Marc Akbar
40+ years building in enterprise tech, AI, and cybersecurity — founder, CTO, and startup mentor in Toronto. Writing on what comes next.
Writing
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Jul 30, 2026
Agent Memory Is Not a Vector Database
Enterprise agent memory is not one pile of embeddings. It is layered, governed, permissioned, fresh or stale, auditable, and sometimes deliberately forgotten.
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Jul 23, 2026
When AI Is Asked the Wrong Question
A retail forecasting problem showed the difference between predicting everything and finding the decision the business actually needed.
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Jul 14, 2026
Private AI Adoption Is Packaging, Not Just Privacy
Private AI becomes usable when the product tells the truth: what runs locally, what escalates, what hardware can carry, and where the data stays.
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Jul 14, 2026
The Model Can Only Act on Objects the Business Has Defined
AI readiness starts with business-object semantics: customer, site, device, contract, approval, exception, and the source of truth behind each one.
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Jul 10, 2026
Long Context Still Needs an Owner
Long-context models may reduce retrieval tricks, but enterprise AI still needs someone accountable for what enters the context, why it was included, and whether it can be trusted.
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Jul 9, 2026
AI Is Usually the Last Step
The MD Anderson and IBM Watson story is a reminder that AI readiness is often data, integration, workflow, and expectation management before it is a model problem.
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Jul 6, 2026
The Harness Is Where AI Becomes Operational
A model can reason correctly and still fail the work if the workflow around it cannot enforce completion, handoff, and auditability.
Work
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Private AI Appliance In development
Local AI that stays local — for businesses that want AI capabilities without the privacy trade-offs.
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Human Firewall In development
Security awareness that treats people as the first line of defense, not the weakest link.
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Rayonnance Ongoing
Twenty-four years of technology leadership for companies navigating transformation and mobile software.