The Smart Data Blog

Q&A with Steve Hamby, Managing Director Government

Posted by Kirk Newell on Sep 26, 2016 2:05:37 PM

We wish to take this opportunity to introduce Steve Hamby, recently announced as Managing Director Government here at Cambridge Semantics. In this newly created position, Steve serves Cambridge Semantics’ federal government customers seeking insights from big data discovery, analysis and data management solutions to provide more timely, accurate and customizable information to staff, citizens, media and businesses.

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Topics: Smart Data, Government

Top 5 Ways Government Agencies Can Benefit from Smart Data Solutions

Posted by Kirk Newell on Sep 20, 2016 4:40:00 PM

In recent years, government agencies have developed an interest in semantic-based smart data discovery and analytic solutions. From enabling more transparent relationships with the public to improving productivity, government organizations are learning the value of big data analytics.

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Topics: Smart Data, Government

Cambridge Semantics to Present at 2016 Enterprise DATAVERSITY: Data Strategy and Analytics Forum

Posted by Kirk Newell on Sep 15, 2016 12:10:09 PM

Our Chief Technology Officer Sean Martin and Vice President of Engineering Barry Zane will be speaking at the Enterprise DATAVERSITY: Data Strategy and Analytics Forum next week in Chicago, September 19 - 22, 2016. The event brings developers, business executives, analytics and data professionals together to discuss the key data strategies necessary to create a successful, modern data analytics organization.

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Topics: Big Data, Smart Data Lake

Semantics 101

Posted by Patrick Wall on Aug 17, 2016 12:30:00 PM

Comprehending semantic technology is no longer an arduous task for the back offices of data-savvy organizations. Business users and C-level executives are starting to comprehend the basics of the technologies that are increasingly impacting their jobs.

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Topics: Smart Data, Semantics, Semantic Web, Ontology, Graph

Diving Deeper into HL7 Standards with the Smart Data Lake

Posted by Kirk Newell on Aug 15, 2016 12:00:00 PM

Data originates everywhere in the healthcare industry – in laboratories, within insurance agencies, in Electronic Medical Record (EMR) systems, etc. – and each of these sources represents a valuable set of information. Healthcare professionals need a comprehensive method that collects and transfers data across systems in a way that is reliable, secure and compliant. But because healthcare system formats are rarely ever the same, it becomes challenging to securely and efficiently share data between vast and diverse data and information sources.

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Topics: Data Lake, Smart Data Lake, Healthcare, H7

5 Recommendations for Big Data Success as a Chief Data Officer

Posted by Kirk Newell on Aug 10, 2016 1:00:00 PM

The evolution of big data over recent years has resulted in a new role that has been gaining industry traction – the Chief Data Officer (CDO). As executives begin to recognize the business value residing in their data, they are focusing now more than ever on finding ways to manage and govern this data. The CDO is emerging as a key player in the enterprise by helping to establish and maintain data governance, quality, architecture and analytics, enabling firms to more productively harness information to manage risk, reduce cost and drive innovation.

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Topics: Data Management, Big Data, Data Governance, Analytics

Enabling Data Scientists by Reducing the Burden of IT

Posted by Kirk Newell on Aug 7, 2016 2:00:00 PM

The cliches are well known by now: data scientists spend the majority of their time simply preparing data for analytics, inheriting the responsibilities of IT teams that traditionally took months to process simple query results.

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Topics: Smart Data, Semantics

Smart Data Discovery

Posted by Patrick Wall on Aug 2, 2016 12:30:00 PM

Conventional data discovery utilizes dashboards, visualizations, search, and other tools to determine appropriate data for integrated, targeted use cases. Smart data discovery techniques, on the other hand, leverage linked data graphs, comprehensive data models, and a semantic standards-based approach to publish results to those same popular tools.

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Topics: Smart Data, Semantics, Semantic Web

Semantic Graph Databases: The Evolution of Relational Databases [SlideShare]

Posted by Kirk Newell on Jul 28, 2016 12:30:00 PM


In this webinar Barry Zane, our Vice President of Engineering and an industry expert in Database technologies, discusses Semantic Graph databases as the next step in the evolution of Relational databases.

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Topics: Smart Data, Graph, Smart Data Lake

CDISC and Smart Data Lakes: Extracting Value from Clinical Trial Data

Posted by Kirk Newell on Jul 26, 2016 10:00:00 AM

In the pharmaceutical world, clinical trials are essential to any medical research study, such as testing the benefits and risks of a specific medical treatment or drug. But because massive amounts of data is collected, analyzed and reported, investigators and doctors running these trials require a comprehensive set of standards to support the exchange of confidential information.

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Topics: CDISC, Clincal Trials, Smart Data Lake