LLMs are only as powerful as the context they can access—enter Model Context Protocols (MCPs). This post explores how MCPs unlock real-time interconnectivity between models and services, and why early adopters stand to gain a major strategic edge.

What does it take to build AI-ready infrastructure? After a decade as a CTO focused on scalable, API-driven systems, Jim Kresge shares a 10-part blueprint for preparing your enterprise to thrive in the age of AI—from data architecture to model governance and everything in between.

Are your teams pasting sensitive data into ChatGPT? You’re not alone. As LLM usage grows across the enterprise, so do the risks. This post breaks down why Retrieval-Augmented Generation (RAG) is a smarter, safer way to give AI the context it needs—without compromising security, scalability, or governance.

Explore how emerging collections tech tools like TrueML, January, and Kompato are reshaping digital debt recovery—and why they might be the smarter choice over building in-house.

Can you truly measure the impact of brand marketing? Gautam breaks down how to approach brand ROI with data-driven methods—without losing sight of the magic that makes iconic brands unforgettable.

What happens when a non-developer uses AI to build a full-stack app in 48 hours? Don Busick shares lessons from his hands-on experiment with Vibe Coding—and what it revealed about the future of software development.