Tag: AI

Retrieval is the foundation that determines what AI can reason over and what it can’t. This resource explains why retrieval strategy, not model choice, is the key to reducing hallucinations, preserving context, and delivering trustworthy enterprise AI answers.

AI coding agents are changing who can build software and what it means to be a developer. A firsthand look at how agents reshape productivity, skills and the future of coding.

In the quest for leveraging data insights without exposing proprietary information, many companies are implementing RAG systems to query like an internal ChatGPT.

R&D doesn’t lack data—it lacks signal. AI-driven knowledge discovery only works when answers are grounded in trusted, contextual enterprise data, not probabilistic guesswork. Most AI tools break trust before they create value. Treating research data like generic internet content strips away context, provenance and scientific rigor. Boring, reliable AI wins in 2026. Knowledge discovery that is governed, explainable and embedded into real R&D workflows is what turns AI from pilots into lasting outcomes.

ICYMI: Hazem El Zayat Catches Up with 10 Minute Martech on Why Strategy Should Always Come Before Tech