Veritone's Aaron Edell explains how data scientists can best harness artificial intelligence and machine learning. Data science, artificial intelligence (AI) and machine learning (ML) are all massive areas that are undergoing growth in the tech industry and attracting increasing amounts of attention. But what about the jobs of the future that will combine all three? Although there are plenty of possibilities to consider in this area, his main advice is to always maintain sight of the problem that needs to be tackled and keep the customer in mind. With machine learning, business process scalability has made leaps and bounds, but it's important not to get side-tracked by that, according to Edell.

Siliconrepublic.com spoke to Veritone's Aaron Edell to learn how data scientists can harness AI and machine learning. Data science, artificial intelligence (AI) and machine learning (ML) are all massive areas undergoing further growth and attracting increasing amounts of attention. But what about the jobs of the future that will combine all three? Edell's prevailing advice for data scientists working with AI and machine learning technologies is to always maintain sight of the problem they're tackling. With machine learning, business process scalability has made leaps and bounds, but it's important not to get side-tracked by that.