Monthly Archives: January 2022

Learning Jointly from Rules and Data

Today’s post in Google AI Blog “Controlling Neural Networks with Rule Representations” introduces a novel approach that does not require machine learning models retraining to adapt the rule strength. In real-world domains where incorporating rules is critical – such as physics … Continue reading

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DMN 1.4 and Beyond

Denis Gagne, a member of DMN Task Force and the founder of Trisotech, presented the latest news in the DMN standard during the DecisionCAMP monthly session on Jan 25. Watch the recording at

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Decision Scientist vs Data Scientist

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Again about AI understanding

On Dec-2021 Melanie Mitchell published “What Does It Mean for AI to Understand“: “Remember IBM’s Watson, the AI Jeopardy! champion? A 2010 promotion proclaimed, “Watson understands natural language with all its ambiguity and complexity.” However, as we saw when Watson subsequently failed spectacularly in … Continue reading

Posted in Artificial Intelligence, Human-Machine Interaction, Knowledge Representation, Natural Language Processing | Leave a comment

Digital transformation fall out of favor?

Forrester Research will run a free webinar on Jan 26 at 2 pm ET and they promise to explain: Why “digital transformation” has fallen out of favor and what has replaced that outdated idea. How rising interest inaccessibility will give … Continue reading

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DecisionCAMP Session “DMN 1.4 and Beyond” on January 26, 2022

Date: Wed, January 26, 2022 at 12:00pm EST Title: “DMN 1.4 and Beyond” Presenter: Denis Gagne, Trisotech.  Abstract: In this session Denis will present a summary of the work done by the DMN 1.4 Revision Task Force (RTF) and open discussion on what … Continue reading

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