Tag: AI Perspectives

Two AI leaders in the finance space contemplate what it means to keep humans at the center of work.

Learn how to turn your style guide into an AI-powered self-review skill using GitHub Copilot to improve documentation quality, consistency and editorial efficiency.

Stop wasting AI budgets. Learn a practical, problem-first framework to turn pilots into real ROI with better data, adoption and business impact.

If you’re sitting on a mountain of legacy code, maybe a Java monolith or an old .NET setup, Alphonse Kazadi discusses the three ways to use AI that have nothing to do with a chat window.

This blog argues that the success of a retrieval-augmented generation (RAG) system depends more on data quality, metadata and governance than on model tuning or pipeline optimization. Without clear metadata, document ownership, permissions and freshness controls, AI systems can retrieve outdated or incorrect information, leading to hallucinations. Ultimately, trustworthy AI requires well-structured, governed data, not just more advanced models.