Shelf Blog: Generative AI

When enterprises entrust AI agents with real-world capabilities and decisions (such as responding to customers or processing claims), an urgent question arises: How can we trust what the agent does? AI governance is the answer. It is a framework of policies, controls, and oversight that ensures AI...

Do you know the two main ways to incorporate your company’s knowledge into a language model? You can either retrieve it on-demand (RAG) or “bake” it directly into the model (fine-tuning). But if you make the wrong choice, you’ll end up with a bloated budget, outdated answers, or the need to...

SharePoint is one of the most popular document storage platforms for enterprise companies. And given its popularity, building a knowledge base around it seems like an obvious step. And indeed, it works well for storing and sharing articles. However, problems arise the moment GenAI is directed to...

Context engineering is the practice of designing and managing the complete information environment that AI agents use to reason and act. Unlike prompt engineering, which optimizes a single input prompt, context engineering builds a complete system of knowledge, memory, tools, and governance that...

When an AI agent invents a return policy that doesn’t exist or refers to a contract clause that never existed, these are AI hallucinations. In a consumer chatbot, this is simply annoying. In an enterprise agent that responds to customers or makes operational decisions, however, it poses a massive...

We’re still buzzing from last week’s NRF event. Over three days, our team connected with nearly 500 retailers and industry leaders and the energy around what’s possible with AI was palpable. But beyond the excitement, what struck us most were the candid, unfiltered conversations...