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Johnson & Johnson unlocks analytics-ready data at scale with a modern cloud infrastructure with Tamr and Amazon Web Services.
Paul Balas, former Chief Advisor Advanced Analytics at Newmont, discusses new strategies for replacing rules-based master data management (MDM) with modern approaches
Michael Stonebraker shares why data mastering is the only solution that can scale as you do and why traditional rules-based systems are failing.
In this webinar, the U.S. Air Force SEEK Eagle Office CDO shares how her team leverages Tamr to manage data lake extraction projects.
Traditional data mastering solutions prevented Sunovion Pharmaceuticals from using its data to drive business results. They didn’t scale and adding new data sources was challenging. With Tamr, Sunovion quickly added new data sources and leveraged machine learning to master its data…
In order to compete successfully in the modern world, financial institutions must evolve. Those that leverage machine learning successfully will deliver cost savings, reduce risk, improve compliance and drive tangible business value across their organization.
Tamr’s Well Data Mastering Solution solves the problem of dirty, disparate well data across all of an E&P company’s departments. Using human-guided machine learning that is scalable to any level, the software can cleanse and integrate the various information sources…
December 11th, 2019 at 4pm GMT/11am EST/8am PDT Presented by Aidar Orunkhanov – Solutions Director at Tamr About this Webinar: Customer Identification Program and Customer Due Diligence requirements were rolled out years ago with two primary goals: Enable financial institutions to…
Master data management (MDM) software turned 15 years old this year. Originally launched in 2004 by SAP, master data management systems aimed to help resolve the data unification problem by creating a central source of standardized references to customers, products,…
What exactly is machine learning? And, more importantly, what are its applications for common challenges that enterprises encounter with Big Data?
