Decoding Talent

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AI experts Eric Sydell, Mike Hudy, and Michael Ashley explain why the traditional resume-based process is out of date, why hiring is difficult, the cost of bad people decisions, how bias interferes in hiring practices, and how AI can address these problems.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

Soon to be published in February 2022 by Fast Company Press. Buy your advance copy here!
Decoding Talent Book Cover

Articles

“Consumers have spoken: there is way too much content online. The smart way to engage an increasingly wary public is to combine AI insights for "relevance at scale" with a good old-fashioned human touch.”

“As continuing developments push technology from the realm of the conceivable into the possible, it’s not so far off to imagine the death of search, or at least the rise of search 2.0.

“Though Iscovich works in the tech sector, the very eye of the storm when it comes to perpetuating our 24/7/365 go-go culture, his new book bucks 21st century conventional wisdom by suggesting the best way to navigate our noisy new world is to reject constant novelty

“Does it seem like only yesterday that you were hearing about smart phones for the first time? How about preparing for Y2K? Before we ever realized it, 2019 snuck up on us. And in less than a year, we will be entering a new decade.

“There is another way to operate, one that rewards individual contributions and better serves organizations: Corporations must embrace the bottom-up mindset of scrappy startups.

“The virtues of the humble "routine" may seem antithetical to the risk-taking nature many entrepreneurs pride themselves on.

“There may be a tendency to view data manipulation and insecurity through the lens of good and evil, but that's too simplistic.

“Ultimately, the potential for greater human and machine symbiosis portends a remarkable alliance. Science fiction movies such as 2001:

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