December 29, 2017
As digital transformations become a key strategy for corporate competitiveness, finding the right talent to deploy, maintain and improve these technologies is paramount. According to a recent EY survey, nearly one third of businesses claim to have implemented full scale AI systems. Whether or not these organizations actually leverage AI to its fullest potential or if they are simply branding algorithmic mechanisms and machine learning as true AI, they recognize AI as an integral part of their company.
Regardless of the type of artificial intelligence, machine learning or advanced analytics, companies still need capable people to launch and maintain these systems. Joe McKendrick of Forbes investigates the types of jobs required to make AI a reality in today’s companies. For executives and managers, the challenge will be identifying skills that move the needle and how to mold existing relevant skills into nascent positions and career paths.
What’s Holding AI Back and Pushing it Forward
One of the major barriers to full AI implementation in today’s organizations is the lack of talent. Some managers also take the “wait and see” approach according to McKendrick, because the current technology in circulation doesn’t deliver the value they need or expect in order to validate a large-scale implementation. They would rather wait for the technology to mature and the talent pool to grow.
Many leading enterprise technology companies are sprinting towards AI as a key product offering. The enthusiasm for AI from a vendor perspective may also push more reluctant companies to implement sooner than expected. Thus, companies will need to hire the right people to see AI implementations through and maintain the technologies.
Human Collaboration with AI Technologies
AI and similar technologies often seem rapacious and menacing when it comes to the topic of jobs and the future of work. Companies must remember to put people first. It’s important to equip current employees with the right training to operate AI enabled systems and find other productive avenues for work if certain tasks become automated. As more research and development goes into AI, the technology and its implementation and management will become simpler requiring less technically astute employees to operate it.
McKendrick predicts that the increased accessibility of AI technology coupled with competition in the marketplace will drive demand for increased human intelligence to run artificial intelligence.