Managing the Next Best Activity Decision
UPDATE Treating customers right, every time. No matter what the context or channel, Next Best Activity allows organizations to optimize each and every decision across the customer lifecycle – from customer acquisition to cross and up-sell, retention, customer service and more. Learn more in this whitepaper sponsored by KXEN.
Modernizing Credit Risk
Automated Credit Risk strategies began to emerge in the 1970s and 1980s. Back then, decision trees were the standard automation approach. Combined with procedural rule flows, if-then rules and scorecards, increasingly complex credit risk strategies were implemented. It became clear that these approaches didn’t scale well and that using them to automate a modern credit […]
Operationalizing AI: Beyond AI Pilots with Digital Decisioning
Businesses are made or broken by the quality of the decisions they make. How well does this offer target this customer? Does this machine need to be serviced now or can it wait? Is this transaction legitimate or suspicious? Will this customer make the payment they have just promised? The quality of these and many […]
Decision Modeling for Business Rules Projects
In our latest white paper, we explore the tools and techniques needed for scoping and managing business rules projects. The decision management approach to business rules begins by looking at business performance drivers, identifying the decisions that are impacting them, then analyzing what decisions will have the biggest return.
Building an AI Enterprise
In this white paper, we outline best practices for using AI to improve individual transactions and customer interactions. We consider the challenges and opportunities of AI, how AI can be applied to decision-making, why it’s essential to shape AI projects around business decisions, and how striving to make continual improvements can optimize decision-making. In addition, […]
Agility and Efficiency with Decision Modeling
Decision modeling is the proven requirements gathering and documentation approach that bridges the gap — between business process, business rules, and artificial intelligence (AI), machine learning, and predictive analytics technologies — for true Digital Decisioning.
How to Succeed with AI
AI is a decision-making technology. A focus on decisions, not a separate AI initiative, delivers business value and a strong ROI. As companies invest in artificial intelligence (AI) and machine learning, it is clear that a technology-led approach does not work. To get business value from AI, companies should focus AI efforts on improving business […]
Enabling the Predictive Enterprise
Today it seems that everyone is talking about Predictive Analytics and Machine Learning. Organizations of every size and in every industry are investing to compete in this new world. For most organizations this means adopting new analytic capabilities. Most organizations have BI capabilities such as reporting, dashboards and performance monitoring. However, today’s business needs more […]
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