AI deployment in the corporate world is at a critical inflexion point, often stuck at the proof of concept (POC) stage. The need for translation between data science teams and business stakeholders means that corporates should consider appointing a Chief AI Officer (CAIO) to set strategy, support technology choices, and drive roll-out. As machine learning becomes business as usual, the ambition should be to make them redundant. But until you are there, a CAIO may be just the shock to the system that your business needs. The Chief Executive has attended the conference, her senior team have had the briefings.

Companies across the world are leveraging Artificial Intelligence to communicate with customers, extract relevant insights out big data and solve some of the most complex problems. AI is everywhere and the way it is rising, it is prophesied to create2.3 million jobs by 2020. However, even though AI seems to be the next big tide in the industry, many companies are not able to make the best out of this sought after technology. Maybe because they are lacking someone who would be able to make some serious decisions regarding this technology. And this calls for the much-needed job of a Chief Artificial Intelligence Officer (CAIO).