Practical, no-hype writing from our senior team, on building trustworthy analytics and reliable production AI. Across both pillars: Data, Analytics & BI and AI Engineering.
High-risk obligations slipped to 2027, so a lot of teams stopped paying attention. Article 50 went live on schedule, with fines up to 3% of global turnover.
Read article arrow_forwardA pretty dashboard on shaky data loses trust fast. Here's the boring layer underneath that earns it, drawn from a live platform serving 60,000+ stakeholders.
Read article arrow_forwardAgent demos dazzle; production humbles. The failure modes we see most, and the guardrails, evals, and observability that keep agents dependable.
Read article arrow_forwardA practical decision guide for teams weighing Power BI, Fabric, and a lakehouse, without the marketing gloss.
Read article arrow_forwardHow to move reporting from slow and manual to automated and daily, with data-quality tests baked in.
Read article arrow_forwardCutting campaign-production overhead with GenAI while keeping every asset on-brand and consistent.
Read article arrow_forwardWhat the EU AI Act actually asks of teams shipping AI and analytics, turned into a practical checklist.
Read article arrow_forward