2016 marked the year that the enterprise world began to wake up to the potential of artificial intelligence (AI). Just two years ago, AI software programs were writing full movie screenplays, predicting the Kentucky Derby and beating video game world champions – and the technological breakthroughs did not stop there. Since then businesses, including many Fortune 500 companies, have started to grapple with what AI can do for their business and operations.
As they experiment, a clear pattern is emerging: anything which is a repeatable process can and will be taken over by AI and machine learning (ML). If you decide to extrapolate these technologies, then all normal processes will be automated, and the job of humans will be relegated to handling the complex exceptions. For example, a recent Harvard Business Review article highlighted how Stitch Fix, an online clothing subscription service, uses a machine learning engine to help make personalized recommendations for customers. Automating data collection and routine processes for employees increases productivity, helps to handle complex requests and allows greater focus on connecting with clients – which ultimately lets businesses better allocate their resources and boost profitability.
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Source: IT Strategy