Data Science for Modern Manufacturing

Global Trends: Big Data Analytics for the Industrial Internet of Things

Data Science for Modern Manufacturing

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The world’s leading nations are standing at the precipice of the next great manufacturing revolution—one in which the Industrial Internet of Things (IIoT) and big data analytics are already making a major impact. In this O’Reilly report, author Li Ping Chu shares insight from industry experts and explores recent manufacturing initiatives in China, Germany, and the US to provide a succinct, hype-free overview of related technologies and applications.

You’ll learn what government groups are doing to promote the Industrial Internet, the technologies that are the backbone of this digital revolution, and the challenges companies whose projects are based on networked machines must consider.

  • Learn how IIoT technology is revolutionizing the way manufacturing gathers and processes data
  • Examine the Industrial Internet Consortium’s mission to identify, assemble, and promote best practices
  • Delve into Germany’s Industrie 4.0 IIoT platform and China’s government initiative Made in China 2025
  • Explore IIoT approaches to using technology such as Hadoop and Spark, AWS Cloud Services, GE Predix, and Siemens Sinalytics
  • Learn about other technologies that will shape industry, including: autonomous robots, simulation, additive manufacturing, and augmented reality

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Li Ping Chu

Ping Chu is a veteran software developer of the Silicon Valley tech boom. With 15 years of working experience ranging from five-person startups to consulting for major financial firms like Charles Schwab, and major e-tailers like The Gap and Williams-Sonoma, he has been involved with projects of all kinds and all sizes. He is currently located in Taipei where he most recently helped build an analytics engine for a local mobile gaming company. He loves dogs and tolerates cats.