Data science and AI predictions for 2019

Data science became the highest-paid IT profession in 2018, and the field is set for further growth in 2019 as the tools and techniques become more accessible and AI moves from hype to practical use cases. A recent Deloitte survey estimated 57 percent of businesses are increasing spending in AI as organisations start to wake up to the potential business benefits. "We are just at the beginning of the enterprise machine learning transformation. In 2019, we'll see a new step in maturity, as companies advance from PoCs to production capabilities," says Stephen Line, VP of EMEA at Cloudera. "Enterprise machine learning adoption will continue as businesses look to automate pattern detection, prediction and decision making to drive transformational efficiency improvement, competitive differentiation and growth. As early adopters advance from proof-of-concepts to production deployment of multiple use-cases, we'll continue to see an emergence of technologies and best practices aimed at helping operationalise, scale and ultimately industrialise these capabilities to achieve full transformational value," he predicts.