A Realistic Framework for AI in the Enterprise - InformationWeek

The year 2019 may have been a bit of a disappointment for enterprises in terms of their efforts to deploy artificial intelligence at scale. While executives in the C-suite remain committed to the idea of AI, and many organizations have created successful pilots of some form of AI technology, getting from pilot to scale has proven a greater challenge. How do you get from here to there? A new report from Lux Research offers a view into the state of AI in the enterprise today, perspective on its history, and some practical advice on a programmatic framework for how to think about AI in the enterprise and tackle implementation challenges. "Given the massive amounts of hype and promise surrounding AI and related technologies like machine learning and deep learning, it's become increasingly difficult to make critical innovation and investment decisions in the space," writes Lux analyst and lead report author Cole McCollum.