Insights That Matter Today
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Your ML System Is Not “Done” at Launch: A Pragmatic Guide to Evaluation, Monitoring & Drift
Why this matters this week Most teams now have at least one machine learning system in production. Fewer have one they actually trust. What’s changed recently isn’t that “AI is everywhere”; it’s that: Inference volumes (and costs) jumped, especially with large models. Regulatory and internal risk teams are asking for hard evidence: evaluation, monitoring, and…
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Stop Calling It “Agents” If It’s Just a Cron Job with a GPT Call
Why this matters this week AI automation quietly crossed a threshold in the last ~90 days: It’s now cheaper than a human for a growing set of narrow, well-scoped workflows. It’s more robust than brittle RPA for anything involving unstructured text, screenshots, or variable layouts. It’s integrating into production via APIs, event buses, and workflow…
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LLMs in the SDLC: From Gimmick to Reliable, Measurable Throughput
Why this matters this week The “AI copilot for developers” story has moved from novelty to something you’ll be judged on as a leader: CFOs are asking: “Are we getting actual throughput for this spend?” Security is asking: “What exactly are we allowing into our codebase?” Senior engineers are asking: “Is this making my life…
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Solid-State Batteries: What’s Real, What’s Stuck, and What to Plan For
Why this matters this week Solid-state batteries (SSBs) moved from “slideware” to “line-trials” over the last 12–18 months, and the delta between press release timelines and manufacturing reality is finally visible: Multiple OEMs and cell makers are now running pilot and pre-production lines, not just coin cells in a lab. Several large EV platforms (2027–2030…
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Stop Treating AI Governance as a PDF Problem
Why this matters this week AI adoption is starting to hit the controls layer of real companies—policy, compliance, security, audit. The tension is becoming obvious: Security teams want data retention limits; product teams want bigger context windows. Legal wants “no PII ever”; support wants “paste the customer’s full ticket history.” Risk wants documented model behavior;…
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The Hidden Cost of “Serverless by Default” on AWS
Why this matters this week A pattern keeps popping up in technical post-mortems and slack threads: “We went serverless on AWS for simplicity and cost savings. Now our bill is weird, our latency is spiky, and nobody understands the platform.” Serverless on AWS (Lambda, API Gateway, DynamoDB, Step Functions, EventBridge, SNS/SQS, etc.) is no longer…
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