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Explore our thinking across healthcare, cybersecurity, defense, and applied AI. Filter by industry or search directly.
Showing 16 articles
Artificial intelligence is moving beyond analysis into systems that can take autonomous actions. When agents are connected to enterprise applications, weak governance can become direct business exposure.
Cybersecurity is now a balance-sheet and trust issue, not an information technology checklist. Executives must address two horizons simultaneously: attacks already disrupting organizations and the longer-life confidentiality risk from quantum computing.

A practical walkthrough of how we built a fully automated, research-driven cold email system that personalises outreach at scale without sounding like it was written by a machine.

A practical look at how ScrivaMD turns patient audio into transcription, SOAP notes, and useful clinical answers while keeping documentation simple and organized.

A practical look at why insurance card scanning saves time, reduces intake friction, supports cleaner patient records, and makes everyday clinic work easier.

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

A practical walkthrough of how we designed, architected, and delivered a live financial analytics solution on Databricks using TPC-H data, Gold SQL views, AI/BI dashboard, and Genie.

5,000 clinical notes. 180,000 medical entities. 12 patient cohorts. Zero dollars spent on software.

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.

A data + technology blueprint for the Midwest—especially Kansas City Metro rural networks—built for real staffing, real budgets, and real patient needs.

Interoperability is no longer a technical upgrade. It is the operating model that determines whether AI delivers return on investment or stalls in pilots.

Global shortages, rising burnout, and tightening regulation are forcing health systems to treat AI not as a gadget, but as a workforce instrument.

Operators in a joint C-UAS cell review fused tracks and authorize a low-collateral effect.

OT SOC with ransomware drill KPIs, segmentation map, and backup health.

Security teams are discovering that LLMs expand the attack surface faster than they reduce toil.

Federated learning enables cross-border AI collaboration without shipping raw data.