Happy 2025!

Posted on December 31, 2024 by decisionmanagementcommunity
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Agentic AI for Decision-Making

Posted on December 31, 2024 by decisionmanagementcommunity

“To build truly impactful AI, we must embrace Augmented Intelligence—keeping the Human in the Loop to ensure explainability, trust, and accountability.
One critical step: creating intermediate, human-consumable artifacts (think: models) that can be validated and verified. These are essential milestones on the path to scalable, trustworthy automation.” Link

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Christmas Word Search

Posted on December 22, 2024 by decisionmanagementcommunity

We wish all our readers a very Happy Holiday Season!

We’ve just published a simple holiday Challenge for Jan-2025 in which you need to find how many times the word “XMAS” appears in the grid, horizontally, vertically, or diagonally, written backwards, or even overlapping other words in any orientation. Link

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“AI will place the law in the hands of everyone”

Posted on December 15, 2024 by decisionmanagementcommunity

Richard Susskind: “I argued that short-term thinking is the gravest danger facing lawyers when it comes to AI. I suggested that the future of legal service will not simply be a turbo-charged version of today’s legal working practices. Instead, I wrote of the dawn of an entirely new era, that of the ‘AI-empowered client’ – from the world’s largest corporations to individual citizens, AI will help overcome the twin problems of poorly met legal need and unmet legal need.” Link

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Decision Optimization and Generative AI

Posted on December 15, 2024 by decisionmanagementcommunity

There are two new articles devoted to this topic:

“Optimization and Generative AI” by Alex Fleischer

“LLM-ify me – Optimization edition” by Richard Oberdieck

Posted in Artificial Intelligence, Decision Optimization, Gen AI, LLM | Leave a comment

AI in Commercial Context

Posted on December 10, 2024 by decisionmanagementcommunity

Harley Davis: “At least in industrial/commercial contexts, we are usually interested in solving a series of more specific problems rather than having one big AI that can do anything. And those specific problems always involve interfacing with some existing processes, data, and systems. So using AI in a business context means understanding the business domain, the regulations and policies that govern how the business works for the problems we are solving, and software engineering to interface with the existing context. Discussions of AGI are really beside the point but discussions of which combination of technologies to use, and how to engineer systems for correctness and manageability are critical. This is the driver behind Hybrid AI.” Link

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Challenge Dec-2024: Pricing Policy

Posted on December 9, 2024 by jacobfeldman

Dec-2024 Challenge deals with an order pricing policy that depends on a number of different units, product types (Standard or Premium), country of origin, etc. A seller uses a mixed bracket volume and cost policy for orders with multiple units:

  • 1-99 units: $10 per unit (Standard), $15 per unit (Premium)
  • 100-499 units: $9 per unit (Standard), $14 per unit (Premium)
  • 500+ units: $8 per unit (Standard), $13 per unit (Premium)

For products that originated not in the US or Canada, there is a handling fee of $50 per order. If the order includes hazardous material, the total price should be increased by 30%. Link

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Agentic AI with Self-Reflection

Posted on December 8, 2024 by decisionmanagementcommunity

Armand Ruiz, VP of Product – AI Platform @IBM, posted “The future of AI is Agentic” with this architectural schema that looks promising for business decision-making with ongoing improvements:

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W2 job vs Your own company

Posted on December 6, 2024 by decisionmanagementcommunity

There is an interesting discussion on LinkedIn: “Exactly 1 year ago today I left my high-paying W2 job to start my own company. Here are 9 reasons why you should NOT do the same thing.” Link

Posted in Misc | 1 Comment

Focus on Learning Not On Knowledge

Posted on December 6, 2024 by decisionmanagementcommunity

Peter Voss lists “Focus on Knowledge, Not Learning” as one of The 7 Deadly Sins of AGI Design: “There’s a common misconception that knowledge is a good measure of intelligence. This is not so. An encyclopedia has a lot of knowledge but no intelligence. We also all know people who are quite knowledgeable but seem to lack in intelligence. On the other hand, we know of Bushmen in Africa who grew up not knowing books, electricity, or cars and yet able to learn to succeed in a large modern city within a short period of time.

AI development over the past several decades has focused far too much on having knowledge and skills rather than the ability to dynamically acquire, integrate, and generalize new knowledge and skills effectively. Large Language Models in particular are quite unable to update their core model in real time.” Link

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Posted in Artificial Intelligence, Knowledge Representation, Machine Learning | Leave a comment