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Explore how Elsevier's full-text datasets and ScienceDirect AI can play a key role in AI/ML applications across R&D processes. See how, with the addition of author profile and citation data, you can build out relevant KOL networks and identify new trends in key areas (e.g. OLEDs, battery science, renewable energy, autonomous vehicles and quantum computing).

You will learn:

  • The role datasets play in supporting insight generation across diverse use cases

  • What's included in Elsevier’s full-text and abstract datasets

  • How turnkey AI tools like ScienceDirect AI can support similar use cases

  • Get your questions answered by a domain expert.
Presenters
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Ritu Bhandari
Customer Success Consultant
Ritu is a Customer Success Consultant specializing in Elsevier datasets, dedicated to empowering R&D-intensive organizations to gain valuable insights from Elsevier's comprehensive data offerings. Her primary responsibilities include guiding organizations in their digitalization journey, leveraging and orchestrating data to facilitate informed decision-making, and providing strategic support.

Ritu joined Elsevier in 2021, bringing with her a PhD and extensive research experience in Human Neuroscience and Neuroimaging. She has published ten articles in high-impact, peer-reviewed journals, showcasing her expertise and commitment to advancing scientific knowledge. At Elsevier, she continues to contribute to the scientific community by helping impact makers succeed and advancing their R&D agendas.

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Paul Dockerty
Customer Engagement Manager
Paul has a PhD in chemical biology from the University of Groningen, where he focused on the development of chemical probes based on an enol-carbamate scaffold. He has a passion for data, digital transformations and applying change management in the field of science.
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