Author Archives: decisionmanagementcommunity

Gartner’s Magic Quadrant for Metadata Management Solutions

On Oct 16 Gartner published a new “Magic Quadrant for Metadata Management Solutions“.  Metadata management is an aspect of an organization’s management of its data and information assets. The term “metadata” describes the various facets of an information asset that … Continue reading

Posted in Business Processes, Business Rules | Leave a comment

AI-Driven Decision Making

This HBR’s article “What AI-Driven Decision Making Looks Like” discusses the evolution of decision-making. Here are the stages: A decision-making model based on human judgement Data-supported decision making A decision-making that utilizes AI A decision-making that combines the power of … Continue reading

Posted in Artificial Intelligence, Decision Making, Human-Machine Interaction | Leave a comment

New Vendor’s Corner

Following the initiative of DecisionCAMP-2019, we decided to introduce a Vendor’s Corner where all BR&DM vendors may share their latest news. If you represent a vendor of Business Rules and Decision Management tool, feel free to send your latest news to … Continue reading

Posted in Decision Modeling, Rule Engines and BRMS, Vendors | Leave a comment

Breakthrough in Google Search

On Oct. 25 Pandu Nayak, Google Fellow and Vice President of Search, published an article “Understanding Searches Better Than Ever Before“.  “Search is about understanding language. The latest advancements from our research team in the science of language understanding–made possible … Continue reading

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

7 Reasons to use AWS Lambdas

Most Major Languages Are Supported You Only Pay for What You Use There’s No Infrastructure to Manage You Can Edit Directly Online It Uses Environment Variables It Connects to API Gateway and Other Connection Points You Can Run AWS Lambdas … Continue reading

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Chaining Machine Learning and Optimization Models

In this article Nathan Brixius describes three relationships between optimization and machine learning: Optimization as a means for doing machine learning Machine learning as a means for doing optimization Using the results of machine learning as input data for an … Continue reading

Posted in Machine Learning, Optimization | Leave a comment

Challenge Nov-2019 “Numerical Haiku”

We’ve just published a new challenge “Numerical Haiku“.  Here is an example of a traditional Haiku poem: (5) The sky is so blue. (7) The sun is so warm up high. (5) I love the summer. A Japanese haiku is a three-line poem with … Continue reading

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