The complexity of data management and advanced analytics is daunting to many organizations, but a new emerging class of software enables companies to spend less time managing their data and more time acting on the insights they provide.
At Strata+Hadoop World 2016, the concept on everyone's mind was the Data Lake. Fortunately, Marty Loughlin, our Vice President of Financial Services, was there to discuss how Smart Data Lakes are employing semantic technology to revolutionize Enterprise data analytics in ways that traditional Data Lakes can't. Here are the slides from his presentation.
Last month, the Cambridge Semantics team set off to New York City for Strata + Hadoop World 2016, or what Wired likes to call, “the lollapalooza of big data conferences.”
Last month, Cambridge Semantics held its inaugural Life Sciences Smart Data Discovery and Analytics Forum in Boston. At this forum, leaders in Life Sciences and Big Data met to discuss the application of smart data technology to research and development, clinical trial and healthcare data to gain more actionable insights and shorten the overall product lifecycle.
The CEO of ACME Corporation wants to further understand and gain value from their data. He has asked the CIO to create a data lake. John and Jim are then tasked with building the data lake by the CIO.
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.
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.
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.
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.
Analytics has profoundly altered the retail industry. The combination of real-time, predictive analytics—in conjunction with traditional historic analytic capabilities—has reconfigured the way organizations facilitate customer engagement, supply chain management, and inventory in both e-commerce and brick and mortar settings.