In the modern business arena, you don't have to look far to find examples of artificial intelligence's application as a method of bolstering efficiency, cutting unnecessary capital expenditures and generally making workers' daily responsibilities easier. These benefits can apply to all tiers of the workforce, from entry-level customer service personnel to chief technology officers and similarly tasked members of the C suite.
"Successful AI initiatives require the stewardship of experienced IT managers and executives."
But it's not enough to simply have AI and machine learning platforms integrated with operations: Your organization also deserves the assurances that these tools will reliably provide you with substantive bottom-line results, and filling any open managerial, C-level or otherwise important IT positions with candidates who are well-versed in such systems' use helps maximize your chances of seeing meaningful success.
Let's take a look at some essential points to consider when seeking AI-proficient tech talent:
The fierce battle for elite AI personnel
According to Forbes, the top 20 businesses recruiting AI talent, including Microsoft, Google, Amazon, Facebook, Intel and Oculus, collectively spend more than $650 million a year to bring on AI researchers and engineers at the pinnacle of their profession. Amazon alone represents almost a third of that – $227.8 million in annual AI personnel expenditures. Couple that with the estimate of Element.AI founder Jean-François Gagné, who told Topbots in November 2017 that there were fewer than 10,000 people in the world qualified to handle the most advanced AI projects. Even accounting for graduates from the world's best technology schools having swelled that number by now, it's not unnatural for company leaders to worry about their chances of recruiting the best AI specialists.
Refinement of the talent search
Topbots noted that knowing exactly what you need out of talent is key to successful discovery. For instance, you wouldn't necessarily have someone with considerable nuts-and-bolts machine learning engineering experience take the role of chief information officer, and an AI data scientist might not be ideal to spearhead an initiative integrating deep learning into customer-facing marketing campaigns. Understand the ins and outs of specific AI roles, ranging from distributed systems engineers to research scientists, determine which professionals you need to fulfill current organizational priorities and refine your talent search accordingly. You need to find the right candidates – the "almost-right" personnel simply won't do.
Creating paths for AI specialists' professional development
In a post for TDWI's Upside blog, veteran IT journalist Brian J. Dooley pointed out that individuals who possess the most elite AI skills are well aware of the high demand for their services. As a result, they're in a position to have highly specific salary demands and may wish to dictate the terms of their working environment more than the average employee. That said, they will often prioritize the possibility for professional development and advancement even higher than pay or operational autonomy, so it's critical for you to provide IT talent with the resources to forge a path that benefits themselves as well as the organization.
It may not always be feasible for organizations to handle the delicate tasks of recruiting IT talent with top-end AI skills on their own. At YES Partners, we make it easy to find someone who will help steer your company toward the most productive and efficient applications of advanced AI tools. To see some of the roles we have already successfully placed, click here.
Finding people is easy, but finding the RIGHT people is not. YES Partners helps companies FIND the right people for all company functions, across many industries.