Monday, May 11, 2020

The Challenges of Artificial Intelligence

Of course, if companies are expecting to save money by implementing AI, the main concern will be the investments necessary to get AI up and running. The challenge for solution providers here is the same as with any cost analysis—make sure that all costs are being considered. One often-overlooked area is the data component, where they should ensure that sufficient data is being collected and processed for AI to make decisions.

Cybersecurity is another unsurprising challenge. It’s encouraging to see companies shift their thinking on security, treating it more as a primary consideration rather than something to think about after a new technology has been put in place. Still, every new technology brings a fresh set of cybersecurity risks. As organizations continue to rely on digital processes for success, solution providers must continue to build security skills or seek new partners with more security expertise in emerging areas.

The search for expertise is—for now—the third biggest challenge companies expect to face with AI initiatives. Given the state of tech hiring, where demand is outpacing supply in several areas, it seems likely that AI skills will soon become a gating factor. All AI skills are not equal, though. Companies pushing the envelope on AI will be looking for designers who understand the latest machine learning algorithms. Other firms will be looking for help troubleshooting AI systems or interpreting AI results. In fact, AI support and troubleshooting is the top area where businesses expect to engage with a solution provider, with 65% of companies seeking third-party AI assistance targeting this task.
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