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Explore our thinking across healthcare, AI, and applied data science.
Showing 13 articles

How the modern lakehouse is becoming the foundation for enterprise GenAI, RAG, AI agents, analytics, and governed AI applications.

From Knowledge to Impact: Designing RAG systems that balance innovation with compliance, security, and trust in production enterprise environments.

How the Data + AI Platform is bringing together data engineering, analytics, AI agents, governance, and real-time applications into a unified enterprise platform.

How AI agents are moving from answering questions to reasoning over enterprise data, using tools, executing workflows, and driving governed business outcomes.

Traditional data pipelines struggle with modern data environments. Explore how complexity, maintenance overhead, and quality challenges are creating engineering bottlenecks.

From Pipelines to AI-Powered Data Workflows - How AI is transforming data engineering from manual pipeline development to intelligent, intent-driven workflows.

Discover how AIOps transforms operational insights into automated workflows.

Strengthen enterprise resilience with AI security and data integrity strategies.

Convert AI investment into measurable enterprise value with proven ROI strategies.

Transform raw genotype data into actionable prescribing recommendations at population scale using Databricks Lakehouse, CPIC guidelines, and the Medallion architecture.

Revenue, margin, expense ratio, and QoQ growth — a live financial analytics solution built on TPC-H data, six Gold SQL views, and Genie.

Channel revenue, product margins, promotion ROI, and customer segmentation — all from free TPC-DS data, live and filtered.

Fusing NIH MeSH + ClinicalTrials.gov with rdflib and PySpark. A production-level knowledge graph connecting 6,000 MeSH biomedical concepts to 5,000 clinical trials without relying on any paid libraries.