ERP · AI · Supply Chain · Quantum Computing — insights from building a real enterprise learning lab
How to let an AI assistant work with ERP data responsibly: read-only by design, human-in-the-loop writes, self-explaining responses, and defence in depth — the principles that separate a useful AI int
How TechnoPKG's DPVS project lets software make and act on routine business decisions safely — the AI proposes, a strict gate disposes, and a confident mistake is caught before it can ever reach the r
Two new local-AI tools on the portal — a structured error decoder (what it means, causes, fixes, prevention) and a contract analyzer that flags red flags and missing clauses like an absent liability c
Train real scikit-learn models in the browser — pick an algorithm and dataset, tune hyperparameters, and read genuine metrics, confusion matrices, named feature
The portal's agentic tool decomposes a goal into steps, routes each to a tool, executes in parallel, and synthesizes a summary — with an honest look at what a small local model gets right and wrong.
How TechnoPKG runs a local Llama model on a KVM2 VPS — no GPU required — with a cloud fallback for heavy tasks. A practical guide to hybrid AI deployment on a budget.