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AI technologies have come far, but the road is long
This article is part of the Business Information issue of February 2018, Vol. 6 No. 1
If you believe what you read, AI technologies have officially permeated the tech market, and you need to get on board now or be left in the annals of history with Blockbuster and Myspace. Problem is, it isn't that easy -- at least, not yet. We've only begun to see what AI technologies such as machine learning can do, and only a small percentage of companies actually have the right data, people and money to invest in the cutting edge. To complicate matters further, a number of companies that claim to offer AI products really only provide one aspect of it, like speech recognition for building chatbots. It makes me wonder if marketers realize that when they overhype products, their customers are underwhelmed and it denigrates all of AI. And do they realize that AI washing makes jaded tech journalists even more skeptical than they already are? (I'm asking for a friend.) As writer Ed Burns says in his feature, "The AI hype train may have left the station a little early." That's not to undercut the value of machine learning and other ...
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Features in this issue
AI holds massive potential for good, but it also amplifies negative outcomes if data scientists don't recognize data biases and correct them in machine learning data sets.
Limited AI capabilities could soon give way to technology that is truly transformative for enterprises, surpassing the overhyped functionality that we see today.
Artificial intelligence is making inroads into manufacturing systems. Case in point is printed circuits manufacturer Jabil, which uses AI to improve its processes and products.
Providers and big vendors are wary, but healthcare in the cloud and the benefits artificial intelligence provides will spur a shift from on-premises systems for analyzing EHRs.
Columns in this issue
Machine learning and other artificial intelligence technologies are poised to offer businesses big benefits, but companies have to walk before they run with AI.
Cognitive computing and healthcare data aggregation may prove to be important bedside companions to doctors treating their patients in the era of medical specialization.
Amid the infiltration of artificial intelligence into business and society, spawning fears from some of Armageddon, humankind's greatest AI threat may very well come from within.