Traditional search works well when users are looking for specific items. But workflows centered around building cohesive environments, such as set design and scene construction, introduce a different kind of retrieval problem. This article explores how OpenSearch, vector embeddings, and multimodal retrieval techniques were used to experiment with scene-oriented discovery and cohesive item selection.
Search governance adds structure, but it’s only part of the system. As shopper behavior, product catalogs, and business priorities constantly change, search needs to go beyond decisioning and continuously adapt. Governance, control, and optimization work together to keep results aligned with shopper behavior.
This article discusses how Model Context Protocol (MCP) expands AI chatbot capabilities with live data, actionable tools, and smarter workflows to improve customer interactions.
The functionality of the modern blend of AI has some immensely powerful capabilities that offer a great deal of opportunity. LLMs also have some important flaws. Awareness of what AI is, what it’s capable of (and not capable of) is crucial to weighing opportunity cost of IT time. It’s simply too expensive to not be aware of what AI is.
