Forbes contributing author Dan Woods has published the first in a series of articles capturing his recent conversation with CEO Thomas Siebel.

The first article‚ How Tom Siebel Applies A Lifetime Of Learning At‚ summarizes Siebel’s perspective on the history and present state of enterprise software.

Article excerpts include:

  • At‚ we’re taking a step function of game changing technology – elastic cloud computing‚ big data‚ new social human computer interaction models‚ the Internet of Things‚ and AI – and pointing it at a new problem associated with predictive analytics‚ which is an entirely different way to think about computing. It’s really quite exciting.
  • One of the biggest technology vectors this century is the sensoring of value chains; that is‚ adding a level of detailed instrumentation never before possible or affordable. Automotive‚ healthcare‚ manufacturing‚ aerospace‚ travel/transportation – all of these value chains are being sensor-enabled so that the devices in the value chain are becoming remotely machine-addressable at very‚ very fine levels of granularity.
  • Take the power grid. We moved from the grid to the smart grid. The amount being spent this decade to sensor just that value chain is $2 trillion dollars worldwide. When you sensor one of these value chains‚ the amount of data increases by‚ in this case‚ nine orders of magnitude.
  • You can’t process that data using twentieth-century computation and communication technology. You need the elastic cloud. You need big data. You need AI.
  • We’re basically engaging in an entirely different type of computing associated with predictive analytics that was heretofore impossible. We can predict with high levels of precision‚ 80% or 90% precision‚ events that were heretofore unpredictable‚ like device failure‚ disease onset‚ and heart failure.


Read the full article: How Tom Siebel Applies A Lifetime Of Learning At