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GE's big bet on data and analytics

  • Autores: Laura W. Winnig
  • Localización: MIT Sloan management review, ISSN 1532-9194, Vol. 57, Nº 3, 2016, págs. 5-5
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • While many software companies like SAP, Oracle, and Microsoft have traditionally been focused on providing technology for the back office, General Electric (GE) is leading the development of a new breed of operational technology (OT) that literally sits on top of industrial machinery. Long known as the technology that controls and monitors machines, OT now goes beyond these functions by connecting machines via the cloud and using data analytics to help predict breakdowns and assess the machines overall health. GE executives say they are redefining industrial automation by extracting lessons from the IT revolution and customizing them for rugged heavy-industrial environments. One such environment is the oil and gas industry, where GE sees a $1 billion opportunity for its OT software. In September 2015, GE projected its revenue from software products would reach $15 billion by 2020 three times its 2015 bookings. While software sales today are derived largely from traditional measurement and control offerings, GE expects that by 2020, most software revenue will come from its Predix1 software, a cloud-based platform for creating Industrial Internet applications. GE wants to go beyond helping its customers manage the performance of individual GE machines to managing the data on all of the machines in a customers entire operation.


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