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From model training and feature engineering to contextual understanding and interpretability, knowledge is incredibly valuable to AI systems. While AI runs on data, knowledge is what helps it understand and interpret data more effectively. Therefore, knowledge is essential to building AI solutions that are relevant, effective, and aligned with real-world needs.
This makes knowledge management equally important to the success of AI initiatives. For AI systems to leverage existing knowledge, relevant information and expertise have to be effectively captured, organized, and utilized. By integrating domain-specific knowledge, AI models can be trained on more relevant and meaningful data. Proper KM practices also ensure that knowledge bases are continuously updated and relevant – ensuring that AI systems remain accurate.
To dive into the key components and best practices for knowledge-based AI, KMWorld is hosting a special roundtable webinar on November 5th. Learn from Verint, Northern Light, Lucidworks, and Happeo about
- The range of AI-enabled approaches to evolving and extending knowledge
- How to have the best first 20-seconds ever in a business research project
- AI-powered conversational search amplifying the value of your knowledgebase
- Why generating text is just the tip of the AI iceberg
Don't miss this live event on Tuesday, November 5th, 11:00 AM PT / 2:00 PM ET. Register Now to attend the webinar Enabling Knowledge-Based AI.
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MODERATOR |
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John Chmaj
Sr. Director, KM Strategy
Verint |
David Seuss
CEO
Northern Light |
Brian Land
VP, Sales Engineering
Lucidworks |
Antero Hanhirova
Founder & Chief Innovation Officer
Happeo |
Marydee Ojala
Editor-in-Chief
KMWorld magazine |
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