HomeWebinarsHow FAIR Lab Data Can Expedite Your Drug Discovery AI Programs?

How FAIR Lab Data Can Expedite Your Drug Discovery AI Programs?



Unstructured scientific data is one of the biggest drains on productivity in the pharmaceutical industry today, at an estimated impact of €10 billion per year. In this talk we will explore the hidden costs that data silos and proprietary file formats have—from manual data-cleansing to compliance to enterprise-wide digital transformation. In addition, we will discuss why open data standards and technologies that adhere to the FAIR principles of findability, accessibility, interoperability, and reusability are key enablers for innovations based on AI, ML, advanced analytics, and more.

What Does it Cover?

  • Data-driven business models
  • Using standards to integrate instruments with LIMS and ELN
  • Storing instrument data in the cloud
  • Converting instrument data into the open AnIML format
  • Controlling instruments using SiLA
  • Data Integrity

What Will You Learn?

  • Learn more about how open standards can actually be used
  • Learn how data integration and standardization can accelerate speed to market
  • Learn more about the direct and indirect business impacts of your organization’s data policies


Hayden Boehm

Hayden Boehm


Head of Commercial Marketing

Haydn Boehm has over 20 years of experience in marketing and business development within the Life Scientific sector. He has a Ph.D. in Organic Chemistry from the University of Nottingham, UK.

Webinar Information

Research and disease areas

  • Pharmacology and drug discovery research
  • Duration:25min

  • Language:English

  • Presented:Wed, April 14, 2021