4 tips to help data scientists maximise the potential of AI and ML | Data Scientists - Siliconrepublic.com

Veritone’s Aaron Edell, Product Manager & Owner, explains how data scientists can best harness artificial intelligence and machine learning by Lisa Ardill, joined the team as senior Careers reporter in July 2019. 

Photo: © peshkova/Stock.adobe.com

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?

Siliconrepublic.com spoke to Aaron Edell, director of applied AI at US software company Veritone, to learn how data scientists can harness AI and machine learning technologies for better outcomes.

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.
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Source: Siliconrepublic.com