by James Taylor | Sep 18, 2018 | AI, Decision Management, Decision Modeling
Many, most, companies are actively considering using AI in their business, but few are making much progress. Some of this is due to a poorly defined approach. Some is due to confusion as to what AI means – mixing conversational AI (a user experience technology) with...
by James Taylor | Aug 29, 2018 | Business Rules, Decision Automation, Decision Management, Decision Modeling, Digital Business, Insurance, Marketing, Predictive Analytics
A key way for insurers to respond to disruption in the insurance market is to more effectively personalize their marketing. Targeting prospects and especially customers with unique, personalized messages is a way for traditional carriers to be “disruptive”. Indeed...
by James Taylor | Jul 20, 2018 | Big Data, Decision Management, Decision Modeling, DMN, Predictive Analytics
Learn three critical success factors in delivering business value from your advanced analytics investments. Many organizations still struggle to get a business return on their investment on advanced analytics. The biggest barrier? An inability to integrate analytics,...
by James Taylor | Jul 10, 2018 | AI, Decision Management, Decision Modeling, Predictive Analytics
Bill Schmarzo wrote a great post on 6 steps to AI Success recently. He identified 6 steps in what he called the AI Solution Decomposition process that work for analytic and AI projects. This is almost exactly the same process we use on projects and you should read the...
by James Taylor | Jun 28, 2018 | AI, Decision Management, Decision Modeling, Predictive Analytics
This is the final part in my series on why we don’t recommend using executable decision models. Part 1 discussed the problem of additional model technical complexity required for executable models, resulting in business users disengagement. Part 2 detailed the...
