Author Archives: jacobfeldman

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About jacobfeldman

CTO at www.openrules.com http://www.linkedin.com/in/jacobfeldmanopenrules

Amazement Trumps Reason

Vincent Lextrait, the founder of METASPEX, published an article with this name. It is not about AI, but as Vincent mentioned, “I do not think I need to say what inspired that post.” This is a good story with personal … Continue reading

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One More Time About Declarativity

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Solutions for Oct-2025 Challenge “Decision with two objectives”

DMCommunity.org has already received five solutions for its Oct-2025 Challenge, which asks to help a web designer to select certain website features while satisfying budget and value constraints. What makes this simple problem interesting is that it involves two conflicting … Continue reading

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Making Operational Repetitive Decisions Under Uncertainty

While just completed DecisionCAMP-2025 was dominated by the integrated use of Generative AI (LLMs) and Symbolic AI (Rules, Machine Learning, Optimization), in my closing notes I concentrated on the topic of making repetitive operational decisions in the real-world, frequently uncertain environments. In this article, I … Continue reading

Posted in Decision Intelligence, Decision Making, Forecasting, Machine Learning, Optimization, Uncertainty | Leave a comment

Integrating Relational Databases and Decision Intelligence Platforms

This topic has been of interest to many rule engine vendors and practitioners for years. There was an interesting discussion about an integrated use of Business Rules and DB a year ago: https://lnkd.in/ecych49r What do you think today about the … Continue reading

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Not everything needs reinvention

“Sometimes innovation is just panic dressed as strategy.Sometimes marketing is just noise to distract from a lack of meaning.Sometimes chasing growth, valuations, market share etc. can make you forget why you started in the first place.” https://lnkd.in/eDXuiNvS

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“Decision Intelligence is AI for Grownups”

This phrase is often used to highlight how Decision Intelligence (DI) represents a more mature, pragmatic, and business-focused application of artificial intelligence. I asked Copilot why some people describe DI that way. See the answers at https://www.linkedin.com/feed/update/urn:li:activity:7352416233801060352/

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DecisionCAMP-2025 Program has been published!

This year, we received an overwhelming number of submissions from Decision Intelligence professionals, and most of them look good and intriguing. DecisionCAMP Organization Committee accepted 22 submissions, and to accommodate them, we decided to add an extra day to our … Continue reading

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Challenge May-2025 “Risky Stocks”

You need to create a decision service that decides whether to buy certain stocks or not. Here are the guiding rules:Rule 1: Stock in debt is considered risky.Rule 2: Stocks in fusion with other stocks may be risky.Rule 3: Stock … Continue reading

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Event Stream Processing by Roy Schulte

Roy Schulte published a two-part series about Event Stream Processing (ESP) today. Part 1 provides context, defines terms, and explains how AI helps ESP. Part 2 explains how ESP helps AI by enabling streaming data pipelines.

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