July 2017
Intermediate to advanced
68 pages
1h 28m
English
Content preview from Implementing a Smart Data Platform
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Chapter 1. The Advent of the Smart Data Era
The data we collect has experienced exponential growth, whether we get it through our PCs, mobile devices, or the IoT, or from tools for ecommerce or social networking. According to the IDC Report, global data volume reached 8 ZB (or 8 billion TB) in 2015 and is expected to reach 35 ZB in 2020, with an annual increase of nearly 40%. And according to TalkingData, in 2016 China was home to 1.3 billion smartphone users, accounting for tens of millions of wearable devices such as smart watches and over 8 billion sensors of different kinds. Smart devices can be seen nearly everywhere and generate data of various dimensions—anytime, anywhere.
Data accumulation has created favorable conditions for the development of artificial intelligence (AI). The training of machines with a huge amount of data may generate more powerful AI. For example, the game of Go (or “Weiqi” in Chinese) has been traditionally viewed as one of the most challenging games due to its complicated tactics. In 2016, Google’s program AlphaGo (with access to 30 million distributed data points and improved algorithms, accumulated by users after they played Go hundreds of thousands of times) defeated world Go champion Li Shishi, proving its No.1 Go-playing ability. In the previous two years, AI also witnessed explosive growth and application in the fields of finance, transport, medicine, education, industry, and more. It’s clear that the data accumulated by mankind has been used ...
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