Archive for Prescriptive Analytics

Lots of IIoT, Analytics and, Yes, Even Some Talk of Drones at ARC Forum

Having just come off the high of attending a record turnout at the 21st ARC Industry Forum I wanted to summarize some of the key highlights on IIoT and analytics that I saw (would be interested to learn what others’ takeaways were) in Orlando during the week of February 6th through 9th. There was just […]

Read More →

Distributed Analytics Forecast: Partly Cloudy with a Chance of Fog

Distributed energy showcases the role of advanced analytics Distributed energy continues to be a major focus for many utilities around the globe. That was certainly the case last week in San Diego at the electric utility industry’s major tradeshow for transmission and distribution, DistribuTECH 2017. As it was last year, one of the major themes […]

Read More →

Blurred Lines Between Predictive and Prescriptive Analytics

Industrial companies have been using a form of prescriptive analytics for quite some time, particularly for maintenance and field service. Though rarely ever explicitly referred to as “prescriptive,” historic performance analytics—descriptive and diagnostic—are just that when they are underpinned with a knowledge base (and often automation) that enables a company to apply rear-view mirror prescriptive […]

Read More →

The Promise of Cognitive Computing

Since the beginning of modern times, industry has been challenged with applying expertise consistently throughout the organization. Demographic trends and new technological advances promise to challenge the way industry approaches business. To stay competitive, industrial organizations will need to embrace new applications like cognitive computing, or simulating human thought processes in a computerized model. Consistent […]

Read More →

Data Scientist and Subject Matter Expert Roles in Predictive Analytics

In almost every conversation we have with end users looking for predictive analytics solutions, they consistently raise a point of concern, indicating they, “don’t want to have to hire a bunch of data scientists.” Fair point. In a time of “do more with less” thinking, adding head count, whether via full-time employees (FTE) or omnipresent […]

Read More →