4 posts tagged “AI Governance”
When an auditor asks who wrote that line of code, "the AI did" isn't an answer. How enterprise teams keep receipts for AI-assisted development: activity logs, usage analytics, approvals, rollbacks, and agents that act through APIs instead of databases.
Krishna NeelaSep 14, 2026Part 9 of 13
Vibe coding started as a throwaway tweet about letting the AI drive. Eighteen months later it is inside banks, utilities and government agencies, wearing a navy blazer. Here is what changed, what didn't, and why even IBM won't call it vibe coding.
Krishna NeelaAug 6, 2026Part 1 of 13
Generative AI is a governance conversation before it is a technology one. The data-residency decision baked into SaaS-versus-on-premises watsonx.ai, the human-in-the-loop controls (confidence scores and accept/modify/reject) that keep the AI a recommender not a decider, the feedback loop as a governed data process, and the AppPoints licensing that gates who gets access — with a go-live governance checklist.
Model lifecycle management, retraining schedules, quality governance, scaling across sites, and the organizational change that makes or breaks enterprise visual inspection programs.
Surendra Katta