Category Archives: Artificial Intelligence

Combining Symbolic and Generative AI

From an expert working on cutting edge neuro symbolic AI solutions, integrating LLM and decision management systems to bring real AI value to the enterprises: “Enterprise should not consider Gen AI as the solution to implement their interactive, customer facing, conversation … Continue reading

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Focus on Decision-Making Under Uncertainty

Meinoff Sellmann, a well-known expert in Operation Research (OR), gives this advice: “No surfer has ever surfed a wave by paddling to a place where others are already surfing the tube. In 2024, generative AI is the latest fashion. And … Continue reading

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Decision Intelligence at Gartner Summit

Decision intelligence will be well presented at Gartner Data & Analytics Summit that starts on Mar 11 in Orlando. In particular, Erick Brethenoux, Distinguished VP Analyst, will present “Decision Intelligence and Optimization Across Your Enterprise and Ecosystem”. Here is the … Continue reading

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Decision-makers behind the curtain

Cassie Kozyrkov: When it comes to AI, which part am I most concerned about? The decision-maker behind the curtain. Forget creepy robots — if there’s anything to fear, it’s human negligence. Most people think of AI as a tool for … Continue reading

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AI Pollution

“The amount of AI-generated content is beginning to overwhelm the internet. Or maybe a better term is pollute. Pollute its searches, its pages, its feeds, everywhere you look. I’ve been predicting that generative AI would have pernicious effects on our culture … Continue reading

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The seven levels of artificial intelligence by Warren B. Powell

Link

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Gartner’s Predicts 2024

David Pidsley, Decision Intelligence Advisor at Gartner: “We’ve just published our ‘Predicts 2024: How Artificial Intelligence Will Impact Analytics Users‘: 🔵 By 2025, 60% of ABI platforms will claim to enable decision intelligence, but only 10% will have a decision-centric … Continue reading

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How the AI Boom Went Bust in the late 1980s

This article in Communications of the ACM describes the fallout from an exploding bubble of hype triggered the real AI Winter in the late 1980s. It explains the Rise and Fall of Expert Systems in the context of the re-invention … Continue reading

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Text-to-Audio and Text-to-Music

Scientist from the Hebrew University of Jerusalem and Meta AI reported the results of their research available as an open-source text-to-music and text-to-audio system. You may listen various generated samples. Link

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Combining LLM and Rule Engine

A few month ago Mario Fusco (Drools project lead) wrote “Combining LLM flexibility and rule engine predictability“: “The power and flexibility that a well-trained Deep Learning model gives you is virtually infinite, but often, at least in some parts of … Continue reading

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