We’d like to introduce you to the newest member of our team, Dan Szot, who has joined us as VP Sales, Life Sciences and Healthcare. Dan brings more than 20 years of sales leadership and field operations experience to the Cambridge Semantics team, specializing in enterprise sales, research discovery and clinical applications. With his broad experience in all phases of the pharmaceutical business – from drug ideation to commercialization and product life-cycle management – Szot possesses a keen understanding of the value that cutting-edge data discovery and analytics can offer the industry.
At Gartner's Data & Analytics Summit 2017, Alok Prasad, President of Cambridge Semantics, was joined by Peter Horowitz of PricewaterhouseCoopers for their session entitled “Accelerating Insight: Smart Data Lake Customer Success Stories”. During this presentation, they discussed how Cambridge Semantics’ in-memory, massively parallel, semantic graph-based platform, Anzo Smart Data Lake®, delivers an accelerating edge to data-driven organizations, while maintaining trust with data security and governance.
“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.
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, 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.
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.
The FDA has adopted the CDISC SDTM standard for clinical trial submission. While the standard has the potential to simplify the reporting processes, adoption poses challenges to and raises questions for pharma companies testing their medicines in the clinic. In response, organizations have tasked groups with managing clinical trial metadata in compliances with these standards.
We at Cambridge Semantics have been working with these groups to address these challenges with Anzo Pharma SmartBench, a user-driven platform for developing flexible data collaboration, integration and analytics solutions. Anzo Pharma SmartBench is based on Semantic Web Technology – the same standards used by CDISC to represent SDTM.
Anzo Pharma SmartBench features –
As FDA outlines, “the submission of standardized study data enhances a reviewer’s ability to more fully understand and characterize the efficacy and safety of a medical product,” and adopted CDISC standards based on semantic technology to be the standards for submitting and using study data. They further “envision a semantically interoperable and sustainable submission environment that serves both regulated clinical research and health care.”