My contract ends 9 Dec and I'm open to new roles.
10+ yrs in Pacific data systems, incl. leading tech for PNG's first digital census (10M+ records on AWS).
Data systems · Cloud/DevOps · Digital govt · IT leadership
PNG, Pacific or remote. DMs open. #OpenToWork
If the development of AI slows down, especially with AI model advancements, where would you stand?
This is probably one of the fundamental questions I am stressed about lately.
My knowledge and experience with AI is quite limited, and possible the same as 90% of the mass.
I want to change that.
If you would recommend resources to go further, what would they be?
If you're already using Power BI as a reporting layer, with Dataverse as a source, how should you streamline the process so that Fabric fits in?
Or is it even the right question to be asking?
Microsoft Fabric is replacing Power BI - well, that's what my mind thinks.
Reality: Fabric is the platform. Power BI is the experience that lives inside it.
You don’t choose one or the other.
Microsoft Fabric is fundamentally changing the way we look at enterprise AI.
I want to look at how this shift changes the way data teams work, what frameworks they should look at, and what some of the cost benefit considerations are.
Any thoughts on this, let's chat.