(February 27, 2019)

Sponsored by

Webinar Description:

"Relevant knowledge at the right time is priceless in the enterprise", according to Forrester. This is particularly true in the highly competitive pharma industry where knowledge is hidden in a deluge of structured and unstructured data of all kinds, buried among publicly available sources like trade databases, scientific publications, and patents, and internally from R&D, clinical trials, recorded patient interviews and more.

During this 40-minute session, Sean Liu, Global Head of Translational Science Systems at Takeda Pharmaceutical will introduce the genesis of AI-powered Search & Analytics at Takeda on their Journey to become Information-Driven.

Jeff Evernham, Vice President of Customer Solutions at Sinequa will present on the state of the art of Search & Analytics and how large organizations leverage this technology to:

• Alert researchers to the latest scientific developments in their fields
• Identify the most suitable scientific partners
• Surface networks of experts and Key Opinion Leaders on any given subject
• Find and discover research trends
• Access information on drugs and diseases starting from chemical structures

Speakers:

Sean Liu - Global Head of Translational Science Systems – Takeda Pharmaceuticals

Based in San Diego, Sean Liu is responsible for IT support for existing and future applications and platform technology needed to support the company's Translational Medicine, Pharmacogenomics, Quantitative Clinical Pharmacology and Imaging Biomarker business domains. Partner with the computational biology, data science and other functional areas on internal and public content integration, ontology management, and knowledge mining. Sean has been leading the implementation of cross R&D Scientific Knowledge Mining platform development based upon Sinequa’s AI-Powered Search & Analytics platform.

Jeff Evernham – Vice President of Customer Solutions - Sinequa

Jeff Evernham is managing the company's Consulting team in North America, composed of Sales Engineers, Solution Engineers and Solution Architects. He holds a Master of Engineering degree from MIT.