Kaybus, Inc.

The Problem We Solve

Modern content creation tools allow companies to produce content at a staggering pace. According to IBM, we now produce as much data in 2 days as we produced in all of human history up until 2003. Employees are inundated with content but every informative signal is completely drowned out by noise making useful content precious and increasingly rare. Despite our best intentions, the more content that gets produced, the worse the problem gets.

Companies started off trying to solve this problem with Intranet Portals, which were highly curated sets of links on web pages. That failed because no one could keep up with the maintenance of these manual pages.

We then tried to solve this problem with Knowledge Management systems like Documentum that were really a mash up of online file folders, basic search, and BPM or workflow. That failed again because it required people to constantly curate the content and information.

At this point the notion of human curation died and IT departments just let people set up their own share folders and pages with SharePoint, DropBox, and Box. This wave of technology is now failing because when people are left to individually define their own rules for sharing content in an organization, we end up with chaos. = Knowledge; Pathway through which all kay bus knowledge is transferred. = This is where most companies find themselves now. Key folders aren’t shared with the right groups, everyone decides their own tagging, content isn’t properly identified by type, role-specific content ends up everywhere, and nothing gets properly updated or deleted. Most people revert to e-mail, which painfully remains our main content “management system.”

Two complete technology waves have effectively failed to provide solutions for content curation, which has given way to a highly inefficient information free-for-all in most companies. In the age of driverless cars, we can’t find anything and we call each other to get content and send files by e-mail. This can’t continue.

How Kaybus Eliminates the Knowledge Gap

Kaybus began with the notion that if we know which group you work in, what your role is, who your peers are, and what subject matter you need to master, why should you have to search for anything. Isn’t this what computers are for? Can’t they curate for us?

Well it turns out they can. In addition to processing power, raw technology brawn, computers were waiting for brains, advanced
algorithms that allow them to detect and make sense of patterns and learn as those patterns change. This is called machine learning.

Computers can now curate content for us, personalizing what we see. With so much information being produced, changing so quickly, and destined for so many different people in so many forms us humans really need machines to help us solve this conundrum. It turns out that harnessing technology in this way also provides a whole host of additional benefits including measuring the use and effectiveness of information. We believe that companies that take advantage of these capabilities move to an entirely different playing field.

They anticipate what their customers, employees, and partners need to be successful and they deliver this content when they need it allowing them to get on and stay on the same page and deliver fundamentally better products and services.