How high-risk enterprises can build a sustainable AI operating model that balances business innovation, software engineering accountability, and organizational ...

On August 20, 2026, legal AI company Harvey released the Harvey Tenet Research Preview , publicly disclosing for the first time its interim results from post-tr...

Why the Real Challenge Lies Not in Developing an Agent, but in Building a Governable, Evaluable, and Scalable Agentic Ecosystem Enterprises adopting generative ...

When enterprises discuss AI-assisted coding, the conversation is often reduced to two questions: “How much code can the model write?” and “Can it replace develo...

As coding agents such as Claude Code, Codex, and Cursor increasingly enter real-world software development workflows, enterprises are beginning to face a proble...

The real value of the selective AI sovereignty framework proposed by the IBM Institute for Business Value is not the concept of “sovereignty” itself. What enter...

Key factual background: According to the Black Duck 2026 OSSRA report, 98% of audited codebases contained open source components. On average, each codebase incl...

Large language models are undeniably smart, but why do they still “hallucinate” at the most critical moments? A risk-control model spits out a plausible regulat...

Grounded in HSBC's AI transformation practices, this article systematically maps generative AI applications across front, middle, and back office functions — an...

Problem and Background As generative AI advances toward a new phase of "autonomous agents," enterprises and individuals have achieved non-linear productivity le...