AI agents are entering the enterprise faster than governance frameworks can keep up. What works in a demo or pilot often fails quietly in production, not because the agent is unintelligent, but because the surrounding architecture is incomplete. The uncomfortable truth most organizations discover too late is this: AI agent failures are rarely model failures. […]
Key Takeaways AI agents fail in production when they operate on ungoverned, low-trust enterprise data. Agentic AI requires a governed data foundation plus Human-in-the-Loop (HITL) controls. Redesigning data and governance comes before automating workflows. Solix enables agentic AI by making enterprise data governed, auditable, and AI-ready. AI agents are everywhere right now. Every demo shows […]
Key Takeaways AI can compress clinical data management (CDM) timelines, but only if you protect data integrity, traceability, and reviewability. Regulated CDM must treat AI as part of the computerized system landscape, including validation and trustworthy records, not a “black box helper.” FDA Part 11 guidance and FDA electronic systems guidance are practical anchors. Modern […]
Key Takeaways Email authentication combined with AI-based threat analysis helps healthcare organizations prevent phishing, spoofing, and business email compromise, which are major vectors for patient data breaches. DMARC, SPF, and DKIM are foundational technical standards for authenticating email senders and protecting domain reputation. AI-enhanced email security platforms extend traditional authentication with phishing detection, anomaly analysis, […]
Key Takeaways Most people researching data lake architecture are trying to answer one question: How do we get analytics and AI value without creating a data swamp? A modern data lake is not only storage and compute. Mature solutions include metadata management, security, and governance. (Microsoft) Cloud architectures increasingly unify data with governance and catalog […]
Key Takeaways Legacy healthcare systems are costly, risky, and increasingly unsupported. Decommissioning does not mean deleting patient data. Healthcare regulations demand long-term retention, auditability, and controlled access. A governed archive-first approach enables safe decommissioning without operational disruption. Why legacy systems persist in healthcare Healthcare organizations run some of the oldest production systems in enterprise IT. […]
