Stéphane Dalbera wrote: “In an era where almost everything is marketed as a disruptive evolution and incredible innovation, I thought it would be worthwhile to revisit a truly game-changing piece of software.” His post is devoted to 𝐕𝐢𝐬𝐢𝐂𝐚𝐥𝐜. Nowadays, DMN-like decision tables placed in spreadsheets or similar graphical interfaces (without VisiCalc/Excel formulas) allow business analysts to represent and execute the most complex business logic with no code. Link
Continue readingGreg Isenberg published his controversial but thought-provoking list of predictions. Here are just a few hooks:
“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
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
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
There are two new articles devoted to this topic:
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
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:
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
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:
Decision Management Community 
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