Tag: knowledge and findability

Keeping up to date on search research honestly won't help you in your daily work in the short-term. But it will point to the long-term future of search.

Your KM strategy should help you make the most of your tech investments to help your employees — whether working in the office, at home or on a mountain.

Enterprise search never comes up in M&A discussions. Yet the need to find and share information across the newly-formed entity is a clear priority.

Your ability to collect, share and adapt tribal knowledge will be a market differentiator. Chatbots can help make sure this knowledge doesn't get lost.

Analyst firms that present enterprise search vendor assessments in two dimensions belie the complexity involved in enterprise search.

As with so much of search application management the response about cost is the same: “It depends.”

Nine lessons learned over a two-decade career in enterprise search, with a particular focus on achieving search satisfaction.

A digital workplace that strategically centers knowledge is critical to elevating an organization's learning and innovation culture.

A search index is created using a content processing pipeline, but a number of issues can appear along the way.

Let’s be honest. Before COVID-19 upended everything, very few organizations were doing knowledge management well.

Five years ago I wrote about where big data and knowledge management overlap. Needless to say, a lot has changed in the intervening years.

No one's ever made a business case for a Microsoft app on the basis of its search. The CIO decided to implement and search came along for the ride.

When working remotely, it’s tempting to spend our time in a Slack chat with our department, but that leaves us unaware of what’s happening in other departments.

Two common challenges of managing search applications share the same solution: focus training and evaluation at the individual team level.

AI has a place in enterprise search. But businesses need to ensure appropriate levels of performance, transparency and evaluation come along with it.

Every search vendor claims to have a unique, easy to install, manage and integrate solution that delivers highly relevant results in seconds.

Self-service, much like collaboration and other centers of activity, depends on well-managed and accessible information.

We tend to talk very glibly about scanning a list of search results without for one moment considering what this action involves.

Project Cortex is more of a vision than a product, and SharePoint Syntex is the first service on the road to realizing that vision.

How long would a restaurant survive if it ignored customer concerns and never improved? Why should search applications be any different?