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 can improve its usability throughout its life cycle. While it does not directly mention Decision Management and its vendors, it includes:

  • Business glossary — A repository used to communicate and govern an enterprise’s business terms, along with the associated definitions and the relationships between those terms
  • Rules management — Automates the enforcement of business rules that are tied to data elements and associated metadata. This capability supports dedicated interfaces for the creation of, and the order of execution and links with, information stewardship for effective governance.
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 AI and human judgement  Link
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 decisionmanagementcommunity@gmail.com. The news should include: a product/feature image, 1-2 sentences, and a link that describes your latest achievement.

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 by machine learning–we’re making a significant improvement to how we understand queries, representing the biggest leap forward in the past five years, and one of the biggest leaps forward in the history of Search.”  Link

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

7 Reasons to use AWS Lambdas

  1. Most Major Languages Are Supported
  2. You Only Pay for What You Use
  3. There’s No Infrastructure to Manage
  4. You Can Edit Directly Online
  5. It Uses Environment Variables
  6. It Connects to API Gateway and Other Connection Points
  7. You Can Run AWS Lambdas Locally                                        Link
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Chaining Machine Learning and Optimization Models

In this article Nathan Brixius describes three relationships between optimization and machine learning:

  1. Optimization as a means for doing machine learning
  2. Machine learning as a means for doing optimization
  3. Using the results of machine learning as input data for an optimization model. Link
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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 seventeen syllables, written in a 5/7/5 syllable count style. Continue reading

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