To listen to the discussion on AI you'd be forgiven for thinking it is simultaneously the best, most innovative idea in a century and also an electricity-eating toy that's somewhat amusing but not good for much.

All data is not created equal. As the amount of data increases exponentially, knowledge workers find themselves overwhelmed with data, struggling to find the useful nuggets they need.

If you're like me, the first few times you heard the term RAG (Retrieval Augmented Generation), you might have thought that someone was trying to clean up a mess. After reading through technical explanations, that's pretty much the case.

Our ability to create and store data far outstrips our ability to organize and find data. Search, or the fine art of finding what we're looking for, is only partially solved.

SWIRL 3.8 is packed with new features, user-requested improvements, and performance upgrades to enhance your AI and search experience, including enhanced PII redaction and improved RAG citation formats.

AI agents are tools that use AI to respond to their environment and take actions based on what they perceive. They present a powerful method for businesses to automate strategy and respond to changing market conditions.

Research is a search and data relevancy problem. Much of research consists of visiting the library, seeking out relevant information, conducting studies, accumulating data, and keeping everything connected.

Perhaps the most frustrating part of writing a dissertation is searching for papers. Finding relevant material is not easy — having all the world's knowledge at your fingertips means wading through a good chunk of it to find what you need.

When the President needs advice, he has his Cabinet, his Council of Economic Advisors, the Joint Chiefs, and so on. A reliable, available council of advisors is a valuable resource that most of us don't always have access to.