Integrating LLMs with a private Knowledge Platform [Webinar]
Take a transformative journey with our experts into integrating Large Language Models (LLMs) with private knowledge platforms.
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Resource type
On-demand video
Request the on-demand version of Datavid’s webinar “Integrating LLMs with a private Knowledge Platform”.
This webinar is a transformative journey where our experts delve into the integration of Large Language Models (LLMs) with private knowledge platforms.
In a world where AI is not just a buzzword but a business necessity, our webinar offers invaluable insights into leveraging this technology for practical, business-enhancing applications.
What you'll discover:
This webinar is a transformative journey where our experts delve into the integration of Large Language Models (LLMs) with private knowledge platforms.
In a world where AI is not just a buzzword but a business necessity, our webinar offers invaluable insights into leveraging this technology for practical, business-enhancing applications.
What you'll discover:
- Introduction & Company Overview: Learn about Datavid's mission in data consultancy, specializing in extracting value from both structured and unstructured data.
- Aligning Business Value & Technology: Explore how businesses can innovate while maintaining consistency and long-term value through AI integration.
- Technical Insights & Live Demo: Witness firsthand the capabilities of AI in enhancing search, automating processes, and boosting knowledge worker productivity.
- Interactive Q&A Session: Get insights from the Q&A with our panel of experts, including Sales Director Clive Smith, Director Tim Padilla, and Co-Founder & CTO Silvia Chirila.
- Understanding the business use cases for Generative AI.
- Insights into managing emerging technologies like AI and predictive machine learning.
- Strategies for aligning problem solving with data strategy.
- Demonstrations of AI applications in knowledge management and data processing.
Download your resource
You'll receive it by e-mail immediately upon submission.