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.
By Kinesiis Engineering Team
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.
By Kinesiis Engineering Team
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.
By Kinesiis Engineering Team
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.
By Kinesiis Engineering Team
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.
By Karan Bhosale
Read article →Your IT team knows the data pipeline is broken. The question is whether to pull someone off BAU work to fix it or bring in outside expertise. Here is how to think about that decision.
By Karan Bhosale
Read article →The pilot impresses the executive team. The project gets funded. Then it sits in staging for eight months. Here is why data infrastructure pilots stall, and what production-first engagement looks like instead.
By Karan Bhosale
Read article →Most manufacturing data initiatives die in the gap between extracting data from historians and SCADA systems and delivering something operations teams will actually use. The technical and organisational reasons are predictable and avoidable.
By Karan Bhosale
Read article →Real-time IoT architectures work in factories with reliable connectivity. On farms, they lose data. Here is how to choose between store-and-forward and real-time ingestion for agricultural operations, and when you need both.
By Kinesiis Engineering Team
Read article →Both AWS and GCP can meet HIPAA requirements. The differences that matter are in managed service coverage, audit tooling, and how your team will operate the environment after handover.
By Karan Bhosale
Read article →Off-the-shelf ERP connectors promise to display live product availability on your website in days. In practice, they work for simple catalogs and break for everything else. Here is how to evaluate whether a connector will work for your product catalog or whether you need a custom integration.
By Karan Bhosale
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