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 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
Posted in Serverless | Leave a comment

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
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 seventeen syllables, written in a 5/7/5 syllable count style. Continue reading

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Java 13 delivers long-awaited multiline strings

Java 13 is making it easier for you to work with multiline string literals. For example,

Old String                                                                          New String

Posted in Java | Leave a comment