An AI Road Map Starts With Data

Several years into what many people expected to be an AI revolution, there is a nagging sense that we are at a crossroads. Artificial intelligence is an evolutionary step forward for business optimization strategies — and rightly so — but the companies that saw AI as the path to the promised land could be forgiven for thinking that the hype has outweighed successful implementation.

Granted, there are numerous organizations that have integrated AI into their business processes, and it is already a routine part of software development, cybersecurity, natural language processing and robotic process automation (RPA).

And yes, making AI a priority in terms of scalability and an accelerated time to market has shown a modicum of success. Two years ago, for example, AI adoption rates reportedly grew by 270% from 2015 to 2018, according to Gartner, and some observers enthusiastically predicted that a brave new world was already here.

But adoption doesn’t equal success. Read More 

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