Enterprisept7

Enterprise AI Part 7

In this week’s Data Diaries, we close the series at the vendor contract. Last week’s inference-hub thesis pivots from infrastructure to operations, where vendor selection and exit strategy share the same file. This is Enterprise AI, part 7. AI is just another contractor — a contractor that is not human, that is gullible, and that […]

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enterpriseaipt6

Enterprise AI Part 6

In this week’s Data Diaries, we close last week’s templated-versus-human thread and turn to where the work runs — the power grid, the GPU supply chain, and the export-control regime that decide whether your AI program has a home. This is the final part, part 6, of Enterprise AI. Here’s the shift. The Stanford AI […]

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EnterpriseAIpt5

Enterprise AI Part 5

In this week’s Data Diaries, we move from last week’s inference-hub architecture to the question that decides whether any of those controls pay off: who does what work, and where does the human judgment go. Last week we asked where your data lives. This week we ask where your work lives. This is Enterprise AI […]

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enterprisept4

Enterprise AI Part 4

In this week’s Data Diaries, we follow last week’s data-boundary thread into the harder question in Enterprise AI part 4: what happens when the model remembers a person it should forget, and who answers for the decisions that model then makes? Privacy and automated decisions sit on the same fault line, and the law now […]

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Enterprise AI Part 4

In this week’s Data Diaries, we follow last week’s data-boundary thread into the harder question: what happens when the model remembers a person it should forget, and who answers for the decisions that model then makes? Privacy and automated decisions sit on the same fault line, and the law now treats them that way. Here […]

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enterpriseaipt3

Enterprise AI Part 3

In this week’s Data Diaries, Enterprise AI part 3, last week’s governance-illusion frame leads straight here: the audit trail you owe the regulator starts with data you can actually account for. The cheapest piece of your 2026 AI stack is the model. The expensive piece, the one that shows up in audits, board meetings, and […]

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enterpriseaipt2

Enterprise AI Part 2

In this week’s Data Diaries, Enterprise AI part 2, we move from measurement discipline to the governance layer that makes that discipline defensible to a regulator. Discipline alone will not satisfy the auditor, and enforcement turned operational. The Senate killed the proposed 10-year state-AI moratorium on July 1, 2025, which retired “wait for Washington” as […]

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