After decades of promise and hype, artificial intelligence is finally achieving an inflection point of market success. It’s now seemingly everywhere In the past few years, the necessary ingredients have come together to propel AI forward beyond the research labs into the marketplace: huge amounts of data; powerful, inexpensive computer technologies; and the advanced algorithms needed to analyze and extract insights from those oceans of data. This is evidenced by the number of companies embracing AI as a key part of their strategies, the innovative, smart products and services they’re increasingly bringing to market, and the volume of articles being written on the subject.
I’d like to discuss a couple of such articles I recently read, one on the major advances recently achieved in machine learning, and the other explaining the differences between machine learning and knowledge discovery.
This past December, the NY Times Magazine published a very interesting article, The Great AI Awakening by Gideon Lewis-Kraus. The article told the story about Google’s adoption of an AI first strategy, and in particular, its use of deep machine learning to dramatically improve Google Translate, one of its more popular online services. In addition, the article nicely explains the technologies developed by the Google Brain research project to achieve its breakthrough improvements.