Cost Management / FinOps / Architecture / Enterprise AI
Data & AI Cost Management Podcast
Designing cost-efficient Data and AI platforms: capacity planning in Fabric, DBUs in Azure Databricks, token cost in Foundry, Power BI optimisation, FinOps, chargeback and the trade-off between performance and price.
11 episodesavg. 18 minLast update: 2 September 2026EnglishPodcast hosts Laura Bennett and Mark Sullivan
Now playing
Episode 1.9 - Measuring AI ROI Without Guessing
0:000:00
Sign in to track your progress automatically in My Learning Journey.
All episodes
Also on SpotifyPractice what you learned
Apply the concepts from this episode right away in the Architecture Lab.
- Capacity and cost of a Data and AI platformBring a bill down without sacrificing performance.
- Design your Data & AI platformSee what each choice costs before you make it.
Learn more?
Go deeper on the same topic.
How-tos
How to estimate the cost of a Foundry agent or a Copilot agentA costing method for agents: which meters run on each platform, how to work through tokens, retrieval and tools, and the costs everyone forgets.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.
Do you have a similar challenge?
Use the podcasts as inspiration, or share your own Data & AI challenge with us.