AI News, What The Go Computer Battle Can Teach Us About Big Data

What The Go Computer Battle Can Teach Us About Big Data

Much attention has rightly been given to the remarkable accomplishment of the Google team, whose use of deep neural networks combined with an advanced tree search algorithm was brilliant and a mark in the history of computer science.

As someone who is familiar both with the culture of Go and deeply immersed in big data, another technology front where achievement grows by leaps and bounds, I was impressed, but also deeply struck by parallels between the two worlds and the negative implications of some of those similarities.

Rather than an exclusive cadre of data scientists locked away in a clean room working to capture a one in a million insight, it is more effective to train as many people as possible to experiment for themselves.

This democratization of big data using increasingly accessible tools is a smart investment in the entire business that breeds a culture of far-reaching inquiry that can make more flexible and innovative use of big data than any three PhDs in a room full of servers can achieve on their own.

The way to reap victories from big data is to create a culture where everyone can experiment and become big data literate, with each person bringing his or her unique perspective and creativity to bear on solving business problems.

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