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.
So, of course, we were very pleased to see in the just released Forrester Wave™ for Cognitive Search And Knowledge Discovery Solutions (Q2 2017) that we were in the leader category. And well, Watson didn’t make it.
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.
Time to Value: The Missing Ingredient
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” that don’t deliver an effective cognitive solution.
Transforms sensory/data inputs into understandable formats
Reduces massive amounts of data to a concise, usable summary
Elaborates, extends, and enrichs the information processed
Stores and recovers information efficiently
Uses information to solve a meaningful problem
Of course, most of us don’t think about this when we use a cognitive search engine, but, “behind the veil,” natural language processing, machine learning, and text analytics function to execute those five tasks as quickly as possible.
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.
Of course, sometimes a search solution must be replaced because the vendor stops supporting it. A good example would be HP selling off its intelligent data operating layer (IDOL) product, a.k.a. Autonomy, to Micro Focus. Who knows what they’ll do with it?
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.
Powell’s experience squares with the general knock on KM, which has always been that they’re big, complex, expensive projecst that rarely deliver the promised benefits. Closely related to this was the fact that older generation KM solutions imposed rules on users the enforcement of which was practically impossible. But without the enforcement of those rules, KM didn’t work very well. So user adoption was often tepid.
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.
Googol—1 Followed by 100 Zeroes
Larry Page and Sergey Brin launched Google in 1997. Hey, Google will be 20 in September. It’s no longer a surly teenager! Speaking of, where did they come up with the name Google anyway?
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.
That was the purpose of the algorithms—the tunable relevance calculations—created by Google co-founders Larry Page and Sergey Brin. One of the parameters that improved relevance was user interaction with results. More relevant results reduced the uncertainty inherent in search, increasing value for users and vendors alike.
Attivio is pleased to announce its Managed Services offering for Cognitive Search and Insight in the cloud. Now you can have the full power of Attivio without having to buy hardware or manage software. Attivio will handle everything for you. With the Attivio Managed Services for Cognitive Search, you get the complete platform hosted on AWS and managed by Attivio.