Insights That Matter Today
-
Stop Hoarding Prompts: A Pragmatic Guide to AI Privacy, Retention, and Policy-as-Code
Why this matters this week Over the last month, three patterns keep coming up in conversations with engineering leaders: “Legal just froze our AI pilot.” Because nobody can answer simple questions like: Where does user data go? How long is it kept? Who can see it? Can we prove that? SOC2 / ISO auditors are…
-
The AWS Serverless Tax: Where You’re Overpaying (and Breaking Reliability) Without Noticing
Why this matters this week Multiple teams I’ve spoken with in the last month have quietly rolled back “fully serverless” stacks on AWS—not because serverless doesn’t work, but because: Costs were unpredictable and often 2–5x the EC2 equivalent. Latency SLOs were getting blown up by cold starts and fan-out patterns. Observability degraded to the point…
-
Shipping Software with “Assumed Breach”: Cybersecurity by Design in 2026
Why this matters this week You don’t need another reminder that “security is important.” What’s changed is what attackers target and how fast they move once inside: Ransomware groups now move from initial access to domain-wide impact in hours, not days. Access brokers resell valid identities and tokens, not zero-days, as their main product. Cloud…
-
Your Bank Is Now a Message Bus: Emerging Fault Lines in Fintech Infrastructure
Why this matters this week Underneath the marketing copy about “embedded finance” and “real-time payments,” the actual fintech infrastructure story is getting sharper: Card networks are tightening dispute and fraud programs. Real-time rails (RTP, FedNow, SEPA Instant, Faster Payments) are moving from “edge use case” to “default expectation.” Regulators in multiple jurisdictions are becoming more…
-
You Don’t Have an ML Model Problem, You Have a Feedback Loop Problem
Why this matters this week Most “production ML” incidents I’ve heard about in the past month weren’t about model quality at all. They were about: Silent regressions after a retrain Feature pipelines drifting away from their “as-trained” definitions Retrievers or ranking models getting more expensive than the value they create Monitoring dashboards that look healthy…
-
From RPA Graveyards to Real AI Automation: What’s Actually Working
Why this matters this week Most teams that tried “AI agents” in 2024 ended up with: Demo-ware that only runs under babysitting Glue scripts wrapped around chat APIs Or a fancy UI in front of the same brittle RPA stack Meanwhile, some very boring companies are quietly putting AI automation into production and ripping out…
✨ FEATURED AI VOICE