To gather insights on the state of artificial intelligence (AI), and all of its sub-segments – machine learning (ML), natural language processing (NLP), deep learning (DL), robotic process automation (RPA), regression, et al, we talked to 21 executives who are implementing AI in their own organization and helping others understand how AI can help their business. We began by asking, "What are your biggest concerns regarding AI today?" Here's what they told us: Hype A fair amount of hype and excitement. The trough of disillusionment and then rise again. We focus on putting AI into production because we believe this is the biggest challenge. 1) The Knowledge Gap — When it comes to combining the business process knowledge with the technical knowledge, there can often be a disconnect between understanding how companies are run and where A.I. implementation can be best leveraged. 2) Hype Cycle — With the hype around A.I. dying down, the technology is now viewed as a more tangible application.
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This article is related to
machine learning,artificial intelligence,deep learning,natural language processing,robotic process automation
machine learning,artificial intelligence,deep learning,natural language processing,robotic process automation
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