Insights That Matter Today
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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…
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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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Shipping with a Copilot: What Changes When AI Enters Your SDLC
Why this matters this week AI for software engineering just crossed a threshold: it’s no longer an experiment sitting in one engineer’s editor; it’s starting to show up in org-wide SDLC changes, security reviews, and incident postmortems. What changed in the last couple of months: Teams are moving from “dev toy” to “pipeline dependency.” CFOs…
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Solid-State Batteries: What’s Real in 2026 and What Isn’t
Why this matters this week If you build or buy systems that depend on lithium-ion batteries (EVs, grid-scale storage, robotics), solid-state batteries have moved from “PowerPoint” to “engineering risk you actually need to model.” Two things are converging: Early production lines are now running at pilot and low-volume commercial scale. Several OEMs have locked vehicle…
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Stop Hoarding Prompts: A Pragmatic Guide to AI Privacy & Governance
Why this matters this week If you’re running production AI systems, you’re probably sitting on an unacknowledged liability: unbounded prompt and output logs. In the last 60 days I’ve seen: A mid-size SaaS vendor quietly halt an AI feature because legal discovered they were retaining full customer tickets and prompts indefinitely in an observability tool….
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The Unsexy Reality of Serverless AWS Cost & Reliability
Why this matters this week AWS bills for Lambda, API Gateway, Step Functions, DynamoDB, SQS, EventBridge, Kinesis, CloudWatch, and “misc” just landed for the month. Teams are discovering: A “cheap” serverless migration quietly doubled their spend. P95 latency blew up after a seemingly harmless change to an event-driven workflow. An incident investigation stalled because nobody…
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