Artificial intelligence (AI) vs. machine learning (ML): 8 common misunderstandings

摘要： IT and business leaders will run into some false notions about artificial intelligence and machine learning and what each...

Without clarity on AI and ML, enterprises can end up pursuing misguided – and ultimately disappointing projects – or falling for fake AI solutions.

So let’s clear up some misunderstandings you may encounter and have to debunk. Many organizations fall into one of two camps: overconfident or overwhelmed about AI and ML. Neither is a good place to start, AI industry analysts say.

Picture a set of Russian nesting dolls: AI is the big one, ML sits just inside it, and other cognitive capabilities sit underneath them. “AI is the broad container term describing the various tools and algorithms that enable machines to replicate human behavior and intelligence,” explains JP Baritugo, director at management and IT consultancy Pace Harmon. There are numerous flavors of AI. Machine learning is one, but there’s also natural language processing (NLP), deep learning, computer vision, and more.

......

詳見全文READ MORE： The Entreprisers Project

若喜歡本文，請關注我們的臉書 Please Like our Facebook Page：Big Data In Finance