Is Your Knowledge Content
Ready for Large Language Models?
Key Challenges and Strategies for Success |
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More than 53% of enterprises are creating customer service chatbots - making it the #1 use case for financial investment in generative AI(1). But as promising as generative AI and chatbots can be, they come with significant challenges — and the success of these systems starts with the quality of your content.
In this webinar, we'll explore the biggest risks and challenges companies face when deploying LLMs, particularly in high-volume, fast-paced environments like customer service. You'll learn why content quality is a critical factor for AI success and why relying solely on generative AI isn't enough. From inconsistent terminology to unclear or non-compliant messaging, we'll dive into why bad quality content can derail your AI efforts and how a content governance solution helps mitigate these risks.
What You'll Learn:
- The "Garbage In, Garbage Out" problem: Why poor-quality content leads to poor AI performance and frustrated customers — and how to fix it.
- How enterprises are managing the hidden risks of AI implementations by mitigating compliance issues in AI generated content.
- Proven strategies to prepare your content for LLM ingestion, including scalable approaches to standardizing, refining, and governing support content.
Don't miss this live event on Tuesday, February 18, 11 AM PT / 2 PM ET.
Register Now to attend the webinar Is Your Knowledge Content Ready for Large Language Models? Key Challenges and Strategies for Success.
(1) CRN, Oct 4, 2024 |
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| SPEAKERS |
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Shane Cumming
President & CRO
Acrolinx |
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Jean Bezek
Senior Solutions Consultant
Acrolinx |
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| MODERATOR |
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Marydee Ojala
Editor-in-Chief
KMWorld magazine |
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