Today, data is disconnected. Data is fundamentally diverse, disparate and distributed. This has always been a challenge and it continues to be “the” challenge. Disconnected data is front and center, as enormous amounts of human effort and resource are expended in pursuit of creating human value from data. And it will continue to be “the challenge” for the future, even with advances in AI (such as deep learning) and the like.
The goal is simple in concept and difficult in practice. The goal - that which produces value for humanity - is connected data. Beyond just connected data, we also need organized and accessible data, and the means/tools to work with it. But fundamentally, it is about the connections you make with data - it is about putting the puzzle together for understanding.
I recently watched a presentation by the 14th Dalai Lama, Tenzin Gyatso, in which he made the...
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