Maximizing Data Relationships with Text Analytics: LLMS and Knowledge Graphs

Published on
Ontotext Thumbnail

Maximising data relationships through text analytics, particularly with tools like LLMS and Knowledge Graphs, offers organisations unprecedented insights and capabilities. By leveraging these advanced technologies, businesses can unlock hidden connections and patterns within their data, leading to more informed decision-making and strategic planning. 

Integrating Ontotext's solutions is a game-changer, empowering organisations to extract, organise, and visualise complex information from unstructured data sources. With Ontotext's expertise in semantic technology, businesses can construct robust knowledge graphs that offer a comprehensive understanding of their data landscape. This comprehensive approach not only facilitates better analysis and interpretation of data but also ignites innovation and propels business growth in today's increasingly data-driven world.

In this episode of the EM360 Podcast, Paulina Rios Maya, Head of Industry Relations, speaks to Doug Kimball, Chief Marketing Officer at Ontotext, to discuss: 

  • AI in Enterprise Knowledge 
  • LLMs 
  • Knowledge Graphs 

Chapters

00:00 - Challenges of Integrating LLMs into Enterprise Knowledge Management Systems

04:35 - Enhancing Compatibility and Efficacy with Knowledge Graphs

07:21 - Innovative Strategies for Integrating LLMs into Knowledge Management Frameworks

11:07 - The Future of LLM-Driven Knowledge Management Systems: Intelligent Question Answering and Insight Enablement

Join 34,209 IT professionals who already have a head start

Network with the biggest names in IT and gain instant access to all of our exclusive content for free.

Get Started Now

Meet the panel