Three key challenges that could derail your AI project – ZDNet

Microsoft wants AI to help, not replace humans.

It's been abundantly clear for a while that in 2017, artificial intelligence (AI) is going to be front and center of vendor and enterprise interest. Not that AI is new - it's been around for decades as a computer science discipline. What's different now is that advances in technology have made it possible for companies ranging from search engine providers to camera and smartphone manufacturers to deliver AI-enabled products and services, many of which have become an integral part of many people's daily lives.

More than that, those same AI techniques and building blocks are increasingly available for enterprises to leverage in their own products and services without needing to bring on board AI experts, a breed that's rare and expensive.

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Sentient systems capable of true cognition remain a dream for the future. But AI today can help organizations transform everything from operations to the customer experience. The winners will be those who not only understand the true potential of AI but are also keenly aware of what's needed to deploy a performant AI-based system that minimizes rather than creates risk and doesn't result in unflattering headlines.

These are the three key challenges all AI projects must tackle:

Interested in a deeper dive? I'll be covering this topic at Forrester's Digital Transformation Europe Forum in London on June 8-9. Click here to register today.

Martha Bennett is principal analyst at Forrester. Follow Martha on Twitter: @martha_bennett.

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Three key challenges that could derail your AI project - ZDNet