Category Archives: Machine Learning

Semantic Rules & Machine Learning

Posted on November 25, 2021 by decisionmanagementcommunity

Dr. Walid Saba discusses the limitations of the data-driven, statistical and machine learning (ML) approaches that are the currently dominant paradigm in the use of natural language processing (NLP) in text analytics. Using very simple examples, he argues that these … Continue reading →

Posted in Knowledge Representation, Logic and AI, Machine Learning, Natural Language Processing | Leave a comment

ML has a proof-of-concept-to-production gap

Posted on May 19, 2021 by decisionmanagementcommunity

Andrew Ng: “All of AI, not just healthcare, has a proof-of-concept-to-production gap. The full cycle of a machine learning project is not just modeling. It is finding the right data, deploying it, monitoring it, feeding data back [into the model], … Continue reading →

Posted in Decision Modeling, Machine Learning | Leave a comment

Machine Learning vs. Knowledge Acquisition

Posted on May 4, 2021 by decisionmanagementcommunity
Posted in Artificial Intelligence, Knowledge Representation, Machine Learning | Leave a comment

Everything old is new again

Posted on April 21, 2021 by decisionmanagementcommunity

Prof. Gene Freuder writes about Human-Centered AI: “human-centered”, “human-aware“, “human-AI collaboration” are, rightly, very prominent nowadays. But “everything old is new again”: I ran across an interesting twenty-year-old paper from the European Journal of Operational Research on Human centered processes and decision support … Continue reading →

Posted in Business Rules, Constraint Programming, Decision Making, Human-Machine Interaction, Machine Learning | Leave a comment

Improving code vs improving data quality

Posted on April 7, 2021 by decisionmanagementcommunity

Andrew Ng: “Traditional software is powered by code, whereas AI systems are built using both code (models + algorithms) and data. When a system isn’t performing well, many teams instinctually try to improve the code. But for many practical applications, … Continue reading →

Posted in Machine Learning | Leave a comment

Can Your Machine Learning Do the Lambada?

Posted on March 31, 2021 by decisionmanagementcommunity

Ulrich Wiesner from FICO wrote: “Machine learning and data analytics are powerful methods, but typically the benefits do not come without effort, and careful considerations are required to make these tools efficient. When you purchase a tool or service, make … Continue reading →

Posted in Decision Modeling, Machine Learning | Leave a comment

Why a YouTube Chat About Chess Got Flagged for Hate Speech

Posted on March 4, 2021 by decisionmanagementcommunity

This WIRED article talks about shortcomings in AI programs designed to automatically detect hate speech, abuse, and misinformation online. When WIRED fed some of statements gathered by the CMU researchers into two hate-speech classifiers, the statement “White’s attack on black is … Continue reading →

Posted in Artificial Intelligence, Machine Learning, Natural Language Processing | Leave a comment

AI is not equal to ML

Posted on January 11, 2021 by decisionmanagementcommunity

Alain Chabrier from IBM Decision Optimization team in his Medium.com article argues that not only “AI != ML” pointing to the difference between Data-driven and Knowledge-driven decision models. He even claims that “Decision Optimization has more impact on the real … Continue reading →

Posted in Artificial Intelligence, Business Analytics, Decision Optimization, Machine Learning | Leave a comment

Recent Advances in Google Translate

Posted on December 20, 2020 by decisionmanagementcommunity

Google Translate was introduced in 2016 and it enabled great improvements to the quality of translation for over 100 languages since then. In this post Google Research describes how recent advances in machine learning drive improvements to automated translation. Link

Posted in Artificial Intelligence, Languages, Machine Learning, Natural Language Processing | Leave a comment

Pragmatic Approach to Predictive Decision Automation

Posted on December 10, 2020 by jacobfeldman

In this webinar Red Hat specialists explain how explainable Predictive Decisioning can help us trust AI. Their  approach combines AI/ML, decision optimization, and traditional business rules to better understand the factors that contribute to an automated decision. They use the … Continue reading →

Posted in Artificial Intelligence, Decision Making, Decision Modeling, Decision Monitoring, Decision Optimization, Machine Learning | Leave a comment