DS Stream at Connected Commerce Summit London 2026: Four Takeaways
Our team attended Connected Commerce Summit London 2026. What we took away on shopper signals, putting AI to work, and product discoverability.
Blog
Demo: AI Product Segmentation for Retail Pricing
Watch a five-minute DS Stream demo of AI product segmentation that sorts thousands of SKUs into margin drivers, traffic drivers, and inventory risk.
Paweł Szczepanik
Retail Price Optimization: From Rules to SKU-Level AI
Retail price optimization explained: why pricing rules break down across large assortments and how model-based, SKU-level pricing works in practice.
How to Scale Enterprise AI: From Pilots to Agentic Platforms – Insights from Nasscom Agentic AI Confluence 2026
How to scale enterprise AI from pilots to production: AI operating model, governance, MLOps, business ownership. Insights from Nasscom Agentic AI Confluence 2026.
How AI Can Transform Distributor Management in India's FMCG Ecosystem
India's FMCG market moves most of its value through 12 million kirana stores and more than 400,000 distributors, yet secondary sales data rarely reaches the brand. This article shows how AI forecasting, credit scoring and app-based ordering close that blind spot, citing HUL's Shikhar app and stockout reductions of up to 30 percent.
Databricks Lakebase: The Reality of Postgres inside the Lakehouse
What Databricks Lakebase really delivers: Federation vs Lakehouse Sync, copy-on-write branching for CI/CD, cold starts, token expiry and governance.
AI POC Checklist for Your First AI Factory Use Case
An AI POC checklist built as five gates, each with an artifact, an owner and a pass condition, ending in a go, stop or re-scope decision.
Paweł Szczepanik
AI Vendor Lock-In: An Exit Plan for Your AI Factory
AI vendor lock-in cannot be removed, but it can be priced. The seven places an AI factory gets locked in, and how to write the exit plan before go-live.
Paweł Szczepanik
Data Engineering Partner Evaluation: An RFP Scorecard
A weighted RFP scorecard for data engineering partner evaluation: knockout gates, seven scored criteria, a paid pilot on your data and reference checks.
Paweł Szczepanik
Agentic AI in the Enterprise: Where Agents Earn Their Place
Agentic AI in the enterprise belongs in a process one step at a time: where the path is unknown, results can be checked and mistakes can be undone.
Paweł Szczepanik
Internal AI Platform: Build the Parts Every Team Rebuilds
An internal AI platform is the set of parts every AI team would otherwise rebuild: model gateway, prompt registry, evaluation tooling, and templates.
Paweł Szczepanik
RAG Evaluation: How to Know Your Retrieval Actually Works
RAG evaluation works best as two checks: did retrieval find the right passage, and did the answer stay inside it. Metrics, golden sets, regression gates.
Paweł Szczepanik