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EPAM and Sinequa Partner to Solve Cognitive Search Challenges in Pharma

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sinby Angela Guess

According to a new release out of the company, “EPAM Systems, Inc., a leading global provider of product development and software engineering solutions, and Sinequa, a leader in Cognitive Search and Analytics and a founding sponsor of the Cognitive Computing Consortium, today announced a partnership to deliver search and analytics solutions for data-driven Global 2000 companies in the pharmaceutical industry. The combination of EPAM’s strong Big Data solutions practice and Sinequa’s unique Cognitive Search and Analytics platform offers customers the ability to gain quick, actionable insights from their structured and unstructured data.”

The release continues, “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.”

Richard Golob, Vice President and Global Head of Life Sciences at EPAM, commented, “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… “With that in mind, we are pleased to join Sinequa’s Partner Advantage Program, which will allow us to offer high-value solutions in areas of importance in Life Science R&D, as well as Big Data mining.”

Read more at Nasdaq.

Photo credit: Sinequa

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