The Root of Failure Is Almost Never the Model When an enterprise AI project is declared a failure, post-mortems almost invariably land on the same verdicts: "th...

Seven Concrete Steps Enterprise Leaders Must Take in 2026 From “Buying AI” to “Using AI”: The Real Inflection Point Lies Not in Technology, but in Organizationa...

Seven Concrete Steps Enterprise Leaders Must Take in 2026 From “Buying AI” to “Using AI”: The Real Enterprise Inflection Point Is Organizational Capability, Not...

Why Industries and Enterprises Are Facing a Structural Crisis in Traditional Division-of-Labor Models Rapid Shifts in Industry and Organizational Environments A...

From Process Breakdown to Cognition-Driven Decision Order The Emergence of Crisis: When Enterprise Processes Lose Neural Coordination In late 2023, a global man...

Background and Inflection Point Over the past two decades, the software industry has primarily operated on the logic of scale-driven human input + modular engin...

Case Overview Drawing on McKinsey’s systematized research on AI in insurance , the industry is shifting from a linear “risk identification + claims service” mod...

This article anchors itself in MIT’s The GenAI Divide: State of AI in Business 2025 and integrates HaxiTAG’s public discourse and product practices (EiKM, ESG T...

In the era of enterprise intelligence powered by TMT and AI, the redefinition of the Product Manager (PM) role has become a pivotal issue in building intelligen...

As generative AI technologies—particularly large language models (LLMs)—are increasingly adopted across industries, AI data management has become a core compone...