Do We Have AGI Yet? Gemini 3.8 Live Extended Thinking
Gemini 3.8 Live Extended Thinking is not AGI, but it is a voice assistant that keeps working while you talk. Benchmarks, pricing, limits, and a sample.
Paweł Szczepanik
Blog - Page 2
Pricing at Scale: How AI Helps Retailers Protect Margin Across 50,000+ SKUs
Live webinar on September 30, 3:00 PM CEST: how AI-powered pricing optimization helps retailers protect margin and clear inventory across 50,000+ SKUs.
Paweł Szczepanik
AI Governance Framework: Guardrails Inside the Pipeline
An AI governance framework that runs inside the delivery pipeline, with blocking, advisory and human gates, guardrails and evidence from every build.
Paweł Szczepanik
Meet DS Stream at NASSCOM Agentic AI Confluence 2026
DS Stream joins NASSCOM Agentic AI Confluence 2026 in Bengaluru on September 24. Meet us to talk decision intelligence for retail and CPG.
Paweł Szczepanik
Stop Parsing Data Manually: How AI Extracts Structure from Unstructured Data
How LLMs extract structure from unstructured data on Databricks: sampling, schema-enforced outputs, validation, quarantine tables and human review.
Andrzej Gabryel
Computer Vision in Modern Retail: From Shelf Audits to Perfect Store Execution
About 85% of India's FMCG sales go through 13 million kirana stores. Computer vision turns shelf photos into SKU-level data for perfect store execution.
AI Factory Reference Architecture: Layers, Not Racks
An AI factory reference architecture built from logical layers, not GPU racks: five layers, two planes, the contract each exposes, mapped to any cloud.
Paweł Szczepanik
Model Monitoring in Production: Drift, Decay and Alerting
Model monitoring in production has to catch decay, not just drift. Four signals, the label latency problem, thresholds that hold, and alerts people act on.
Paweł Szczepanik
AI Factory Cost: Budgeting Beyond the GPU Line
AI factory cost depends on integration, data work, governance and run rate more than GPUs. Seven budget categories, build vs run rate, cost per use case.
Paweł Szczepanik
AI Center of Excellence vs AI Factory: Which Model Scales
An AI center of excellence sets standards; an AI factory delivers them. Here is where each model breaks and what has to exist before the CoE can step back.
Paweł Szczepanik
How to Choose a Data Platform for AI Workloads
An AI data platform is judged by the workloads it runs: training, inference, vector retrieval, feature serving and model governance. Here is how to choose.
Paweł Szczepanik
AI Maturity Assessment: Positioning Your Organization on the Curve
An AI maturity assessment scores capability across seven dimensions, not one score. See what each level looks like in delivery terms and what to fix first.
Paweł Szczepanik