Since the legendary Go match between AlphaGo and Lee Sedol in 2016, when Google’s DeepMind product beat the 18-time world champion — marking the first time a computer beats a 9-dan professional, the world has been all the more captivated by the power of artificial intelligence. At once fascinating and formidable, machine learning has the potential to radically change human lives for the better, whether it be through aspects such as natural language processing, bioinformatics, or credit card fraud detection. For its many obvious benefits, however, AI technology has yet to see mass adoption by businesses across the board. In fact, only 21 percent of enterprises surveyed in a McKinsey report say that they have incorporated AI in parts of their business, mostly in areas such as service operations and product development. Among the top ranked reasons for this include a lack of AI talent and a lack of technological infrastructure to support AI implementation. So far, only the big players in the tech space have been able to develop solid go-to-market AI solutions, with the gamut not extending much further beyond Amazon’s Alexa, Google’s TensorFlow, and Apple’s Siri.
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