“While there are exciting developments in big data, machine learning and artificial intelligence, we need to be mindful of the many challenges big data faces, including privacy, regulation, cost, and data availability. This will be studied over the years to determine how and if alternative data sets can be married into the investment process efficiently while being able to generate a sustainable source of alpha. While the future cannot be predicted, one thing is for certain – fund managers will look to use data-driven techniques to complement the investment process in a term I like to call ‘man plus machine.'”
Read the full article at Thomson Reuters.