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David Ohnstad

AI & Machine Learning in Enterprise Software | Product Management

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Month: April 2026

The Feedback Loop Problem: Why Most People Learn Slowly Despite Constant Experience

Without effective feedback loops, experience becomes repetition rather than progress.

Published April 28, 2026
Categorized as Enterprise AI and ML

Stability vs Growth: Why Comfort Zones Are Often Misunderstood

Comfort zones are not the enemy of growth; they are part of its structure.

Published April 28, 2026
Categorized as Enterprise AI and ML

Recent Posts

  • Why Most ML Models Never Reach Production
  • AI in Enterprise Software 2026: What the Data Shows
  • AI Product Roadmaps: Building Teams Before Features
  • AI Governance Theater: Why Dashboards Fail in Enterprise
  • AI Governance in Enterprise: Why Vendor Consolidation Fails

Recent Comments

  1. Why Most ML Models Never Reach Production - David Ohnstad on AI in Enterprise Software 2026: What the Data Shows
  2. Enterprise AI Budget Waste: Three Costly Mistakes - David Ohnstad on Enterprise AI Agent Costs: 4 Budget Myths Explained
  3. Why Enterprise AI Implementation Is Stalling — 2026 Data - David Ohnstad on Enterprise AI Platforms: Why They Create Technical Debt
  4. AI in Enterprise Software 2026: What the Data Shows - David Ohnstad on AI Governance Theater: Why Dashboards Fail in Enterprise
  5. Why Enterprise AI Projects Fail: Platform-First Thinking - David Ohnstad on ML Models in Production: Why Enterprise AI Projects Stall

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