Discover the most valuable AI opportunity for companies

Most organizations are now experimenting with artificial intelligence. Think of AI tools for customer service, content creation or data analysis. But there is one application that is rarely used, while the impact can be huge:

👉 Training a language model with your own business data to democratize internal knowledge.

In this article, I'll explain what this means, why it's so powerful, and how you can get started today.

What does it mean to “democratize” knowledge?

There is a lot of knowledge within organizations in three places:

1. In the minds of experienced employees
2. In documents that are distributed unstructured across SharePoint, Google Drive, or network drives
3. In emails, minutes, or systems that are difficult to search

The result?

• You are dependent on certain people
• New employees take a long time to get up to speed
• Historical knowledge (such as why a choice was made 5 years ago) is untraceable

Knowledge democratization means: give everyone in your organization easy access to the right information, at the right time.

How AI and language models help with this

Modern Large Language Models (LLMs) like GPT-4 are perfectly capable of understanding large amounts of unstructured text. By combining these models with your internal data and documents, something powerful is created.

The key: Retrieval-Augmented Generation (RAG)

With RAG enrich the language model with real-time access to your own business information. As a result:

• Do you get accurate answers on company-specific questions
• Does your data stay safe and within your own environment?
• Can you get an internal AI Knowledge Assistant build that is available 24/7

Think about questions like:

• “What are the guidelines for customer X?”
• “How did we approach that project last year?”
• “What are our agreements about delivery terms?”

What does this mean in concrete terms?

✅ Efficiency: Employees spend less time looking for information
✅ Continuity: Business knowledge is retained, even with staff turnover
✅ Faster onboarding: New colleagues have immediate access to crucial knowledge
✅ Better decision making: Based on existing experience and documents
✅ Competitive advantage: You capitalize on the unique knowledge (IP) that you have built up

Why are so few companies already doing this?

Many organizations think this is complex or expensive. But the technology is available, affordable and safe to implement — provided you do it right.

The key?
A reliable AI partner and the right data structure. Start small, for example with a defined department or document collection, and then scale up.

Conclusion: Don't miss out on this AI opportunity

Training a language model with your own business data to unlock knowledge is one of the most underrated uses of AI. While the profit is enormous, both operationally and strategically.

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Want to know how? Go to the The Automation Group website

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