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Maximizing Data Relationships with Text Analytics: LLMs and Knowledge Graphs
Manage episode 420005430 series 2879792
EM360 द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री EM360 या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
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
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