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AI in Academic Libraries: Iris.ai presents the brand new Researcher Workspace

UPCOMING WEBINAR

Academics - RW

πŸš€ Iris.ai presents the brand new Researcher Workspace πŸš€

In the era of Industrial Revolution 4.0, academic libraries play an indispensable role in fostering text analysis skills among their users. After years of research and development in the field of AI and Machine Learning, we are excited to support libraries in their mission and launch The Researcher Workspace (RW), a comprehensive AI platform for all your research processing. The suite of tools entails our AI-based tools, like Search, Filter, Analyze, Summarize, Extract - all united in one single platform! Both students, researchers and librarians can now use AI to discover, analyze and understand scientific contexts in a fraction of the time.

πŸ’‘In this webinar you will learn:

  • How AI tools leverage library services
  • What the Researcher Workspace is (there will be a demo!✌️)
  • How you can use it for your research & enhance your AI skills
  • What the benefits of using the Researcher Workspace are
  • What the different modules are and how they are used
  • How the tools can be adapted specifically on your field of research
There will be room for questions during the webinar, and all registered participants will receive a recording of the webinar for on-demand viewing. πŸ‘ˆ

28 April 2022

10 am CEST

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About the presenters

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

Jan Luprich is a Business Development Manager, having 15 years of experience in the field of scientific information tools for R&D and academia.

Kimberly Holtz is an Account Manager at Iris.ai and has been part of the Iris.ai team and journey since 2020.


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Foto_Kimberly Holtz