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.
Google has announced that it’s sunsetting the Google Search Appliance. Are you using it? Microsoft is sunsetting FAST. Are you using it?
Here’s the thing. The search market is changing, and the vendors know it. That’s why you are seeing major changes in the traditional search market. More importantly, though, you are noticing that traditional search simply isn’t giving you the information you need.
“Knowledge workers are workers whose main capital is knowledge.” (Wikipedia)
It seems like a simple definition of a knowledge worker, someone who works with information (knowledge) as a primary part of their job. But what many are only starting to realize is that there are far more “knowledge workers” in their companies than they ever realized.
If you Google “OEM: build versus buy,” you’ll get nearly a million results. It almost doesn’t matter what area of technology you pick, at some point there’s going to be a build versus buy bridge to cross.
For example, let’s take embedded analytics. That’s a hot topic right now among bloggers and industry analysts. ISVs that build line-of-business applications see embedded analytics as a way to differentiate their products. And, since they’re software companies, they could develop and embed the analytics themselves, right? Yes, they could.