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Artificial Neural Networks, Part 3: Who’s Afraid of ANNs?

This article is the third in a series on artificial neural networks. Follow these links to read the first and second. As I mentioned in the first article in this series, the current surge in popularity of artificial neural networks isn’t the first one. At least in scientific circles, ANNs wer (...)

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Big Data Flood, Part 2: The Pros, Cons, and Realities of Artificial Intelligence

This article is the second in a series on Everyday Implications of the Big Data Flood. See the first article here. The conflict between Elon Musk and Mark Zuckerberg that was reported barely two months ago revolved around a difference in opinions on a topic that may seem ridiculous: whether AI (...)

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Top Three Takeaways from the 2017 Gartner Symposium

Every year, The Gartner Symposium / ITExpo is a source of inspiration for the entire IT industry. The event, which Gartner describes as “The World’s Most Important Gathering of CIOs and Senior IT Executives,” is a great opportunity for leading IT vendors and their customers to discuss (...)

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Everyday Implications of the Big Data Flood, Part 1

As you are probably aware, the total amount of data in the world is exploding. At Lingaro we help multinational companies capitalize on this phenomenon, and we are watching it play out from first row seats. But what implications does this “Big Data flood” have at the individual level? For (...)

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What Augmented Analytics Can Do for You… And What It Can’t

Why Smart Data Discovery Still Requires Smarts Imagine you’re driving late at night on the highway. A sign saying “Last gas for 100 miles” appears in your headlights. You glance down at your car’s digital range estimator. “150 miles till empty.” What’s (...)

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Artificial Neural Networks, Part 2: Three Ways You’re Already Using ANNs

This article is the second in a series on artificial neural networks (ANNs). To see the first, click here. In my previous article, I said that artificial neural networks, despite having mostly fallen off the excitation curve in the 1960’s, are now a buzzword that’s back with vengeance 🙂 (...)

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Artifical Neural Networks, Part 1: The (First) Rise and Fall in ANN Popularity

This is the first article in a three part series on artificial neural networks. You probably know plenty of technology buzzwords. For example, there’s Big Data. Or Data Science. Don’t forget Machine Learning and Convergence. The list goes on. But have you ever thought about why buzzwords a (...)

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The New, Spoofed Digital Evidence Behind Fake News

I bet that you’ve heard the phrase “fake news” a lot lately, at least if you are following US media. It’s also possible that you’ve stumbled upon some appeals that urged you to verify the news that you’re reading or posting on Facebook and to be wary when consuming media content in (...)

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Info Design Part 2: Here’s Your Quick-Start Primer on Information Design Theory

This is the second in a three-part series on Information Design. Read Part I: 3 Key Information Design Skills – And Why You’re Going to Want Them In my last article, I outlined 3 key information design skills and some practical reasons why demand for these skills has been growing recen (...)

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Info Design Part 1: 3 Key Information Design Skills – And Why You’re Going to Want Them

This is the first article in a three-part series on Information Design. Today, you have faster access to more data than ever. Not to mention better tools to manipulate and visualize it. What are you going to do with it all? If you’re like me, your first thought is to create a cool data repres (...)

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Data Science As We Know It

Data Science There’s a well-known presentation slide that goes something like this: “Data Science is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it…” Sounds right, but what (...)

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The Real-World Data Democratization Bottleneck – And How Domo Fixes It

Today, it is increasingly hard to get data democratization right. On the one hand, the Big Data ecosystem is growing larger, more complex, and redundant with data from multiple sources flowing to diverse storage locations.

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