Cost Management / FinOps / Architecture / Enterprise AI

Data & AI Cost Management Podcast

Designing cost-efficient Microsoft Data and AI platforms: capacity planning in Fabric, token cost in Foundry, Power BI optimisation, FinOps, chargeback and the trade-off between performance and price.

Listen on Spotify

2 episodesavg. 4 minLast update: 4 August 2026EnglishPodcast host Linda Bujitu

Now playing

Episode 1.1 - Why AI Costs Scare Everyone

0:000:00

All episodes

Also on Spotify

Practice what you learned

Apply the concepts from this episode right away in the Architecture Lab.

Open the Architecture Lab

Learn more?

Go deeper on the same topic.

Architecture patterns

RAG reference architectureRetrieval-Augmented Generation with Foundry and Azure AI Search: the components, the choices per component and where it goes wrong in practice.AI AgentsFrom chatbot to agent: when you need tools, memory and orchestration, and when an agent is overkill.

How-tos

How to build a cost model for a Fabric platformFrom workloads to capacity units to a monthly figure: a method you can use before you build and test against reality afterwards.How to set up chargeback and showbackAllocating cost to departments across Azure and Fabric, without the argument about the allocation key crowding out the real conversation.How to choose an LLMA selection framework for model choice in Microsoft Foundry: from requirements to shortlist to a measurable decision, without benchmark bingo.

Use cases

Retail: capacity cost under control across seven countriesA retailer running seven country organisations on one shared Fabric capacity hit throttling and an unexplainable bill. Splitting, measuring and allocating cut cost by a third without losing functionality.

Do you have a similar challenge?

Use the podcasts as inspiration, or share your own Data & AI challenge with us.

Share Your Challenge Email info@techexplained.nl