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With the emphasis on Big Data, predictive capabilities and speed of insights continue to transform the Life Sciences industry. The partnership enables organizations, facing the common challenge of effectively leveraging valuable insights extracted from large and diverse silos of data, to improve collaboration and streamline business operations. Customers will benefit from EPAM’s extensive Big Data expertise and their experience developing innovative, search-based applications on top of Sinequa’s platform. The partnership also allows customers to leverage best-in-class capabilities provided by Sinequa, including Natural Language Processing, Machine Learning, text mining, and powerful semantic analysis.
“As the Life Sciences industry continues to undergo unprecedented transformation to deliver more value-based and personalized medicine, the capability to integrate vast data resources and translate them into meaningful, actionable insights is critical,” said
“Our clients believe that digital transformation relies mostly on making information available faster with contextual insight,” said Xavier Pornain, Vice President, WW Sales and Alliances, Sinequa. “EPAM brings experienced scientists and experts to implement and quickly customize our unique Cognitive Search and Analytics platform, allowing our customers to extract new and useful business insights from the vast quantities of available data.”
About
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About Sinequa
Recognized as a leader in the Gartner Magic Quadrant for Enterprise Search and other analysts’ reports, Sinequa provides a cognitive search and analytics platform for Fortune Global 2000 companies and government agencies. Using advanced Natural Language Processing (NLP) and Machine Learning algorithms, the solution offers insights extracted from structured and unstructured data. Millions of users in the world's largest and most information-intensive organizations, including Airbus,
Forward-Looking Statements
This press release includes statements which may constitute forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, the accuracy of which are necessarily subject to risks, uncertainties, and assumptions as to future events that may not prove to be accurate. Factors that could cause actual results to differ materially from those expressed or implied include general economic conditions and the factors discussed in our most recent Annual Report on Form 10-K and other filings with the
CONTACT:Danielle Ruess-Saltz M: 267.978.7688 danielle_ruess-saltz@epam.com CONTACT:Erin Jones Avista PR for Sinequa 704-664-2170 ejones@avistapr.com