Executive Bytes · May 2026
Agentic AI is already operating inside many organizations through workflows, tools, and connected systems. The governance question is no longer whether agents are coming, but whether…
Read →Executive Bytes · Apr 2026
Read →Point of view · Oct 2026
Interviews test the talk, not the work. How to vet a senior data engineer with a practitioner-led screen, a paid trial task and a check of…
Read →Point of view · Oct 2026
For data and AI work, overlapping hours often matter more than the rate. When nearshore fits, when offshore works, and what to ask any provider before…
Read →Point of view · Oct 2026
Machine learning or generative AI? Start with the output: numbers, scores and plans point one way, language the other. How to choose, and when to use…
Read →Point of view · Oct 2026
MLOps is a routine, not a platform purchase: a model inventory with owners, shared monitoring, retraining and retirement rules, and a review cadence.
Read →Point of view · Oct 2026
Models decay quietly. What to monitor, from data quality to the business decision, and when to retrain a model on a trigger rather than a calendar.
Read →Point of view · Oct 2026
Completion rates show a course ran, not that anyone works differently. How to measure AI and data literacy by use, quality and judgment, role by role.
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