Monthly Archives: April 2022

AI in Decision Domain 

An interesting discussion has started by this LinkedIn post: Typically, we analyze data and models from the operational domain. However, no amount of crunching on this data will reveal opportunities for decision advantage – because there is no information about … Continue reading

Posted in Artificial Intelligence, Decision Making, Decision Modeling, Human-Machine Interaction, Insurance Industry, Knowledge Representation | Leave a comment

Decision Services Handling Large Payloads

Posted in Business Rules, Business Processes, Architecture, Microservices, DecisionCAMP, Cloud Platforms, Event-driven | Leave a comment

Digital Twins and Digital Decisioning

The term Digital Twin was coined in 2014 in the context of manufacturing as a digital factory replication. Recently it becomes more and more popular in the context of knowledge representation for different business domains. Today a digital twin is … Continue reading

Posted in Trends, Digital Transformation, Business Processes, Digital Decisioning, Manufacturing | Leave a comment

When to Automate Decisions

A new article about decision automation in AI Building Blocks: “So far there is no unified decision method that can fit the puzzle of decision-making in organizations. For strategic and tactical decisions, practitioners continue relying on optimization and statistics but … Continue reading

Posted in Decision Making, Digital Decisioning, Digital Transformation | Leave a comment

DecisionCAMP Session on April 20, 2022

Date: Wed, Apr 20, 2022 at 12:00pm EST (New York Time)Title: “Decision Services Handling Large Payloads“Presenter: Dr. Jacob Feldman, OpenRules, Inc. Abstract: In this session Jacob will share OpenRules experience building decision services capable to handle huge payloads with sound performance. He will describe … Continue reading

Posted in Cloud Platforms, DecisionCAMP, DevOps, Events, Microservices | Leave a comment

Using Episodic Memories to Predict Upcoming Events

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

Developing Developers

“I can teach someone the Python language in a week. I can’t teach them how to program in Python in a week unless they are already a skilled programmer.” Brian Jones Our old friend Brian Jones published an interesting article “Developing Developers“. Here is … Continue reading

Posted in Software Development | Leave a comment