Webcast: Healthcare and Life Sciences: Two Industries Separated by Common Data
April 8th, 2020 at 1:00 PM ET
The Life Sciences and Healthcare industries are clearly focused on improving patient outcomes. However, managing complex and often new types of patient data require sophisticated and extensible data models for a host of diverse sources. Gaining new and deeper insights for desired outcomes requires analyzing demographics, clinical and medical records, diagnostics, therapeutic treatments and medications, laboratory and imaging results, genomics data, institutional resources and more.  While these sources continue to multiply, they also create an incredible opportunity for advancing analytics with a modern solution.  Many disparate systems have been developed to manage and integrate these data silos, but there are still too many significant challenges with interoperability and data sharing.  Even with the evolution of leading industry data standards such as CDISC, HL7 FHIR, and FAIR principles, the data sharing challenges remain in slow to respond legacy systems and silos. Clearly, new methods and approaches in scientific data management will be needed to meet these growing challenges.

Life Science and Healthcare industry leaders are finding success managing their disparate structure and unstructured (text) data by implementing modern enterprise data fabrics. Independent research firms like Gartner and Forrester, we believe, consider the data fabric a critical enabling technology for business process innovation. We look forward to exploring how these leaders are leveraging these exciting innovations in an Anzo Data Fabric.
Attend this webcast to learn about:
  • Industry trends driving demand for new approaches to enterprise data management.
  • How leading Life Sciences and Healthcare organizations are using enterprise data fabrics to enable powerful and novel health sciences insights, such as, comprehensive care program support and Real-World Data (RWD) insights.
  • Real-world examples of agile and extensible data fabrics blended across both industries to enable powerful exploratory and on-demand analytics valuable to both IT practitioners and business data consumers.

Register for this Cambridge Semantics webinar and receive a complimentary copy of the Gartner Report: “Life Sciences CIOs: Embrace Next-Generation Data and Analytics Platforms to Manage Clinical Data Challenges.”


James T. LaPointe
Managing Director for Life Sciences & Healthcare
Cambridge Semantics

Jim LaPointe is the Managing Director for Life Sciences & Healthcare at Cambridge Semantics, where he helps customers realize the transformational power of graph-based, ontology-driven Enterprise Data Fabric technologies in their daily operations. Embodied by the suite of Anzo Platform® products including the ‘big data’ scaleable AnzoGraph® database, customers enjoy the benefits of rapid integration of multiple data source and immediate insights from big data analytics. Prior to joining Cambridge Semantics, he focused on life science industry challenges and helped companies transform their business with innovative, enabling IT solutions across the entire IT lifecycle from portfolio strategic planning to post-deployment support.

Jim has a Master of Science (MSci) in Systems Engineering and Bachelor of Science (BSci) in Mechanical Engineering and Applied Mathematics (ME&AM) from the University of Rhode Island (URI).

About the Sponsor

Cambridge Semantics Inc. is a modern data management and enterprise analytics software company that enables seamless access, integration, and analysis of all enterprise data via a graph-driven data fabric architecture.

The company delivers solutions that enable IT and business users to accelerate datam delivery and to provide meaningful insights across the organization at hyper-speed and scale.
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Life Sciences CIOs: Embrace Next-Generation Data and Analytics Platforms to Manage Clinical Data Challenge, Jeff Smith, 22 October 2019