How to Make the Jump to AI - DATAVERSITY

AI and machine learning models are being used to help companies stay competitive by discovering new revenue opportunities, improving risk management, detecting fraud, and streamlining business processes. But years ago, data science wasn't even on the curriculum at universities, so many software engineers are acquiring the necessary skills on their own. From my experience, anyone who has a strong STEM background can have a smooth transition to becoming a data scientist. Personally, I studied biology at university, but I was comfortable learning how to build machine learning models on my own. So, even if data science wasn't what you studied in undergraduate or graduate studies, it's possible to make the transition to AI and bring the power of machine learning to your teams.