By | Bernard Marr | Internationally best-selling author, keynote speaker, futurist, and strategic business & technology advisor
Self-driving cars, lifelike robots, and autonomous delivery drones are the sexy, headline-grabbing face of the digital transformation that we see all around us today.
None of these would be possible, though, without data – the oil of the fourth industrial revolution – and the analytic technology we’ve built to allow us to interpret and understand it.
Big Data is a term that’s come to be used to describe the technology and practice of working with data that’s not only large in volume but also fast and comes in many different forms. For every Elon Musk with a self-driving car to sell, or Jeff Bezos with a cashier-less convenience store, there is a sophisticated Big Data operation and an army of clever data scientists who’ve turned a vision into reality.
The term Big Data itself may not be as ubiquitous as it was a few years ago, and that’s purely because many of the concepts it embodies have been thoroughly embedded into the world around us. But just because we’ve heard about it for a while, though, doesn’t mean it’s old news. The fact is that even today, most organizations struggle to get value from a lot of the data they have access to. As a business practice, it’s still very much in its infancy.
So here’s my look at some of the key trends that will influence how data and analytics are used for work, play, and everything in between, this year and in the near future.
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