Use Cases

Discover how SciBite’s powerful solutions are supporting scientists and researchers.

Use Cases Overview

Bioassay Registration Departmental Search Drug Safety Electronic Laboratory Notebooks
Enterprise Fair Data LLMs & GenAI Knowledge Graphs Target Validation + Drug Repositioning
Gartner report

Gartner® How to calculate business value and cost for generative AI use cases

Access report

Read report

Knowledge Hub

Explore expert insights, articles, and thought leadership on scientific data challenges.

Knowledge Hub

Resources

Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.

Resources

Events

Join us at upcoming events and webinars to learn more about SciBite solutions.

Events

News

Stay informed with the latest SciBite updates, announcements, and industry news.

News

Learn more

About SciBite

Explore SciBite’s full suite of solutions to unlock the potential of your data.

Discover more about us

Why SciBite Management Team SciBite Academy Careers
Our Partners

We build powerful partnerships with world-leading organizations.

Our Partners

Clinical Data Partners Data Management Platforms ELN Partners Enterprise Search Partners Knowledge Graph Partners

Learn more

Contact Us

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
LinkedIn
Share this article
Relevant resources, events and news
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

Read more

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.

Read more

https://scibite.com/knowledge-hub/news/revolutionizing-life-sciences-part-2-future-of-ai-in-life-science/ thumbnail image News Revolutionizing life sciences [Part 2]: The future of AI in life sciences

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

Read more