Big data

Describe the megatrend and its key impacts.
Identify opportunities and challenges related to the megatrend.

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Humanized Big Data. (visual, empathetic, qualitative)

Big data has been a big topic for the past five years or so, when it started making headlines as a buzzword. The idea is that mass quantities of gathered data—which we now have access to—can help us in everything from planning better medical treatments to executing better marketing campaigns. But big data’s greatest strength—its quantitative, numerical foundation—is also a weakness. In 2017, I expect we’ll see advancements to humanize big data, seeking more empathetic and qualitative bits of data and projecting it in a more visualized, accessible way.

 

Dark analytics—Advances in computer vision and pattern recognition allow companies to unlock insights from unstructured data that until now, have been lost in the dark.

 

Artificial intelligence and big data

Exponential digitization creates exponentially more data – about everything and everyone. In parallel, the sophistication of the problems software can address, and the ability for software to learn and evolve itself, is advancing rapidly. This is built on the rise of big data for decision-making, and the influence that AI and robotics are starting to have on decision-making and jobs.

 

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