66% of AI decision makers struggle with finding and acquiring AI talent, and 83% struggle with retention

“The primary encumbrance to this ensuring that AI systems have a quality data set to draw from. The report points to the importance of a mature and well-developed information architecture in order to effectively create and leverage AI in the enterprise.

Naturally, developing an information architecture and the AI systems to leverage it will require human expertise. Forrester cites a talent shortage in this field, indicating that “Two-thirds of AI decision makers struggle with finding and acquiring AI talent, and 83% struggle with retention,” adding that the shortages extend beyond hard technology and science fields, as ‘firms need industry, social, legal, customer experience, and operational expertise to train, manage, and trust AI systems.'”

https://www.google.com/amp/s/www.techrepublic.com/google-amp/article/forresters-2019-ai-predictions-include-automating-20-of-it-support/

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