Challenge Aug-2016: Greeting a Customer with Unknown Data

challengeyourselfWe expect BR&DM vendors will provide their solutions to our Aug-2016 Challenge “Greeting a Customer with Unknown Data“. This is a variation of the “Hello World!” use case when a decision model automatically generates greetings like “Good Morning, Mrs. Robinson!” doing its best based on the information it can get about the calling customer. Continue reading

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Addressing Bottlenecks with Theory of Constraints

ToCThis presentation describes how to improve organizational performance using The Theory of Constraints created by late Dr. Eli Goldratt and explained in his book, The Goal.  The thought behind Theory of Constraints is that in every organizational system, there is one constraint that limits the flow of value. Similar to the weakest link in a chain, improvements to the rest of the chain don’t make it stronger. It explains why local optimization doesn’t help and that we need to use systems thinking.

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Move Application Development From Programming to Training

Rob Thomas and Jean-Francois Puget published an interesting article “A Practical Guide to Machine Learning: Understand, Differentiate, and Apply“. In particular,  they write:

Machine Learning  moves application development from programming to training: instead of writing new code, the application developer trains the same application with new data. This is a fundamental shift in application development, because new, updated applications can be obtained automatically on a weekly, if not daily basis. This shift is at the core of the cognitive era in IT.”

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Managing Structured and Unstructured (Tacit) Knowledge

KnowledgeAssetsFrameworkRon Ross today tweeted a quote from a very interesting Harvard Business Review’s paper Managing your Mission-Critical Knowledge: “Speeding up codification will increase the value of knowledge. But making the tacit explicit can also be dangerous. The more codified the knowledge is, the more easily it may be diffused and copied externally.” The  paper goes further by offering a conceptual framework (click on the picture on the left) for moving from tacit to explicit knowledge.  Continue reading

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Six Steps For Fast, Precise Decision-Making

Roy Schulte from Gartner in this Forbes article talks about real-time analytics that “enable faster, more precise and more effective decisions than conventional decisions made with stale data or no data. Think about how one poor decision at a telecommunications company could result in bad mobile phone service for the president of a large customer, and ultimately lead to a multimillion dollar contract being cancelled. Or, likewise, the consequences of making 100,000 bad $50 decisions.”

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Pokemon Go and the Traveling Salesman Problem

These days you may have heard stories of people hunting down Pokémon on their office desks, in hospital rooms, and even in bathrooms. Read about the brilliant mechanics of Pokémon Go. Do you want to catch them all? As quickly as possible? There is a math model for that called the Traveling Salesman Problem (TSP). There are many good TSP solvers that may check every possible route to pick out the shortest one. Read more

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Notes about DecisionCAMP-2016

DecisionCAMPDecisionCAMP/RuleML 2016 is now a history, and I’d say a very good history with a lot of very interesting mini-events. I will try to briefly describe some of them in these notes. This year the Decision Model and Notation (DMN) standard was in focus not only at DecisionCAMP but surprisingly at the RuleML as well (see its proceedings).
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Will EU Law Restrict Automated Decision-Making?

A new article EU regulations on algorithmic decision-making and a “right to explanation”
talks about the potential impact that the European Union’s new General Data Protection Regulation will have on the routine use of machine learning algorithms. Slated to take effect as law across the EU in 2018, the law will also create a “right to explanation,” whereby a user can ask for an explanation of an algorithmic decision that was made about them.

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DecisionCAMP-2016 Starts Next Week in New York

DecisionCAMP-2016 is around the corner. It will be held along with RuleML on July 7-8, 2016 at Stony Brook University, New York. It features presentations from leading decision management authorities, vendors, and practitioners. This event will summarize the current state of the Decision Management practice, the use of the DMN standard, real-world business cases, and supporting tools. See Website | Program | Authors | Presentations

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DMCommunity.org is now a BBC Blog Partner

Building Business Capability (BBC) is the major annual conference that provides insight into Business Analysis, Business Architecture, Business Process, Business Rules, Business Decisions, and Business Strategy & Transformation toward the pursuit of business excellence. DMCommunity.org became an official Blog Partner of BBC. As a result, our readers may receive 10% off the price of registration by using the discount code “DMC10”.

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