Extract from Jim Gill’s article “Search is Everywhere. But What About Collaboration Data?”
We Take Search for Granted
Remember the days when you wanted to look for a document using the file manager on your desktop and you’d forgotten exactly where it was stored? It would take forever and sometimes freeze the operating system, and then you still didn’t find the file you were looking for, so you went to each folder on the C-drive and looked through everything manually. Ah, the good old days!
Today, we don’t really have those same issues. We can search files on our devices in an instant. Photos are automatically categorized by date, location, and even by the people or objects in the picture. And when we go to our email, we can type in a single word or phrase, and the search spans the to, from, and subject fields, as well as the text within the email. We’ve come a long way.
But when it comes to searching through the voluminous message data created in collaboration applications like Slack and MS Teams, search capabilities still face quite a few challenges. That’s where embedded Artificial Intelligence comes into play.
