Attivio 5.5—the latest release of our market leading Cognitive Search and Insight Platform—has a lot going for it. If you just want a quick summary of all its new features, the launch press release is a good place to start.
But I’m going to focus on one—the platform’s use of machine learning to improve relevancy. After all, relevancy is the heart of cognitive search.
In a recent blog, we talked about Attivio’s “Sherlock” cognitive search campaign, which takes aim at IBM’s Watson. We noted that organizations deploy cognitive search platforms to boost employee productivity, foster innovation, and gain greater insight from their data. But to achieve those goals, they often take on huge professional services from “mega vendors” like IBM that don’t deliver an effective cognitive solution.
Benedict Cumberbatch, star of the BBC series “Sherlock,” has a problem. Sherlock’s stream-of-consciousness deductive speeches must be delivered at warp speed— “100 miles an hour”—and that’s hard to pull off without mistakes.
But, of course, all that speed makes sense. Holmes observed, processed, and bang! Insight. That’s rapid time to value.
No matter what search technology an organization uses, replacing it can disrupt normal operations. Even if employees are dissatisfied—complaining every other day to IT about how slow it is or user unfriendly—the old system is familiar.
In 2015, technology consultant Tim Powell blogged that in the early 2000s many organizations were very disappointed in their knowledge management (KM) efforts—some of which were multimillion dollar undertakings. The main complaints centered on integrating KM into organizational workflows and KM’s failure to produce a substantial ROI.
If you’re a millennial, you don’t remember the bad old days of enterprise search. It was high on the scale of frustration. You often couldn’t find what you were looking for. And, if you did, it probably took a long time. But then, thankfully, Google happened.
Take a look at this unbelievable Marketing stack from Cisco. I’m assuming that this all stands behind Cisco.com and is representative, but not exhaustive. Even so, have you ever seen anything so well thought out, open, and cutting edge – let alone so well laid out? Can you imagine the infrastructure budget that Marketing Ops team has – mercy!
Users want relevant results from their search queries. But, in addition, they want their search tool to “understand” what their queries mean based on context. In other words, know the difference between what was expressed in the query and what was intended.