Are you tired of overhyped AI promises and moon-shot idealists who fail to deliver? This week’s AI News & Insights is all about freeing yourself from the seduction of overhyped and unrealistic AI expectations.
Free yourself from unrealistic AI expectations
Tired of ridiculously overhyped AI promises? Sick of counter-pieces setting the bar too low? Let’s start with this Forbes article from Nathaniel Kangpan, “Artificial Intelligence: Seduction Vs. Reality“.
Kangpan points out some interesting parallels between today’s AI hype cycle, and the “push for the cloud” not very long ago. Like today’s AI, yesterday’s cloud platforms were accompanied by massive hype and unrealistic expectations. Then, as now, sales teams promised seamless transitions between legacy and new-age systems. And then, as now, we were all promised big business benefits with a minimum of effort.
Of course, the reality was far different. Merely dumping an organization’s data into a cloud server offered few direct benefits. The important part came next – that is, what an organization did with that data, after migrating. In this regard, says Nathaniel Kangpan, AI is no different.
In this Forbes piece, Kangpan makes a few more comparisons and offers several tips to help you break free from unrealistic AI expectations.
9 ways AI isn’t going to be like Hollywood
On the subject of “realistic” AI, this seems like a good time to revisit one of Seth Redmore’s Venturebeat articles, “9 ways AI isn’t going to be like Hollywood“.
Now, I love a good sci-fi doomsday flick as much as the next person. But Hollywood’s portrayal of artificial intelligence usually ranges from “semi-plausible” to “hilarious”. In fact, modern pop culture rarely gets AI right.
Artistic license is all well and good, and we’re not saying you shouldn’t enjoy those movies. But bear in mind that most Hollywood characterizations of AI miss the mark. And as AI transforms our businesses and our lives, it’s very important to have a solid understanding of what AI can and can’t do.
3 types of artificial intelligence for the real world
A couple weeks ago, I referred to Jeff Catlin’s latest Forbes article to talk about Watson for Oncology.
Now, we have great respect for MD Anderson and IBM. But the story of Watson for Oncology is full of important, cautionary insights. So it’s no surprise that Harvard Business Review references that story to open their latest report, “Artificial Intelligence for the Real World“.
HBR studied 152 cognitive technology projects and found they fell into three categories: robotics and cognitive automation; cognitive insight; and cognitive engagement. In this report, HBR offers a number of examples of each project type, and a framework for companies looking to build their AI capabilities to accomplish business objectives.
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