It took AI just a couple of years to go from undercurrent to mainstream. But despite rapid progress on many fronts, AI still is something few understand and fewer yet can master. Here are some pointers on how to make it work for you, regardless of where you are in your AI journey.

In 2016, the AI hype was just beginning, and many people were still cautious when mentioning the term “AI”. After all, many of us have been indoctrinated for years to avoid this term, as something that had spread confusion, over-promised, and under-delivered. As it turned out, the path from big data and analytics to AI is a natural one.

Not just because it helps people relate and adjust their mental models, or because big data and analytics were enjoying the kind of hype AI has now, before they were overshadowed by AI. But mostly because it takes data — big or not-so-big — to build AI.

It also takes some other key ingredients. So, let’s revisit Big Data Spain (BDS), one of the biggest and most forward-thinking events in Europe, which marked the transition from big data to AI a couple of years back, and try to answer some questions on AI based on what we got from its stellar lineup and lively crowd last week.

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