In Analytics, Internet of Things

Except for smart electricity meters (if your house even has one), the Internet of Things is likely not invading the average home in the near future. Individual consumers are having a hard time justifying connecting their refrigerators and dishwashers to the Internet.

On the other hand, the Internet of Things is likely already up and running in your workplace and your city. For years now, cities and industries have been cutting costs and improving service by connecting their processes to the Internet. Consider these uses:

  • As this Venture Beat blog points out, a GE jet engine generates 500 GB of data per flight. Fly a four-engine plane, that’s 2 TB of data. Think about that on your next business trip.
  • In areas with toll road and toll bridges, planners and researchers use data from toll payment transponders to study traffic volumes and patterns.
  • Harley-Davidson has connected the machinery and systems in its York, PA manufacturing plant to automate workflows and optimize production systems without human intervention.
  • Accenture report that Apache Corporation, an oil and gas company, is using IoT approaches to predict and avoid pump failures that reduce production.

Some have taken to calling this the phenomenon the Industrial Internet of Things. There’s even an industry consortium.

It’s in this industrial arena, and not your house, that situational intelligence shines. Situational intelligence excels at analyzing and visualizing multiple, disparate silos of data. Companies and cities are where you’ll find those silos of data.

This isn’t to say that individual consumers won’t benefit from the Internet of Things. Fewer traffic jams, more reliable service, higher quality products, better environmental protection—all are possible using situational intelligence to analyze and visualize data from the Industrial Internet of Things.

Recommended Posts

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.