The concept of Garbage In, Garbage Out (GIGO) is almost as old as computing itself. Its origins have been traced back to the 1950s and basically means that if you start with bad information, you get faulty results. It’s a pretty simple concept that remains at the core of computing.
In case you missed it, here’s a recap of last week’s webinar, New Modules in the Attivio Platform, presented by Attivio’s Director of Solution Architecture, Brian Flynn.
During the session, Brian reviewed two new modules that are included in the Attivio platform: Query Frames and the Search UI Toolkit, or “SUIT” for short.
We’re delighted to announce today that we’ve formed a partnership with MC+A, a Chicago-based search technology innovator and systems integrator.
Not only will MC+A act as a reseller of the Attivio platform, they will assist companies in upgrading from legacy search applications, such as Google Search Appliance (GSA). MC+A’s connector bridge solution simplifies the transition to Attivio’s modern, machine-learning-based platform.
Even as the press is filled with stories of artificial intelligence and cognitive technologies, the market isn’t entirely sure what to make of these advances. As with any emerging technology, the question arises of whether it’s all hype or if it’s truly transformative.
In a recent post, we looked at the reasons why so many cognitive computing initiatives fail. And that leads to the next obvious question, “So, how do you avoid failure and plan for success?”