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SciBite / Knowledge Hub / Resources / How important is SME in life sciences when using technology and AI [Webinar]

How important is subject matter expertise in life sciences when using technology and AI [Webinar]

Overview

This webinar is an excellent opportunity for anyone interested in the intersection of technology, artificial intelligence, and life sciences.

Webinar highlights
  • The importance of subject matter expertise (SME) in ensuring the accuracy and applicability of artificial intelligence models and other technologies in life sciences.
  • The role of expert input in developing, fine-tuning, and applying these technologies and how this can affect end-users.
  • How the lack of such expertise can result in factual errors with significant consequences.

Presenter

Joe Mullen PhD, Director of Technical Consultants, SciBite
Watch the full webinar
Joe Mullen
Director of Data Science & Professional Services, SciBite

Leading SciBite’s data science and professional services team, Joe is dedicated to helping customers unlock the full potential of their data using SciBite’s semantic stack. Spearheading R&D initiatives within the team and pushing the boundaries of the possible. Joe’s expertise is rooted in a PhD from Newcastle University, focussing on novel computational approaches to drug repositioning; building atop semantic data integration, knowledge graph & data mining.

Since joining SciBite in 2017, Joe has been enthused by the rapid advancements in technology, particularly within AI. Recognizing the immense potential of AI, Joe combines this cutting-edge technology with SciBite’s core technologies to craft tailored, bespoke solutions that cater to diverse customer needs.

Other articles by Joe

  1. Are ontologies still relevant in the age of LLMs? read more
  2. What is Retrieval Augmented Generation, and why is the data you feed it so important? read more
  3. Large language models (LLMs) and search; it’s a FAIR game, read more
  4. Revolutionizing Life Sciences: The incredible impact of AI in Life Science [Part 1], read more
  5. Why use your ontology management platform as a central ontology server? read more
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https://scibite.com/knowledge-hub/news/are-ontologies-still-relevant-in-the-age-of-llms/ thumbnail image News Are ontologies still relevant in the age of LLMs?

Explore the role of ontologies in the era of LLMs & why ontologies remain key for precise data management & decision-making in various domains

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https://scibite.com/knowledge-hub/news/revolutionizing-life-sciences-part-1/ thumbnail image News Revolutionizing life sciences [Part 1]: The incredible impact of AI in life sciences

In part 1 of this 2 blog series, we outline the impact of AI in Life Science and illustrate the various success stories of AI in Life Science.

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In part 2, we introduce some specific text-based models whilst also discussing the challenges and future of AI in Life Science.

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