DWS's stake in Arabesque showed how asset management is moving towards AI-powered investing. Artificial intelligence, hailed as investing's next frontier, is already widespread in various forms, but its true potential in portfolio management is still far from being fulfilled. In a study on AI and finance for the Alan Turing Institute, Professor Bonnie Buchanan puts AI's "impressive" growth down to declining processing and data-storage costs, and an immense availability of data. But compared to other fields, the quantity of data or the ability to create and collect new investment data is still not sufficient, despite its abundance, according to Michael Neumann, head of AI quant investing at Arabesque AI in London. Financial data also comes with a lot of'noise', and the definition of success or failure can be more nuanced.

Self-driving cars are in the works. Machine learning is being used by a growing number of businesses to maximize efficiency. In short, automation is increasingly becoming a part of the landscape for more and more jobs--skilled and unskilled alike. So how can you make sure yours is secure as we barrel into the future? I talked to Andrew Filev, CEO of Wrike--a work management program that utilizes AI and machine learning.