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Building a Unique Knowledge-based Conversational User Interface for Podcasting

Discovering Hidden Knowledge in University’s Library

Applying Nebuli’s DeepVUE knowledge-based composite AI framework and AIQ cited language models to build a unique conversational user interface foundation system for The CEO Retort podcast and journal.

Key Services

  • Augmented Analytics

  • Deep Data Mining

  • Data Strategy

  • Knowledge graph

  • Specialist Generative AI

  • Sentiment Analysis

Key Markets

  • Podcasting

  • Interactive Media

Objectives

In this exciting podcast project founded by our CEO, Tim El-Sheikh, he is leveraging the expertise of Nebuli’s Creative Lab to embody the podcast’s website with a unique convergence of cutting-edge AI technology and human-centred storytelling, engaging the audience in a dynamic and intellectually stimulating interaction with the show’s content.

Nebuli case study – The CEO Retort design outcomes

By deploying our DeepVUE knowledge-based composite AI framework and AIQ cited language models, we are establishing a new foundation system for a conversational user interface for podcasting and the wider interactive media ecosystem.

Nebuli’s Solution

The key generative AI interactions include the following themes:

  • Interactive Q&A sessions where users engage in discussions with individual episodes and the show’s overall content.

  • Virtual roundtable discussions where users can share their thoughts and receive the host’s perspectives on various topics.

  • Personalised recommendations based on user interactions and preferences.

  • Building deeper audience segmentation metrics and sentiment analysis through augmented analytics.

  • AI-driven content suggestions aligned with user interests and previous interactions.

Nebuli's AIQ Digital Asset Provenance and Scoring Model.
Outcomes

The first step of this project was to set up the foundation for content collection and initial data generation as the show evolves and the number of episodes increases.

The core component of the system is Nano AI Framework, which allows for testing and deploying a select group of Large Language Models (LLMs), and automatic knowledge building from the show’s content.

Nano Private AI Workspace Ecosystem – Nebuli

  • We applied context-based composite AI and knowledge embedding framework to understand the diverse range of topics covered in the podcast. This model identifies key themes, sentiments, and connections within the content.

  • We applied Nebuli’s collection of cited and responsible large language models with deep vertical understanding to generate AI-driven summaries, transcripts, and insights for each podcast episode.

  • Through Nano AI Framework, the system can be used to deploy a conversational user interface on the show’s website, providing members with the ability to engage with the show’s content and the host’s ideas.

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