Insights
What we have learned building data infrastructure, cloud systems, and AI deployment for healthcare, agriculture, and manufacturing operations teams.
FHIR APIs, HL7 feeds, and billing systems look straightforward in testing. Here are the five failure modes that appear only after go-live, and how to design around them.
Read article →AWS's HIPAA-eligible services list is not a compliance checklist. Here is what auditors actually examine, and the gaps we find most often in healthcare AWS environments.
Read article →The model performs well in testing. Six months later it's still in the notebook. Here are the four reasons AI pilots fail to reach production, and what production-ready deployment actually requires.
Read article →Farm IoT data pipelines fail for reasons that don't appear in industrial IoT textbooks. Intermittent connectivity, power constraints, and device heterogeneity create failure modes that require different architectural decisions.
Read article →The obvious cost of a broken hospital data pipeline is delayed reports. The less obvious costs are larger. Here is what manual data reconciliation actually costs a multi-site network, and why the business case for fixing it is usually stronger than IT teams expect.
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