Does Real-World Decision Management Need Inference?

ReasonOrNotA set of recent articles by Paul Haley again brings attention to this important question. Paul insists that “It’s time to trade rule technology dating back to the 80’s for state of the art AI” and points that “BRMS are incapable of the functionality people naturally expect (e.g., robust inference)“. James Taylor insists that “People don’t expect robust inference, experts do 🙂 DMN coordinates business rules/tabular decision logic, predictive analytics, AI… and it seems to be working for 100% of problems“. Jacob Feldman wrote about importance of the integration of decision management and semantic reasoning. Continue reading

Posted in Artificial Intelligence, BPM, Decision Modeling, Events, Rule Engines and BRMS, Semantic Web | 2 Comments

Yann LeCun: What’s still Missing is Reasoning

This paper describes what Yann LeCun, Director of AI Research at Facebook, said about “power and the limits of deep learning.” LeCun talked about three types of learning as being like parts of a cake: reinforcement learning is the cherry on top, supervised learning the icing, and predictive learning is the main part of the cake. While the current wave of AI has focused on deep learning, what’s to come is “perception,” with the biggest examples being applications such as medical imaging and self-driving cars. Though perception “really works,” what’s still missing is reasoning. Read more

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Digital Ads Spending Surpassed TV

According to wiseGEEK, in 2017, for the first time ever, global spending on digital advertisements surpassed spending on television ads. It took a while for advertisers to embrace the promise of digital media, but a milestone was reached in 2017. That’s when advertisers spent more on digital ads than on traditional TV marketing. Digital ad spending totaled $209 billion USD worldwide in 2017, or 41 percent of the market, compared to $178 billion USD spent on TV. And estimates show that the gap is expected to get even larger.

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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.

Continue reading

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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