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 […]
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 […]
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 […]
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 […]
Add decision modeling and a DecisionsFirst approach to analytics to this established AI Solution Decomposition Process to make it more effective.
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 […]
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 […]
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, […]
Here at Decision Management Solutions, we are big believers in decision models using the DMN industry standard notation. We’ve modeled over 3,000 decisions around the world and we’ve trained over 1,000 people in decision modeling. We use decision modeling on all our projects and have done since 2011, before there was a standard. We use […]
Jim Sinur of Aragon Research just released a new report: Decision Management Platforms Sharpen Decision Outcomes for Enterprises An organization’s ability to execute superior decisions will be a huge differentiator in today’s ever-changing business environment. Currently, enterprises are faced with the challenge of making faster decisions, despite the limited skill base to assist more frequent […]