By Luming Wang, CTO of ElectrifAi
Enterprise artificial intelligence is finally starting to get traction as C-level executives begin to realize that machine learning models can improve their top line and reduce their costs sooner rather than later. The rub has been that a vast majority of decision makers haven’t understood that they don’t need to hire a legion of data scientists and build their own solutions. There is still some confusion in the marketplace and in the press about this issue.
Fortunately, I was given the opportunity to provide some clarity on the subject, in particular about the availability of our business-ready Applied AI machine learning models on a recent podcast hosted by Boston-based consultancy Emerj: The Consulting Ai Podcast from Emerj
The truth is that companies need to look at the cost and potential returns from pre-built models to see if they meet their necessary requirements. If so, it is usually better to buy pre-structured machine learning models than building them from scratch. At ElectrifAi, we can help customers get rapid returns on their investments by pairing them with the right kind of ML models that are well-suited for their problems or tasks. That means customers can start applying AI to their problems today rather than having to wait until they build out their own systems tomorrow.