We have discussed the importance of having the right talent in place when it comes to AI adoption in enterprise quite thoroughly here at Emerj. The scarcity of data science talent and its price point are one of the main reasons small businesses are not likely to adopt AI successfully at this time.
That said, two types of talent are necessary for AI adoption across all industries. One is of course data science expertise: people that deeply understand the role of data in machine learning and the capabilities and applications of AI. The other, however, is domain or subject-matter expertise: people that deeply understand the business itself and the context surrounding business processes.
Through all phases of an AI initiative, data science and subject-matter experts are needed to work in tandem. Currently, it is rare to find both kinds of talent in the same person.
Of course, that may change in the next few years. Grant Wernick, CEO and co-founder of Insight Engines, a company tha...
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