My last post on cognitive computing was a backgrounder, and it stated the importance of search to any cognitive computing initiative. So, how does cognitive computing powered by search lead to digital transformation? In fact, just what is digital transformation?
When IBM Watson burst on the scene a few years ago by famously winning Jeopardy! people swooned. Here was a machine that seemed to live up to the promise of a science fiction future. IBM purported to show us all an artificial intelligence (AI) that could understand human language, sift through massive amounts of data, and provide answers to questions.
What exactly is cognitive computing? Well, if you ask 10 academics or scientists, you’re likely to get 10 different answers. Look it up on Wikipedia. You’ll see that in the academic and scientific community, there is no agreed upon definition. It’s just marketing jargon. Ouch.
On the commercial side though, we may not have a precise definition for cognitive computing, but we’re very aware of its potential to help our businesses.
Attivio, the leader in cognitive search, is pleased to have been recognized recently by Gartner as a “Visionary” in their inaugural report on “Insight Engines.” The report offers this definition for what an Insight Engine actually does:
"Insight engines apply relevancy methods to describe, discover, organize and analyze data. This allows existing or synthesized information to be delivered proactively or interactively, and in the context of digital workers, customers or constituents at timely business moments."
USA Today’s Marco della Cava ran an article earlier this week, “IBM, Salesforce join AI forces with Watson, Einstein.” The artificial intelligence-based partnership aims to, “boost the range of predictive analytics it can provide clients.” Salesforce’s AI Platform, Salesforce Einstein, which mines data to help salespeople close leads, is being combined with IBM Watson to provide data-based insights for businesses. The integrated solution is reported to be operational in the second half of the yea
There's a lot of talk these days about how to streamline the data supply chain. And the discussions often boil down to how to control an organization's data and how difficult and time consuming it is for business users to access it. As I wrote recently for DataInformed, highly structured systems for managing data like master data management (MDM) and enterprise data warehouses (EDWs) put a kink in the data supply chain.
Another fiscal year has come to a close, and we at Attivio have never been more excited about what’s to come. Our entry into the Big Data market is filling a void that enterprises struggle with every day.
We understand that data is a strategic asset that, when made accessible to everyone in the organization, can lead to smarter, faster decisions, pushing past the competition in ways that didn’t seem possible.
Enterprise search is back in the news—with a twist. Companies that really want to accelerate their results with BI and Big Data are looking to enterprise search as a way to help business analysts quickly find the data they need. Note that I said “data,” not information. Enterprise search has always been thought of as a way to find unstructured content in file shares like SharePoint. But now, it’s being applied to strucutured data as well. And if a search solution can combine data with unstructured content so much the better.
For all the talk about competing on analytics, little is said about what that takes. Strong visualization? Speed? Easy to use tools? It takes all that, of course, but one thing comes first: ready access to the data — the right data, for the people who need it, when they need it. As I said in my 5 predictions for BI and Big Data in 2016 post, without access to all your data, competing with analytics is just talk.