The Smart Data Blog

Smart HR - Using Big Data to Find and Retain Quality Candidates

Posted by Kirk Newell on May 25, 2017 4:55:00 PM

An organization’s staff is its most valuable asset, and the human resources function is critical to the stability and growth of business operations.

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Topics: Text Analytics, Analytics, Unstructured Data, HR

Leveraging Semantic Web Technologies to Create Information on Demand

Posted by Sam Chance on Apr 2, 2017 2:02:00 PM

Real-world events demonstrate our inability to understand rapidly and accurately what we already know. In other words, we cannot answer questions completely, despite the fact that we may hold the requisite data. For example, if someone attempted to enter the United States (US) at an airport, and US officials initiated a query to the “system” and found nothing, that person may enter the US erroneously. This might occur because US officials asking a question such as “What do we know about this person?” cannot assuredly answer it – and not in a timely fashion.

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Topics: Semantics, Semantic Web, Graph, Unstructured Data

Riding The Competitive Intelligence Automation Wave - Part 1

Posted by Partha Sarathi Bhattacharjee on Mar 16, 2017 4:43:00 PM

“If you know the enemy and know yourself, you need not fear the result of a hundred battles. If you know yourself but not the enemy, for every victory gained you will also suffer a defeat. If you know neither the enemy nor yourself, you will succumb in every battle.” - Sun Tzu

Most Competitive Intelligence (CI) and Business Strategy practitioners are likely to have come across this immortal advice from Sun Tzu. One does not cease to be amazed at how this simple fact underlies the multi-million dollar intelligence gathering industry.

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Topics: Clincal Trials, Text Analytics, Data Lake, Analytics, Unstructured Data, Competitive Intelligence

Transforming Data Management and Time to Insight with Anzo Smart Data Lake® [Slideshare]

Posted by Kirk Newell on Jan 16, 2017 12:47:00 PM

In this webinar Steve Hamby, Managing Director Government, discusses semantic graph technology to help Federal Government CIOs and their agency staff that are researching enterprise data management and mining tools understand how Smart Data Lakes can be a superior mechanism for addressing their top data priorities. Here are the slides from his presentation.

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Topics: Data Management, Data Integration, Data Governance, Smart Data Lake, Unstructured Data, Government

Five Big Data Industry Predictions for 2017 from Our CEO

Posted by Kirk Newell on Dec 30, 2016 2:51:07 PM

As we approach the end of 2016, we sat down with our CEO, Chuck Pieper, to discuss the future of big data and get his predictions for 2017. Here are his thoughts.

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Topics: Big Data, Graph, Analytics, Unstructured Data

Allow Us to Introduce Ourselves

Posted by Kirk Newell on Dec 27, 2016 8:25:00 PM

In September 2016 Cambridge Semantics attended Strata+Hadoop World 2016 in New York, NY. While we were there, Marty Loughlin, our VP of Financial Services, spoke to a gathering of attendees about who we are and what our platform does. Here is his presentation.

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Topics: Smart Data, Data Integration, Big Data, Anzo, Graph, Smart Data Lake, Unstructured Data

Introduction to Anzo Unstructured [SlideShare]

Posted by Kirk Newell on Jul 12, 2016 8:00:00 AM

Historically, understanding the contents of unstructured text has required a great deal of time and effort by experts to read stacks of documents and manually extract key information that is then consolidated in spreadsheets or structured databases. By using sophisticated semantic processing to enrich text analytics results, however, business analysts can set up text processing pipelines that can automatically analyze text content by extracting entities and relationships, analyzing sentiment and summarizing or classifying documents, emails, social media, websites and more.

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Topics: Text Analytics, Unstructured Data

Finding Alpha in Diverse Data

Posted by Marty Loughlin on Jul 6, 2016 12:00:00 PM

The challenge for analysts seeking trading opportunities that outperform the market is not a lack of information. It is an over-supply of information from widely disparate sources. How do you sift through the overwhelming flow of reports, news feeds, articles, blogs and social media posts to find the sentiments, relationships, patterns, unique insights and powerful nuggets of information that drive performance?

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Topics: Big Data, Unstructured Data

Transformational Text Analytics Flowing into Analytics for Enterprises

Posted by Richard Mallah on May 19, 2016 1:30:00 PM

Enterprise text analytics is an exciting and powerful area gaining traction recently. When one moves on from purely departmental solutions to a perspective of an enterprise text analytics fabric, new possibilities emerge to empower a wide array of roles and functions.

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Topics: Text Analytics, Unstructured Data

The Need For Anzo Unstructured

Posted by Richard Mallah on Feb 8, 2016 11:31:34 PM

The Need
Unstructured data is all around us: in news stories, web pages, journal articles, social media posts, patents, research reports, presentations, and a variety of other sources. These items are unstructured in that they don’t start out with a predefined, explicit schema or structure. Historically, these documents have been read by humans looking to find information relevant to their particular tasks or roles. In today's deluge, however, the need for scalable reading, repeatability, traceability, and speed has driven the advent of text analytics platforms.

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Topics: Semantics, Big Data, Text Analytics, Financial Services, Data Lake, Anzo, Analytics, Unstructured Data