Smoke and mirrors: How ‘AI Washing’ is fooling the tech industry

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AI washing refers to a deceptive marketing tactic where companies exaggerate their AI use, making products seem more advanced to capitalize on AI hype.

Anywhere you turn and look, you hear about AI. It’s like that trending summer song you hear at the gym, the local shop, and work, and when you get home, your wife has it playing in the living room.

Another way marketers attempt to AI-wash their products and services is when they downplay the amount of human input involved – either by the service provider or the user. Essentially, what’s important is not whether something is called “AI,” or even whether it has a particular computational architecture but whether that computing power is doing something valuable you and I couldn’t do otherwise.

For a specific example, Amazon’s Just Walk Out technology promised to use cutting-edge technologies like facial-recognition cameras, sensors on the shelves, and, of course, “AI.” The promise of the “Just Walk Out” stores was that customers would not need to queue for a cashier, scan their items, or pause on the way out.

A key differentiator of a great AI platform is the ability to integrate solutions and AI modeling into your organization’s cloud. CPGs recognize the need to share data with sources outside their organization to gain AI-powered insights. A true AI platform gives the toolkit to customers; data doesn’t need to be removed from a brand’s technology framework or customer environment. Suppose a solution partner wants to have customer data and deploy that data in a sandbox or cloud.

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