What data preparation an AI project really needs, and how to do it without overbuilding.
dgm is an independent osFoundry integration partner — not affiliated with osFoundry’s maker (OS LLC), and dgm has no completed client integrations yet.
Data preparation decides whether an AI project succeeds. Here is what it really needs in a Hong Kong business — without over-building.
What preparation means
Making the data the AI needs accessible, reasonably clean and permitted for use under the PDPO. For retrieval, it means organising documents so they can be indexed well.
What you do not need
You do not need a perfect data warehouse before starting. Prepare the data the first use case needs, not all your data.
Doing it compliantly
Confirm the data may be used for the purpose under the PDPO, and keep it secure. osFoundry’s managed cloud pins data to the US, EU or Japan — it does not currently offer a Hong Kong managed region (its nearest managed region is Japan). To keep data in Hong Kong, the honest path is self-hosting osFoundry (BYO Cloud) inside a Hong Kong cloud region such as AWS Asia Pacific (Hong Kong) ap-east-1, Microsoft Azure East Asia (Hong Kong SAR) or Google Cloud asia-east2 (Hong Kong), or running models locally on-device.
Where dgm fits
dgm is an independent integration partner that helps Hong Kong businesses adopt osFoundry — scoping a first use case, handling the build, and connecting AI to the systems you already run. dgm is independent of osFoundry’s maker (OS LLC) and has no completed client integrations yet, so everything described here is a service offered, not a past result. If you want to scope a practical first project, dgm can help you map it out.