Data, Analytics, and AI Foundations
Invest in high‑quality ingestion, lineage, and monitoring so dashboards and models are trusted. A manufacturing team reduced scrap after fixing timestamp mismatches discovered through simple pipeline observability.
Data, Analytics, and AI Foundations
Start with a clear use case, available data, and a measurable outcome. Define responsible AI guidelines early. Ask your team: what decision could AI improve this quarter without adding complexity?