Category Archives: Machine Learning

Intelligent Business Automation (IBA)

Posted on May 27, 2022 by decisionmanagementcommunity

The hype surrounding intelligent business automation is at all-time high. “Intelligent business process automation is the next evolution of BPM. BPM is a way to automate processes, which allows people and companies to be more efficient and effective when getting … Continue reading →

Posted in Business Processes, Case Management, Machine Learning | Leave a comment

Using Episodic Memories to Predict Upcoming Events

Posted on April 12, 2022 by decisionmanagementcommunity

This paper addresses an important problem in control of episodic memory to be used to predict upcoming states in an environment where past situations sometimes reoccur. One of the key benefits is reducing the risk of retrieving irrelevant memories. Read more

Posted in Decision Making, Decision Modeling, Event-driven, Knowledge Representation, Machine Learning | Leave a comment

Learning Jointly from Rules and Data

Posted on January 28, 2022 by decisionmanagementcommunity

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 →

Posted in Business Rules, Decision Modeling, Machine Learning | Leave a comment

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