Articles
There's no 'one size fits all' approach to AI, but here's a look at four major types and how they can help deliver business impact.
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COVID-19 has disrupted the way companies do business, forcing many to reconsider how they use complex algorithms and models for forecasting a variety of tasks.
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The worldwide economy has been flipped upside down in recent weeks, causing me to wonder how AI could help make our workforce more resilient in the future.
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Enterprises are adopting AI at a much slower pace than expected, but they'll begin to overcome this challenge in 2020.
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People bring a lot of baggage with them when it comes to AI. Before you can expect them to work with it, you first need to get them to understand what it is.
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Artificial intelligence (AI) is a theme that’s been frequently dramatized by the entertainment industry. We see it in the form of humanoid figures with superhuman intelligence.
These AI marvels work 24/7, nearly at the speed of light, yet they never get tired or complain.
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The enterprise world is littered with jargon. One of the buzzwords du jour is “digital transformation” — a term I'm sure you’ve heard by now.
But what does digital transformation mean? It’s like Dan Ariely’s comment on big data, “everyone talks about it, nobody really knows how to do
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We’ve been told that we are special ever since we're little, but how special are we?
I challenge you to find another person in the world that is exactly like you. That person probably doesn’t exist.
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Whether you’re already a diehard Pokémon Go enthusiast or wondering what all the hype is about (and why people are walking aimlessly around public spaces), one thing is certain: every brand marketer can learn some great gamification lessons from this worldwide phenomenon.
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The promise of big data is that it contains big information, big insights. But data and information are not the same. Data is only as valuable as the information and insight we can extract from it, because it’s the information and insight that help us make better decisions.
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