![]() ![]() As tweeted by Michael McDonough, global director of economic research and chief economist, Bloomberg Intelligence, public mentions of artificial intelligence on earnings calls has ballooned since mid-2014: No one needs to be reminded that we’re still in the hype phase of AI. SEE: Artificial intelligence ethics policy (TechRepublic Premium) All aboard the AI hype train No, when the IEEE Spectrum editors looked back on the 10 most popular articles of 2021, a clear trend emerged: “what’s wrong with machine learning today.” In other words, this is a senior, highly technical crowd that isn’t overly impressed by puff pieces on the wonders of AI (though they may well believe AI has a bright future). IEEE Spectrum “members are involved with hard-to-penetrate vendor decision teams, usually in management capacity,” according to the 2020 media kit. Hiring Kit: Artificial Intelligence Architectīut if you ask the more engineering-centric, IEEE Spectrum crowd, AI has a long, long way to go before they’re willing to stand and applaud. More must-read AI coverageĨ most innovative AI and machine learning companiesģ questions to separate AI from marketing hype Again, hurray! When the general American populace is asked about AI, most have a positive view on AI’s potential. Hurray! The areas seeing the biggest boost from AI adoption include service-operations optimization, AI-based enhancement of products and contact-center automation. ![]() Our most technical people are down on AI … and that’s a good thingĬommentary: The IEEE crowd is skeptical about AI's most bullish claims, which turns out to be exactly what we need to push it forward.Īccording to a recent McKinsey survey, a majority of enterprises of all sizes are actively embracing AI.
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