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Unleashing knowledge through SciBite technology [SciBite + Chr. Hansen webinar]

Hear from Chr. Hansen’s Head of Library, Jan Hansen and Senior Principal Scientist, Morten Meldgaard as they tell the story of how Chr. Hansen seized on an opportunity; successfully using SciBite’s technology to enable an established system (eg. Electronic Lab Notebooks) to empower scientists with semantic search.

A cornerstone to the R&D strategy of Chr. Hansen A/S, the bioscience-based food ingredient company, is to establish capabilities within big data to enable a step change in data-driven innovation. Typically speaking, new innovations are built on top of what is already known – “If we can just find what we already know!” This is where SciBite’s data first technology solutions came to the rescue.

During this webinar, Chr. Hansen will also share their learnings that were collected along the journey. Furthermore, they will discuss some of the challenges faced, such as the need for a change in mindset and habits of scientists to ensure that semantic search is used to its full potential. You will also hear from SciBite’s Lead Technical Consultant, Joe Mullen as he gives an overview of the SciBite technology Chr. Hansen utilised.

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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