Large Companies vs Startups in the age of AI

Posted on May 21, 2025 by decisionmanagementcommunity

Andrew NG states that “large companies are slower than startups for many reasons. But why are even 3-person, scrappy teams within large companies slower than startups of a similar size? One major reason is that large companies have more to lose, and cannot afford for a small team to build and ship a feature that leaks sensitive information, damages the company brand, hurts revenue, invites regulatory scrutiny, or otherwise damages an important part of the business. But if engineers need sign-off from 5 vice presidents before they’re even allowed to launch a minimum viable product to run an experiment, how can they ever discover what customers want, iterate quickly, or invent any meaningful new product?” He recommends a way out of this conundrum. They can create a sandbox environment for teams to experiment in a way that strictly limits the downside risk. Link

Posted in Artificial Intelligence, Innovation | Leave a comment

Java at 30 Years Young

Posted on May 20, 2025 by decisionmanagementcommunity

Java turns 30 on May 23rd! Join the Java YouTube channel on May 22nd starting at 13:00 UTC for a 6-hour live stream covering Java’s evolution, its global impact, and how it shapes the future of programming. Link

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AI and Customer Service

Posted on May 17, 2025 by decisionmanagementcommunity

“Over a year after claiming that its AI chatbot could do the work of 700 representatives, Klarna is turning back to people to help with customer service work. The shift highlights the need for the option to speak to a human in customer service — and to use AI as a supplement, not a replacement, for staff,” Link

Posted in Artificial Intelligence, Customer service | Leave a comment

How to determine the exact state of a business process with thousands of ongoing cases, in real-time?

Posted on May 16, 2025 by decisionmanagementcommunity

In this post, Prof. Marlon Dumas describes new techniques that efficiently compute the current state of a business process from event logs of ongoing cases. Replaying event logs interactively from any point in time, you fast-forward to any time point, and you can determine where exactly to put the tokens to start a log animation from that time point. Initializing business process simulations in real time based on the current process state of ongoing cases, for example, to support runtime decision support. This paves the way for high-performance digital twins in process mining and operational monitoring. Link

Posted in Business Processes, Event-driven, Human-Machine Interaction, Process Mining | Leave a comment

AI Protects Against Scams

Posted on May 11, 2025 by decisionmanagementcommunity

Online and phone scams, some of them powered by generative AI tools, surged in 2024 and continue to rise. Now, Google is deploying some of its latest AI models to help protect users from these threats. One such model is Gemini Nano, a lightweight AI that can run directly on a user’s device.

Now, when a Chrome user enables Enhanced Protection mode in Safe Browsing—the browser’s highest security setting—the Nano model runs locally to scan web content for signs of fraud. It can recognize common scam tactics, such as bad actors posing as remote technical support staff, a tactic Google says is becoming increasingly common. The model is also capable of detecting novel scams it hasn’t encountered before.

Google says it plans to use the on-device AI scam protection in the browser on mobile Android devices in the future, and to expand the detection to more types of scams. Google already uses on-device AI to detect scams in other mobile apps. The company recently began warning Android users of possible scams within text messages and phone calls. Link

Posted in Artificial Intelligence, Fraud Prevention | Leave a comment

Challenge May-2025 “Risky Stocks”

Posted on May 1, 2025 by jacobfeldman

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 in fusion with a strong stock is not risky.
Rule 4: Do not buy risky stocks unless they have a good price.
Keep in mind that more rules that conflict with some of these rules can be added later. Link

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Explaining Solutions of Combinatorial Optimization

Posted on April 30, 2025 by decisionmanagementcommunity

DecisionBrain is actively investigating the topic of explaining Combinatorial Optimization results. Drawing from principles in both Social Sciences and Artificial Intelligence, they highlighted two key types of explanations, contrastive and counterfactual explanations, and discussed their relevance in decision-support systems. Link

Posted in Decision Making, Decision Optimization, Explanations, Optimization | Leave a comment

Rule Challenge at Declarative AI

Posted on April 29, 2025 by decisionmanagementcommunity

This year DeclarativeAI  (that includes DecisionCAMP as a co-event) will run the 19th International Rule Challenge, fostering friendly competition among innovative rule-oriented tools, prototypes, and applications tailored to research, industry, and government. Participants are invited to showcase their solutions to self-defined challenges and to propose open challenges for the community to address. Link

Posted in Decision Modeling | Leave a comment

Resolving Conflicts among Business Rules

Posted on April 19, 2025 by decisionmanagementcommunity

Ron Ross again brought up the question of “Exceptions to Business Rules” to light (https://lnkd.in/eyemPWF2). Ron defines an exception to the rules as a foreseen, explicit set of circumstances in which different-than-normal guidance is to be followed. He gave an example: seeing-eye dogs as an (explicit) exception to dogs not being allowed in a hospital. One comment says: “I heard that there are no exceptions to the BRs. I heard that there are only other BRs.”

This discussion is still as important as it was years ago when the vendors of Business Rules systems considered a more generic problem of Resolving Conflicts among Business Rules. In 2014, two BR vendors, Drools and OpenRules, independently addressed the problem of the diagnosis and resolution of business rule conflicts using Defeasible Logic. Link

Posted in Business Rules, Defeasible Logic, Rule Violations | Leave a comment

“Expert Systems Will Lead the Next Chapter of AI”

Posted on April 18, 2025 by decisionmanagementcommunity

Clive Spenser pointed to a very interesting Oct-2024 article by Martin Milani that makes the case for coupling deep learning with expert systems.

“In the next generation of AI, advanced expert systems will serve as the core “intelligence,” acting as the primary engine for decision-making. While deep learning systems excel at recognizing patterns, these perceptual learning methods represent a subservient and lower form of intelligence. Just as in humans, where perception informs but does not govern complex reasoning, deep learning systems will be subordinate to expert systems that provide structured, logical, and complex decision-making.” Link

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Posted in Artificial Intelligence, Business Logic, Decision Making, Expert Systems, Human-Machine Interaction, Machine Learning | Leave a comment