Author Archives: decisionmanagementcommunity

Real-Time Decision-Making

How does your Decisioning Platform support real-time decision-making? Coolfire: “In order to make real-time decision-making a core organizational capability, it’s time for organizations of all kinds to invest in a platform designed to make their data actionable. That means utilizing a … Continue reading

Posted in Decision Making, Digital Decisioning, Event-driven, Reactive Rules | Leave a comment

Challenge Sep-2020: Compressing Decision Tables

Using common sense people can replace larger decision tables with smaller ones. However, when a decision table includes more attributes (columns), the manual compression of the decision table becomes difficult or impossible even if you allow a certain level of … Continue reading

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How to Evaluate Performance of Machine Learning Models

A new post in KDnuggets explains “How to Evaluate the Performance of Your ML Model“: “You can train your supervised machine learning models all day long, but unless you evaluate its performance, you can never know if your model is … Continue reading

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How AI Will Automate 70% Of Software Development

On Sep 24 at noon EST Mike Gualtieri, VP/Principal Analyst at Forrester and our Keynote Speaker at DecisionCAMP-2019, will run the webinar “The Future of Software Development“. Mike asserts that “70% of business software is non-creative and doesn’t require computer-genius … Continue reading

Posted in Decision Modeling | Leave a comment

Self-Learning Decision Models

The next monthly DecisionCAMP session with this topic is scheduled to run on Sep 4 at 12:00 PM EST – get a Zoom URL at our Slack channel. Here is the abstract: “A new open source RuleLearner.com is oriented to business … Continue reading

Posted in Decision Modeling, DecisionCAMP, Machine Learning | Leave a comment

Understanding the business problem is the biggest challenge

The new TechCrunch’s post states: “The most important question in data science is not which machine learning algorithm to choose or even how to clean your data. It is the questions you need to ask before even one line of … Continue reading

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Too many AI researchers think real-world problems are not relevant

MIT Technology Review published an article with this title. “Many machine learning papers that describe new applications present both novel concepts and high-impact results. But even a hint of the word “application” seems to spoil the paper for reviewers. As … Continue reading

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Intuit Tax Knowledge Engine

Intuit just published a technical overview of their new Tax Knowledge Engine, the key innovation to make TurboTax smarter and more personalized for 37M+ consumers. First they listed key limitations for the traditional approach that are common for many rules-based … Continue reading

Posted in Artificial Intelligence, Business Rules, Explanations, Human-Machine Interaction, Knowledge Representation, Logic and AI | Leave a comment

Common Misconceptions About Analytics

In her Aug 14 post, Cassie Kozyrkov, the Head of Decision Intelligence at Google, analyzes three common misconceptions about analytics: Analytics is statistics. (No.) Analytics is data journalism / marketing / storytelling. (No.)  Analytics is decision-making. (No!) and then describes … Continue reading

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Champion/Challenger and Operational Negation

In May Stacey West from FICO took a thorough look at Champion/Challenger strategies testing and how it can be successfully implemented to enhance your organisation’s decisions. In her new post she is discussing how Champion/Challenger strategies may become unreadable because … Continue reading

Posted in Decision Modeling, QA, Testing | Leave a comment