Life before and after Magic Leap, are you prepared?

I remember that during the first wave of internet we tried to replicated the physical world but inside the browser. So buying cloths online was supposed to be like being in the store, which at that time was just impossible. It wasn’t until the second internet wave (after the crash of the first bubble) that we realized that internet won’t be or supposed to be like the real world. Actually it was able to be better but in a different way. During this second wave was where companies like Amazon came to make a revolution in the way we shop,

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The Big Mac effect in technolgy

We can say a lot of things about internet, but can’t say that is not responsible for making regular civilians a little geeks. After internet, no matter your age, sex, or profession, people is involved in technology. If you work in marketing, you know about technology, if you work in finance you know about technology, if you work in logistics, you know about technology. The problem is that, as you can imagine, not all of us are experts in everything, and that’s alright. The problem is that at some point it seems that we don’t know exactly what we don’t

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Here’s why you should develop your own Attribution Model

The good news is that an Attribution model can be a fantastic insight source that can make you generate a huge impact in your company’s bottom line. The bad news is that the impact can be amazingly good or bad, too bad. As you can imagine our industry works similar than any other industry. Standards are set by the market leaders. The most used solution for Analytics in the world is Google Analytics, ergo, the set standard is, as you can imagine, Googlecentric. So Google was telling us that last click is the standard unless, of course, Adwords is involved

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This is what you have to know about artificial intelligence

Last week I was invited to Webcongress Colombia to talk about the future of Data and how Data can transform the world. It was more than 1,300 professionals expecting to talk about the latest advances in technology. Most of the people I was talking with was really optimistic about what a computer can, or can’t do. My normal answer is “Computers are stupid and bureaucratic at creating but great repeating things, while humans are fabulous creating but very clumsy at repeating things”. As I wrote in my book Meta Analytics, repetitive activities become transparencies for humans, so at some point we can’t identify mistakes that are not

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