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Insights That Matter Today

  • Policy-as-Code or Policy-as-PPT? Getting Real About AI Privacy & Governance

    Why this matters this week If you’re piloting or scaling AI in production, you’ve probably heard one or more of these in the last 7 days: “Legal says we can’t send PII to that model vendor.” “Security wants a DPIA / TIA / something-IA before we go live.” “Audit is asking how we know the…

  • The Hidden Cost of “Serverless Sprawl” on AWS (and How to Get Ahead of It)

    Why this matters this week AWS serverless used to be the “cheap by default” choice. For many teams, it no longer is. Over the last 12–18 months, three trends have converged: Lambdas and Step Functions are now orchestrating critical, always-on production flows, not just “glue code.” Teams have layered on more managed services (API Gateway,…

  • Cybersecurity by Design: Stop Treating Security Like a Retrofit

    Why this matters this week If you’re running production systems in 2025, “bolt-on security” is no longer just expensive — it’s a structural liability. Three pressures are converging: Identity is now the perimeter. Most breaches start from compromised identities or secrets, not clever zero-days. Cloud security posture is noisy and brittle. You’re probably drowning in…

  • Your Fraud Stack Is Now a Competitive Moat (or a Time Bomb)

    Why this matters this week If you run any kind of payments, lending, or wallet stack, your fraud and compliance posture just got more expensive in three ways: Card networks and banks are tightening the screws on chargeback ratios, dispute handling times, and monitoring programs. Regulators are shifting from “policies on paper” to “evidence of…

  • Your Model Isn’t “Done” at Launch: A Pragmatic Guide to Production ML

    Why this matters this week The easiest way to set money on fire with machine learning is to treat “model training” as the hard part and “serving it” as an afterthought. This shows up as: Models that look great in offline benchmarks but quietly degrade in production. Inference bills that creep up 5–10% month-over-month with…

  • Stop Calling It an “Agent”: Shipping Real AI Automation Instead of Demo Theater

    Why this matters this week Two things are colliding right now: Vendors are rebranding everything as “AI agents” and “copilots.” Teams are under pressure to “do something with AI” that actually cuts cost or increases throughput, not just produce a slide. If you run real workloads, you already know: – RPA is brittle. – Manual…

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