Investigative AI applied to E-Commerce
May 19, 2026 — 04:15 pm – 05:15 pm Stage 5
Description
The study analyzes a global e-commerce system using AutoCM and Meta-AutoCM models to go beyond traditional sales statistics.
AutoCM identifies direct associations between variables (markets, products, platforms), while Meta-AutoCM reveals functional similarities and systemic impact.
Results show that geography is the main driver, with markets influencing the system far more than product categories.
It highlights “sentinel” markets that detect early changes and “bridge” countries that signal their spread toward Europe and the US.
The combined approach provides a strategic map for geographic segmentation, early-warning monitoring, and optimization of pricing and sales strategies.
Investigative AI: Legal and Illegal Economies. Investigative AI: Intelligence Topology of Terroristic Attacks
May 20, 2026 — 01:45 pm – 02:45 pm – Maxi Stage 1
Description
This presentation introduces an Investigative AI framework built on artificial neural networks
developed at the Semeion Research Center (Rome), specifically AutoCM (Auto-Contractive Map) and Meta-AutoCM. The analysis is applied to a dataset of 120 monthly observations (2016–2025) across 32 heterogeneous variables spanning corporate profits, energy markets, military expenditure, illegal markets, criminal trafficking, geopolitics, financial opacity, and cognitive-political dynamics (social media, polarization, disinformation). The work distinguishes two prediction paradigms — probabilistic (classical pattern recognition) and harmonic (weak present-day signals that foreshadow major future events) — and presents a three-stage analytical pipeline: PCA for initial orientation, AutoCM for first-order topology (“who is linked to whom”;), and Meta-AutoCM for second-order functional topology (“who acts like whom”). Key findings show that the variables with the highest Activation Force in the system are not the large legal economic actors but rather illegal or extreme nodes — fentanyl (Act = 1.000), cocaine, terrorism, diamonds — which operate as high-perturbation triggers with few connections but strategic positioning. Legal and institutional nodes (Meta Platforms, cryptocurrency, Lockheed, social media) dominate connectivity and serve as signal amplifiers and redistributors. AutoCM reveals a concrete structural corridor: drugs → diamonds → energy → refugees → military apparatus. Meta-AutoCM uncovers unexpected
functional equivalences (Meta ≈ Crypto ≈ Lockheed) and demonstrates that JPMorgan is peripheral, with zero activation. A bootstrap validation across five 75%-subsamples confirms the granite stability of the trigger core and the fluidity of the redistribution apparatus. The central thesis is that economic volume does not equate to structural power: systemic control arises from the
coupling of a few illegal ignition points with legal amplification corridors.
GLOW BOOKS: Dialogues with the authorMay 20, 2026 — 04:45 pm – 05:15 pmStandup Stage 3
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