By Deborah Jepson |
March 21, 2025
Define the initiatives to become AI ready
As enterprise AI tools, such as Microsoft Copilot, work with your enterprise content, Gen AI success also depends on a well-structured information architecture. Without this, AI systems typically struggle to generate meaningful results and offer real value.
And we know that addressing the above is essential to realise the benefits that AI can offer.
So, how do you get started?
Metataxis proposes a three-staged adoption plan to support AI implementation success. The first stage is data discovery. The second stage to AI success is all about building the right foundations.
Step 2 for AI success: Foundations
To maximise the value AI, you need to consider how AI will be governed and what accommodations must be made to any existing governance programmes to ensure that AI is used in a secure, fair and compliant manner.
Here at Metataxis, we recommend implementing a robust information architecture to improve data organisation, to enhance semantic understanding to deliver more accurate AI outputs as well as maintaining compliance with regulations. We also suggest that organisations look to introduce a strong AI governance programme to support data security and privacy, while minimising errors in AI outputs and avoid any unintended releases of sensitive and classified information.
Build the foundations to successfully adopt AI
You know the key to AI success lies in data governance, yet all of this can appear quite overwhelming. That’s where we come in. As information management experts, we can help you get your organisation AI ready, so you can maximise the value of your AI investments.
