[Webinar] AI & the knowledge and document lifecycle

Artificial Intelligence (AI) is transforming the way businesses manage and exploit their knowledge. Companies generate vast amounts of information, but it is often scattered, difficult to find and mobilise effectively. Fortunately, AI can play a key role in structuring this knowledge and making it more accessible. In this article, we will explore how AI, and in particular conversational and generative AI, can help businesses make better use of their knowledge capital.

Knowledge is ubiquitous in businesses, but often difficult to mobilise. While structured data such as that contained in databases or business tools is easily accessible, a large proportion of information remains hidden in unstructured form: documents, emails, notes, videos, etc. Represented as the submerged part of an iceberg, this mass of information represents around 80% of the knowledge produced. The challenge is to make use of this buried wealth, and that’s where artificial intelligence comes in, by making it easier to access, understand and use all of an organisation’s knowledge.

AI: A lever for structuring corporate knowledge

Corporate knowledge is everywhere: in documents, emails, internal databases and even in the heads of employees. However, once this knowledge has been collected, it can become difficult to exploit. The difficulty lies in the organisation and accessibility of this data. To meet this challenge, AI offers powerful solutions for better structuring, organisation and rapid access to this information.

Artificial intelligence can be divided into two main families :

• Conversational AI: This enables interaction with automated systems (chatbots, virtual assistants) to retrieve and use knowledge quickly, directly from the tools that employees use on a daily basis.
• Generative AI: This is capable of creating content or extracting information from unstructured sources (documents, emails or websites), making it possible to extract value from data that would otherwise have remained inaccessible or unused.

These two types of AI can be combined to offer a powerful and comprehensive solution for enterprise knowledge management.

AI use cases at Hubi.ai

Hubi.ai is a company specialising in knowledge management using artificial intelligence. In 2020, we launched our platform to help businesses harness their knowledge capital and automate certain processes using AI. Here are some concrete examples of how AI is being used in knowledge management at Hubi.ai :

• Integrating document content with chatbots
  Conversational AI makes it possible to link internal content (documents, procedures, FAQs) with chatbots. The chatbots can then provide instant responses to users, making access to information fast and seamless.
• Data extraction and enhancement
  Thanks to generative AI, we can extract information from internal documents or public websites and organise it into easily searchable knowledge bases. This data can then be certified by experts before being made available to users. You can also associate certain documents directly as data sources for a chatbot, which will then be exploited in real time by the generative AI to provide users with the most relevant answers, without polluting external data.
• Connectivity with business tools
  Our platform can connect directly to common business tools (such as human resources management systems or project management tools), enabling users to access information without leaving the tool they are already using.

Hubi.ai : A platform that makes AI integration easy

AI integration at Hubi.ai is designed to be simple and intuitive. We offer user-friendly tools that enable teams to create and manage their own knowledge bases. Artificial intelligence, whether conversational or generative, can improve productivity and free up time for more strategic tasks.

Many customers use our platform to reduce the repetitive tasks of their experts. One example is IT departments, who can simply provide a chatbot fed by their application documentation. Thanks to generative AI, users can very quickly find the answers to their questions in documentation that can sometimes be too rich for a traditional search for information. We can also mention the legal department of one of our customers, for whom AI has enabled them to reduce repetitive tasks and respond more quickly to internal requests, which has considerably improved the team’s efficiency.

The concrete benefits of AI for the enterprise

The objective of AI in knowledge management is not simply to automate processes, but to facilitate access to information at the right time. For example, rather than searching through an old PDF file or a long chain of emails, AI makes it possible to quickly find the answer you need. This reduces search time and helps teams to be more productive.

The combination of conversational and generative AI also makes it possible to add value to existing content that would otherwise have been lost or neglected. By automating the search for information and making it accessible to everyone, companies can offer a better service to their employees while reducing repetitive tasks.

AI is no longer just a technological revolution, it’s a tangible improvement in the day-to-day lives of your employees !

👉 To find out more and see some practical demonstrations, watch the recording of our webinar here : https://youtu.be/o_lLECAz0qo