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 AI experts Eric Sydell, Mike Hudy, and Michael Ashley explain why the traditional resume-based process is out of date, why hiring is difficult, the cost of bad people decisions, how bias interferes in hiring practices, and how AI can address these problems.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