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Data Extraction with AI- for signal detection, competitor monitoring, R&D +

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Automating the tedious work of extracting data from documents.

About this Event

In this webinar, you will learn how companies in the chemistry, material science, biotech, medical and pharmaceutical industry are turning to automation for their data extraction tasks.

Automatic extraction can generate massive efficiency gains in systematising data points like experiment data or implicit chemical formulas from patents, adverse effects from clinical trials or research papers - and a plethora of other areas. What the tasks all have in common is that hundreds or thousands of documents need to be read in detail to be able to find, connect and systematize the numbers into an excel sheet or database.

With automatic extraction, months of manual tedious labor can be done in minutes, at higher than human accuracy.

In this webinar you will learn:

  • the simple functionality and the complex technology behind automated extraction
  • how the system is trained on specific data points and domains
  • how data extraction is done in industry through several demos in different domains
  • how to measure accuracy through precision and recall metrics
  • about the “self-assessment” module, where the tool evaluates its confidence in the results to simplify human validation.

There will be room for questions during the webinar, and all registered participants will receive a recording of the webinar for on-demand viewing.

About the Presenters:

Iris.ai has spent the last five years building an award-winning AI engine for scientific text understanding.

Anita Schjøll Brede is the CEO of Iris.ai, as well as Faculty in Artificial Intelligence at Singularity University.

More interested in general navigation of research results? Join our webinar on Automating Post Market Surveillance on March 9th instead - or as well!

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