Decision Management Solution Blog
Decision Modeling and IBM Operational Decision Manager
IBM yesterday announced that Operational Decision Manager v8.10 (ODM – IBM’s Business Rules Management System) will be available in December and will support decision modeling. This is great news as it will bring the Decision Composer functionality IBM has been developing into the main business user interface for ODM, Decision Center. We’re big fans of decision […]
Don’t bite off more AI than you can trust
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 decision-making AI (an extension of predictive analytics and machine […]
Personalizing Insurance Marketing with Decision Management
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 there are those who see personalization—reaching customers with targeted messaging, offers, and pricing at just the […]
Delivering the Business Value of 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, especially predictive analytics, into frontline systems and business processes. Work with a number of global companies has revealed […]
Adopt Decision Modeling for DecisionsFirst Analytic Success
Add decision modeling and a DecisionsFirst approach to analytics to this established AI Solution Decomposition Process to make it more effective.
Don’t Use Executable Decision Models – Part 4
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 challenges of reuse and maintenance with an executable model, and Part 3 outlined how executable […]
Don’t Use Executable Decision Models – Part 3
This is the third of four posts in my series on why not to use executable decision models. Part 1 discussed the difficulty in sustaining business user engagement when using executable models, and part 2 outlined the challenges of reuse and maintenance with executable models. Reason #3: Analytics and AI We are using decision models to […]
Don’t Use Executable Decision Models – Part 2
This is the second in my series on why not to use executable decision models. Part 1 discussed the importance of business user engagement and the challenges posed by executable decision models. Reason #2: Maintenance Most tools and methodologies focused on executable models are focused on getting to version 1, not on maintenance. This is, […]
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