AI

How to Succeed with AI – New Leading Practice Brief

To succeed with AI, focus on decisions, not a separate initiative. As companies invest in AI technologies, it is clear a technology-led approach does not work. To get business value from AI, companies should focus AI efforts on improving business decisions. A recent survey of executives adopting Artificial Intelligence (AI) provides critical context for companies […]

DMN had a great year and looking forward to 2018

Happy New Year! 2017 saw strong growth in decision management and decision modeling with DMN, especially in claims, underwriting, marketing and origination. Customers increasingly are choosing Decision Management to integrate advanced analytics, business rules and AI into their operational systems, and deliver consistent decisions across multiple applications and channels. There were also notable changes in how customers […]

How Enterprise Architects Enable Analytics and AI with Decision Management

Enterprise Architects partner with the business to help them take full advantage of the technologies that their organizations are using, or should be using, like advanced analytics and AI. They map technologies to the business requirements, and ensure that technologies are applied cost-effectively and for maximum business benefit.  But describing the benefits of these new […]

3 Critical Elements Webinar

3 Critical Elements of a Digital Business Platform: BRMS, Predictive Analytics and Decision Modeling

The webinar has taken place. The presentation and recording are available here. Successful digital programs extend their Digital Business Platforms with 3 critical elements: decision modeling, predictive analytics and business rules management (BRMS). Coordinating these technologies into a virtual decision hub, Decision Management automates and improves every digital interaction and delivers agile, data-driven, real-time outcomes. […]

Decision Modeling Brings Clarity to Analytics – New Podcast

The biggest challenge facing organizations adopting analytics is closing the gap between business value and analytics results. This is becoming increasingly serious as more organizations make investments in data mining, predictive analytics, data science, machine learning and all forms of analytics. Ensuring that these investments in analytics and analytic technology show a return means understanding how […]