Mark Ramsey, Ramsey International LLC


As the Managing Partner of Ramsey International, Mark leads advisory services with global organizations in the design and delivery of an ecosystem of best-in-class technologies to deliver production level, large scale data & analytics solutions leveraging a modern data management approach.  The team at Ramsey International is focused on assisting organizations to leverage data as a strategic asset.  The team recently delivered a production data & analytics platform leveraging the Cloudera CDP Public solution (AWS) integrated with several other technologies supporting several use cases in drug discovery & development for a Top 10 pharmaceutical company.

Mark was the first R&D Chief Data & Analytics Officer for GlaxoSmithKline plc, a multinational pharmaceutical company headquartered in London, and the world’s sixth-largest pharmaceutical company. Mark led the design and implementation of the R&D Information Platform (RDIP) as a key component of the data strategy for the organization, delivering a range of analytic services from GWAS on UK Biobank and 23andMe data, standardized assay data, standardized clinical trial data, and consolidated portfolio data for R&D.  The hybrid RDIP consolidated all the structured and unstructured data from across the R&D organization into a common shared platform for AI/ML, analytics, search, and reporting.  The platform of nearly 2,000 nodes and over 40PB of storage, leveraged the Cloudera data platform together with nearly a dozen additional technologies.

Mark was the first Chief Data Officer (CDO) for Samsung Telecommunications America where he established their data & analytics platform. Previously, he led the IBM Business Analytics & Optimization business in the growth markets, spanning over 150 countries with an of over 4,000 consultants.

Dr. Ramsey is a master inventor with 30 patents and numerous filings in data and analytics.  Dr. Ramsey holds a bachelor’s degree in computer science, an MBA with specialization in Computer & Information Security, and a Ph.D. specializing in Applied Computer Science.  His dissertation work on Exploring the impact of inferred social networks on the accuracy of churn prediction models in the mobile phone industry resulted in a US patent.

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