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David Ohnstad

AI & Machine Learning in Enterprise Software | Product Management

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Month: January 2025

From Concept to Launch: The Critical Phases of a Product Management Lifecycle Understanding the Product Lifecycle

Product management revolves around transforming an idea into a solution that fulfills customer needs and aligns with business objectives.

Published January 22, 2025
Categorized as Enterprise AI and ML

Building Scalable Products: Lessons from Rapid-Growth Startups The Essence of Scalability

While product scalability is often discussed in the context of technology, it is equally a matter of strategic foresight and efficient execution.

Published January 22, 2025
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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