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 decision making in the data. To leverage AI to “gain time and space for decision-makers,” we must get AI into the decision domain — by modeling decision making, analyzing how we make decisions and our decision models, and computationally describing the connections between operations and decision making.” Don’t miss various comments. Link

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

Decision Services Handling Large Payloads

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Posted in Architecture, Business Processes, Business Rules, Cloud Platforms, DecisionCAMP, Event-driven, Microservices | 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 a virtual representation that serves as a digital counterpart of an object or process. Some industry analysts speculate it could continue to rise sharply climbing to an estimated USD 48.2 billion by 2026. It is only natural to assume that Digital Decisioning should be the technology of choice for creation essential components of various digital twins. If you know about such use cases, please share them with our readers.

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Posted in Business Processes, Digital Decisioning, Digital Transformation, Manufacturing, Trends | 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 with the explosion of data, they are integrating more machine learning techniques. For expert decisions and operational decisions, they use decision trees, decision graphs, rules, and machine learning.” Link

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.

AbstractIn this session Jacob will share OpenRules experience building decision services capable to handle huge payloads with sound performance. He will describe how putting a decision service into a cloud-based environment supporting parallel execution allowed a large US corporation improve the performance 100 times! Register for free Watch Recording

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

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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 an extract: The idea that coding was “mechanical” led to the offshoring movement and the claim that we don’t need programmers because “coding is a monkey task and we’ve got hundreds of coders who can code what they are asked for.” It didn’t work. I always asked the question “Where will you get people to give the coders good designs?” The answer was always “Our senior people.” The obvious question “Where will you get senior people when you have cut off the pipeline of programmers?” always went unanswered. Link

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Businesses Require Better Goal Management

Jim Sinur: “Better goal management requires a new level of transparency and communication capabilities than in the past and follows a consistent goal cycle. While there still will be the issue of variations by legal system and location, the adaptation of staff and automation will have to be faster and sharper than in the past. While there will still be steady-state goals and boundaries periods, the change increases its velocity. What are the foundations for goals in a changing world? This post will dig into the primary foundations around goals.” Link

Posted in Business Analytics, Business Processes, Business Rules, Digital Decisioning | Leave a comment

DecisionCAMP-2022 Update

Dates: Sep 26-28 Online

The website is up and running. Free registration

Call for Presentations – send a brief abstract by July 10

Keynote: “The Evolution of Decisioning in IT, and What Happens Next” by Paul Vincent

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DMN in Python

We received this email from Russell McDonell: “As a Python developer, I was interested in using DMN within my Python applications. Specifically I wanted to use DMN in clinical decisions using FHIR and cds-hooks. So I developed pyDMNrules (gitHub repository) which is based upon a Python implementation of FEEL – pySFeel (gitHub repository). Its rule input is an Excel workbook where the rules tables have to ‘look’ like the examples in the DMN specification (double line borders).”

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