Decoding Talent

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

Decoding Talent
Michael Ashley, Eric Sydell, Mike Hudy
RRP:
NZ$ 52.99
Our Price:
NZ$ 42.39
Paperback
h229 x 152mm - 224pg
27 Jan 2022 US
International import eta 7-19 days
9781639080090
Out Of Stock
Currently no stock in-store, stock is sourced to your order
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 AI experts Eric Sydell, Mike Hudy, and Michael Ashley explain why the traditional resume application is out of date, why hiring is difficult, the cost of bad people decisions, how bias interferes in hiring practices, and how AI can address these problems.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
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.
Status: No local stock, title imported to order
ISBN-13: 9781639080090
Published: 27 Jan 2022
Published In: United States
Imprint: Greenleaf Book Group LLC
Publisher: Greenleaf Book Group LLC
Format: Paperback
Height: 229mm
Width: 152mm
Pages: 224

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