AI-Powered Content Delivery with Fluid Topics

Fluid Topics

Fluid Topics is an AI-driven platform that unifies content, provides personalized answers, and streamlines delivery.
AI-Powered Content Delivery with Fluid Topics

Fluid Topics: Revolutionizing Content Delivery

Fluid Topics is a game-changer in the world of content delivery. It uses AI to transform all product content into intelligent knowledge, fundamentally altering how users search, find, read, navigate, and engage with information.

The platform's core features are impressive. It ingests various types of product content and unifies them into a centralized smart knowledge hub. This seamless integration with existing systems like CMS, authoring tools, CCMS, helpdesk systems, and other enterprise applications simplifies the content management process.

In terms of basic usage, Fluid Topics streamlines content publishing and delivery. It ensures that customers receive accurate knowledge precisely when and where they need it, across multiple channels such as chatbots, websites, support channels, and community portals.

Another significant advantage is the ability to create contextualized experiences for all users. The AI-powered search engine delivers the most relevant results, tailoring answers to fit each user's product, profile, and unique needs.

Fluid Topics also provides tools to measure and improve the impact of content. It allows organizations to collect feedback, understand user interactions, and refine content to enhance the user experience.

Furthermore, it accelerates the deployment of AI projects by integrating cutting-edge technology. It offers out-of-the-box core services for powering Retrieval Augmented Generation (RAG) scenarios.

The platform has proven results, with savings in publishing costs, a decrease in support tickets, time saved in the delivery process, and a reduction in resolution time.

In conclusion, Fluid Topics is a comprehensive solution that takes content operations to the next level, boosting product knowledge and scaling operations without disrupting existing writing processes.

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