Posts Tagged - AI

Canada’s National AI Strategy was in the works for several months and was unveiled several days ago. The focus and ambitions (Outcomes for Canada) are good. Some key details are missing in the report, though; hence this post. I carefully read the 50-page report, then put it in an AI system along with several other industry articles and reports (data centre build announcements and surveys, GPU costs, etc.) and validated my conclusions. I hope the next version of this National AI Strategy fills in the information gaps and/or amends the numbers if need be.

An AI notebook/chatbot with Google’s NotebookLM (needs a Google account to access and use)

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Designing a proper platform architecture strategy on the Azure cloud is not trivial, considering the large number of platform options available. In this set of diagrams for Data & AI Architecture on Azure, I’m depicting the main options available and how they potentially could interact with each other in the context of a solution architecture. The C4 methodology is used to do the modeling with architecture-as-code, with 10 views produced.

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Introduction

Designing a fit-for-purpose solution architecture at an enterprise requires consideration of the following three elements:

1. Requirements specific to the new use case (ML / AI / GenAI)
2. The existing IT architecture landscape
3. New candidate platforms and infrastructure that could help fill the gaps

This short article highlights the importance of identifying the intersection among the three elements so that one ends up with a solution architecture that meets the need of the new use case, uses as much as possible components from the existing IT architecture landscape and fills the gaps with tools, platforms or infrastructure that are needed to be brought in to arrive at a viable, working solution architecture.

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