Insights
Author: admin
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Real-time data on the lakehouse
Streaming pipelines earn their cost when they feed well-owned data products with clear contracts, not when they make every table real time.
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Sovereign AI and data residency
Where models run and where data travels are architecture decisions that belong in discovery, not questions to answer after a procurement review.
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Who is awake at 3am
Production AI needs runbooks, on-call and clear ownership — the question every steering committee should ask before go-live.
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Green software and the carbon cost of AI
Measuring the energy and carbon behind compute and AI workloads is the first step to reducing it, and most of the reductions are good…
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Governing citizen development when low-code meets AI
Low-code platforms with AI built in let business teams ship real automation, so governance has to cover what they build without slowing them to…
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Deepfakes and synthetic identity fraud
Generated faces, voices and documents put pressure on onboarding and payment controls, and defending them means layering signals rather than trusting any single check.
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Adoption is part of the build
Training, comms and feedback loops belong in the definition of done — not a slide after go-live.
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Give AI an API it can trust
Agents fail on ambiguous tools, silent errors and missing idempotency — reliable APIs are the real integration work.
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Governance is not a phase
Logging, oversight and evaluation belong in sprint one — “phase two” is how audit findings happen.
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Inference cost is a product decision
Model choice, prompt design, retrieval scope and caching shape the monthly bill as much as usage — and product owners should own that trade-off.