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.
Too often we think about effective search in terms of finding the right content on a website. But for enterprises across the world, effective search is equally important internally, to groups like Sales and Support. And it’s even harder to achieve.
Hurricane Harvey hit Houston hard. Harder than many expected, including a number of the oil and gas companies located in the area. Some evacuated early and had no idea when they would reopen for business.
You could Google cognitive search and find a lot of definitions. But the simplest one is this, “Cognitive search allows people to find hidden knowledge.” That knowledge, that gem could be anything and this applies to every vertical and job function. It can help you find a needle in a haystack or a particular needle in a stack of needles. And finding a particular needle in a stack of needles is often what customer service reps have to do.
Introduced in 2002, Google Search Appliance (GSA) was the answer to many companies’ need for a search solution for their website, Intranet and internal content. It provided a way for you to index internal content to make it findable quickly. And it was good - for a while.
Entity extraction is a core capability of text analytics, so I thought I’d step through an example of how it works.
Note: Learn about the all the different text analytics capabilities in my last post Text Analytics: A Spectrum of Enrichment Techniques.
Consider the following text that talks about Apple and Berkshire Hathaway. Entity extraction lets you pick out the entities in the text (companies, persons, locations) and then help you understand how they are related to other.
For cognitive search to work, you need text analytics, which is why it’s a key component of the Attivio Cognitive Search Platform. There is a range of capabilities within text analytics to understand, so I thought I’d take you through them and explain how they work.
These days, there’s pretty much a trade show for everything — and predictive analytics is no exception. The most recent stateside edition of Predictive Analytics World™ took place in Chicago in June of this year. And predictive maintenance occupied a prominent place on the agenda. One presentation concerned failure and fault detection for Rolls Royce.
A recent study by IDC, Data Age 2025: The Evolution of Data to Life-Critical, projects that the amount of data subject to analysis will grow by a factor of 50 between now and 2025. Further, the amount of analyzed data affected by cognitive systems will grow by a factor of 100 to 1.4ZB (zettabytes).
At Attivio, we align with channel partners who have deep industry expertise, and we think of our partners as an extension of our team. We are pleased to welcome a new partner to our circle of influence: MC+A.
We had a chance to catch up with Michael Cizmar, Managing Director, of MC+A, and ask him a few questions.