serving as chief science officer at Modern Hire, Mike is skilled in deciphering talent acquisition complexities and ambiguities to create practical, effective, and satisfying solutions for organizations and their candidates.

Michael Ashley is a former Disney screenwriter and the author of more than twenty-five books on numerous subjects. A regular contributor to Forbes and Entrepreneur, Michael writes about AI and big data from his vantage point as part of the United Nations' AI for Good summit series. Also an ambassador for City.AI, an international organization for the ethical use of tech, he is an in-demand professional speaker who keynotes on average three to four times a month for various organizations. In addition, Michael serves as a story consultant for companies on how to best convey their messaging.

tracking-