InsightaaS: Over the past several months, we’ve notices some subtle but interesting shifts in IoT discussions. One has been the increasing use of the term “data lakes” to describe (according to WhatIs.com) are “any large data pool in which the schema and data requirements are not defined until the data is queried. The other, and more important, development has been the increased emphasis on “the Industrial Internet” rather than IoT. Generally associated with GE, the phrase Industrial Internet is used to describe the data generated from connected industrial systems, and is generally differentiated from IoT Big Data by user community: when Industrial Internet data is used to describe data that helps field workers to improve the performance of industrial systems, IoT Big Data is positioned in contrast as information that helps white collar workers to make strategic decisions.
In this article, Vinnie Mirchandani – core member of the Enterprise Irregulars and frequently-cited IT expert – discusses impressions from a recent day spent with GE. To be honest, the post itself is somewhat scattered. What’s important, though, is the scope of industrial internet activity that Mirchandani highlights in the piece: he cites examples from aviation, city infrastructure (street light grids), healthcare (CT scan data), transportation (locomotives), energy (wind turbines), and industrial plants (compressors and pipelines). In stark contrast to IoT discussions which often reference data from social media, Mirchandani brings attention to “dull, dirty, dangerous data from the field, the lab and the shop floor.” This may make the Industrial Internet seem a bit gritty when compared to the bright promise of IoT – but it is part of the same general discussion, and is of critical interest and importance in its own right.
Rajesh Gill, Group Chief Pilot Technical and Efficiency at AirAsia, shared his version of “data visualization” at GE’s annual Minds+Machines day in New York. He expresses to fellow pilots the impact of certain maneuvers such as shutting down an engine while taxiing to the gate as savings in “pints of Guinness”. AirAsia is one of the most efficient airlines in the world (cost of 2.5c per available seat mile compared to more than 10c for most US airlines) and is constantly looking for small fuel and other improvements.
At lunch with him and several executives from GE Aviation, there was plenty of talk of our favorite and not-so-favorite international carriers and airports. But even more fascinating was the talk of analytics around continuous descents, the huge amount of flight operations data GE’s sub Austin Digital has access to, the economics of meal service on flights, the NOCs airlines run and the complex scenarios they simulate for weather and other other system-wide disruptions.
During a break I ran into Almis Udrys and talked to him about City of San Diego’s use of GE’s LightGrid technology and analytics to manage the LED street lighting. We talked about smart parking, video analytics and other apps many local governments are trying out…
Read the entire post on the Enterprise Irregulars blogsite: Link
