Category Archives: Business Analytics

Intelligent Automation?

An interesting discussion about Intelligent Automation has taken place at BPM.com. Just one quote: “I still find it difficult to put intelligent and automation together in one sentence without cringing. Even the most advanced commonly used RPA tools are, when … Continue reading

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eBay’s Platform is Powered by AI

“Artificial intelligence touches every experience within eBay. It is woven into all aspects of the eBay marketplace, anticipating the needs and wants of buyers and sellers, inspiring shoppers on the hunt for something special, empowering entrepreneurs looking to grow their … Continue reading

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SBVR Specification for the Organ Donation Challenge

Ron Ross submitted Rule Specification for the Organ Donation Challenge that is based on SBVR/RuleSpeak. “The first and foremost concern is the exact business semantics of the problem. The rule specifications presented below address that fundamentally important objective. The RuleSpeak/SBVR … Continue reading

Posted in Business Analytics, Business Rules, Challenges, Decision Modeling, Human-Machine Interaction, Innovation, Uncategorized | Leave a comment

Decision Management: What It Is and Why You Need It

Today Roy Schulte from Gartner ran the webinar “Decision Management: What It Is and Why You Need It” describing the state of the art in decision management and offering guidance on how to get started. Here are a few slides:

Posted in Business Analytics, Business Processes, Decision Modeling, Decision Models, DMN, Products | 1 Comment

Is Your Insurance Business Missing a Critical Decision Window When it Comes to AI?

Yesterday Craig Bedell from IBM’s Global Insurance Industry Leadership Team wrote: “I believe most insurance companies have hit a critical point in time with regards to their investments in analytics, innovation and even AI, where business leaders are measuring more … Continue reading

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Finding Optimal Locations of New Store using Decision Optimization

Vincent Beraudier, IBM, in his notebook describes how to model and solve the following business problem: “A fictional Coffee Company plans to open N shops in the near future and needs to determine where they should be located knowing that … Continue reading

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Statistical Methods with Domain-based Models

This WSJ article gives examples when ML-based solutions have been enhanced by the inclusion of pre-defined domain-specific models. “Machine learning is a statistical modeling technique, which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships. … Continue reading

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