The End of Windows?

The Windows division no longer exists at Microsoft following  the last week’s announcement. “The story of Windows’ decline is relatively straightforward and a classic case of disruption: 1) The Internet dramatically reduced application lock-in; 2) PCs became “good enough”, elongating the upgrade cycle; 3) Smartphones first addressed needs the PC couldn’t, then over time started taking over PC functionality directly.” Read more

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It’s time to trade rule technology for state of the art AI?

Five years ago Paul Haley expressed his frustrations with production rule technology (to which he was one of the major contributors) because of its inability to perform deduction. He wrote that rule vendors should stop “dressing up a procedural  language!” – see his Confessions of a production rule vendor Part 1. Yesterday Paul published Confessions of a production rule vendor Part 2. The bottom line of his article:

It’s time to trade rule technology dating back to the 80’s for state of the art AI.

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Posted in Artificial Intelligence, Business Analytics, Rule Engines and BRMS, Semantic Web, Trends | 1 Comment

Emmanuel Macron about AI and GAFA

Emmanuel Macron, the president of France, laid out a new national strategy for artificial intelligence in his country. The French government will spend €1.5 billion ($1.85 billion) over five years to support research in the field, encourage startups, and collect data that can be used, and shared, by engineers. Continue reading

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Natural Intelligence by Paul Haley

Paul Haley just published a new article “Natural Intelligence“. He writes: Deep natural language understanding (NLU) is different than deep learning, as is deep reasoning. Deep learning facilities deep NLP and will facilitate deeper reasoning, but it’s deep NLP for knowledge acquisition and question answering that seems most critical for general AI.  If that’s the case, we might call such general AI, “natural intelligence”. Here are more quotes: Continue reading

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Challenge Apr-2018 “Up-Selling Rules”

Our Apr-2018 challenge asks DM practitioners to provide decision models  for up-selling rules, examples of which are presented in simple decision tables. As usual, you may extend this use case by sharing your real-world experience with up-selling and cross-selling rules.

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Business Rules Excellence Awards

BREA_logoDo you have an interesting Business Rules Use Case?  Submit it for the opportunity to win a highly prestigious award and publication in the next book on BR to be published within 12 months following the Awards Ceremony at BBC-2018. The Business Rules Excellence Awards are the ideal way to be recognized by the BR industry worldwide, to publicly acknowledge and recognize the efforts of your team and to inject passion into your projects.

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How Geologists Can Outwit Artificial Intelligence

Jun Cowan: “Using a simple geological example, I argue that geologists operate similarly to Columbo, a 1970s TV detective—inferring, continuously thinking, and asking tangential and often seemingly irrelevant and stupid questions about a clue that doesn’t quite fit into the whole picture. An AI machine, not even the powerful IBM Watson, would ask these questions because one or two clues are deemed statistical outliers. No amount of computer processing power, machine learning, or AI can fill the boots and brains of geologists trained in appropriate relevant skills who interpret disconnected data. At least, not in the foreseeable future.” Read more

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Management Decision Market – Global Forecast to 2022

management_decision_marketResearch and Markets published a report about the current and future state of the DM market. “The Management decision market size is expected to grow from USD 3.09 billion in 2017 to USD 6.18 billion by 2022, at a CAGR of 14.9% during the forecast period. The growth in the need for faster operational decisions and business agility, adherence to the increasing government compliance, and acceleration of return on investment for organizations are expected to drive the growth of Management decision market. The major factor that restricts the market growth is the resistance of middle management to adopt Management decision software.Continue reading

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Open the Machine Learning Black Box with Rule-based Decision Automation

ML+BR.signFrancis Friedlander from IBM just published an article with this title. In particular, it says: “Machine learning is best in class to derive customer insight from customer data. Rules consume customer insight and are best in class to make justified customer centric-decisions. Looking at these disciplines from this perspective highlights their complementarity and leads to the following pipeline:Continue reading

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What we know and what we do not know about DMN

A research with this title was published on 2018-03-22 by Prof. Jan Vanthienen and his colleagues. “The recent Decision Model and Notation (DMN) establishes business decisions as first-class citizens of executable business processes. This research note has two objectives: first, to describe DMN’s technical and theoretical foundations; second, to identify research directions for investigating DMN’s potential benefits on a technological, individual and organizational level. To this end, we integrate perspectives from management science, cognitive theory and information systems research.” Download the paper

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