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Category Archives: Business Analytics
Nuts and Bolts of Deep Learning
Deep Learning has been the core topic in the Machine Learning community the last couple of years. You may read “The major advancements in Deep Learning in 2016” to go through the advancements contributed the most (or have the potential) … Continue reading
Predictions always contain errors!
We are all well aware of the predictive analytical capabilities, however, it remains important to stress that the outcome of a prediction model will always contain an error. Decision makers need to know how big that error is. “Now that … Continue reading
Posted in Business Analytics, Trends
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What does Leo Tolstoy’s War and Peace have to do with Decision Analytics?
“While Leo Tolstoy’s War and Peace is a critically acclaimed story of life, love, and loss, for even the most avid bookworms the thought of reading this lengthy tome from start to finish is more of a millstone than a milestone. Indeed, … Continue reading
Business Processes Are Learning to Hack Themselves
Automated process change comes in three main flavors: self-adapting, self-repairing, or a combination of the two. Some organizations are already deploying elements of process change automation using machine learning, while others are developing technologies that lay the foundation for it. … Continue reading
Posted in BPM, Business Analytics
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Explanations for Human-Aware Artificial Intelligence
Prof. Eugene Freuder will present position papers “Explanations for Human-Aware Constraint Programming (CP)” and “CP and AI” at CP 2016 on Sep 5-9 at Toulouse, France. “A key aspect of human-awareness is the ability of our machines to explain their behavior and … Continue reading
Posted in Business Analytics, Decision Optimization, Events, Explanations, Trends
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Addressing Bottlenecks with Theory of Constraints
This 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 … Continue reading
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 … Continue reading
Posted in Business Analytics, Trends
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Managing Structured and Unstructured (Tacit) Knowledge
Ron 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 … Continue reading
Posted in Business Analytics, Trends
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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 … Continue reading
Posted in Business Analytics
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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 … Continue reading
Posted in Business Analytics, Explanations, Trends
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