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Creating Scientific Data for Analytical Development

Enterprise Knowledge Graphs – Transforming Data into Knowledge


Lindsey Weed, Ph.D., Scientific Business Analyst, TetraScience

Gordon Hayden, Chief Growth Officer, Semantic Web Company


December 5, 2023

Heterogeneous Data Formats Prohibit Advanced Analytics and AI

The pharmaceutical industry is experiencing a surge in scientific data due to the growing complexity of new therapeutic modalities and the urgency to bring improved therapeutics to market more efficiently. However, this valuable scientific data is often trapped in on-premise instrument control and acquisition software, compounded by the challenge of dealing with diverse vendor-specific data formats, thus inhibiting the potential of AI.

Is Engineered Scientific Data the Force Multiplier for AI?

In this webinar, we will explore a use case involving a leading pharmaceutical company that aims to provide its scientists and engineers with analytics and AI-ready data across multiple laboratories, departments, and facilities.

By making this data available, scientists can leverage prior work to inform their actions and improve scientific outcomes. Moreover, they can identify and accelerate the most promising scientific strategies , leading to substantial time and cost savings.

This webinar will address several crucial aspects of maximizing the value of scientific data in the biopharmaceutical industry, including:

  • Centralizing and harmonizing scientific data
  • Improving collaboration and data sharing
  • Leveraging Semantic AI in biopharma
  • Managing diverse taxonomies efficiently
  • Automating data preparation and engineering

Don’t miss this opportunity to discover how your organization can maximize the value of your data and accelerate scientific advancements through AI.


Lindsey Weed, Ph.D.

Lindsey Weed, Ph.D.

Scientific Business Analyst at TetraScience

Lindsey is a member of the scientific applications product team at TetraScience. She leverages her past experience as a bench scientist at both biopharmaceutical and biotechnology companies to understand how daily data management challenges impact scientific insight and action so that she can create productionized, end-to-end data workflows for scientific use cases.

Lindsey received her Ph.D. in Molecular and Cellular Biology from the University of Pennsylvania with a concentration in viral-mediated gene therapies. She is passionate about the benefits of data sharing and open science.

Gordon Hayden

Gordon Hayden

Chief Growth Officer at Semantic Web Company

Gordon Hayden is Chief Growth Officer at Semantic Web Company (SWC), the provider and developer of the PoolParty Semantic Platform. With headquarters in Vienna, Austria, but operating globally, SWC has worked with over 200 commercial, government, and non-profit organizations to deliver AI and semantic search solutions, knowledge platforms, content hubs, and related data modeling and integration services. SWC was named to KMWorld’s prestigious list of “100 Companies that Matter in Knowledge Management” from 2016 to 2022 and has been named multiple times in Gartner’s Magic Quadrant for Metadata Management Solutions and as a Sample Vendor in their Hype Cycle for Natural Language Technologies.

In his current role, Gordon provides a platform for growth in general for SWC but specifically via Software Partners who require an integration with PoolParty to Semantically enrich their solutions. This covers new additions with an Application Development Framework for ease of use for integrations and a Recommender option.

He is originally from South Africa where he worked at Hewlett Packard and CA Technologies in various roles before moving to Vienna, Austria 5 years ago. He holds an MBA degree from the University of Wales.

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