AI in 2020: From Experimentation to Adoption

2019 was a productive year for AI, but 2020 is shaping up to bring an exciting new level of commitment and with it, exciting new outcomes for all involved Paid IBM

Major roadblocks are still holding companies back from the benefits of AI. Amongst respondents, 37% cite limited AI expertise or knowledge as a hinderance from successful AI adoption at their business, with increasing data complexities and siloed data and lack of tools for developing AI models following close behind.Trust is part of the bedrock of AI’s deployment.

I see the excitement building with clients every day. Consider just a couple of recent examples. Legal software developerhas leveraged IBM Watson and our natural language processing technology to help attorneys automate some of the most mundane litigation tasks, speeding, for example, the written discovery process from multiple hours to a few minutes.

Wunderman Thompson Data, the global digital agency, uses Watson Studio and Watson Machine Learning to access, analyze and run models on terabytes of data stored across its hybrid multicloud environment. As part of its work with Watson Machine Learning, Wunderman is also using IBM AutoAI to automate models to analyze literally tens of thousands of features from across the company’s datasets.

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