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Microsoft Azure@Power Assets

Power Assets Modernizes Model Serving with Microsoft Azure

Power Assets, a utilities organization in Hong Kong, uses Azure from Microsoft Azure to support applied AI delivery for ML and product teams.

Value results

CategoryValue result
ProductivityFewer stalled items because model serving has a clear owner
ProductivityHandoffs in applied AI delivery sit in a shared queue instead of a mailbox trail
CapabilityNew joiners can see how applied AI delivery actually runs

Story

Power Assets grew model serving faster than the local tools around it. From Hong Kong, utilities teams still had to serve customers and internal partners who expected a straight answer. ML and product teams were the ones stitching the picture together by hand.

Rolling out Azure put applied AI delivery on Microsoft Azure. Microsoft Azure is a public cloud platform for infrastructure, data, AI, and application services used by enterprises to host and modernize workloads. Power Assets keeps the product in the path where work already happens, so ML and product teams do not context-switch into a graveyard system used only for audits.

The visible result is steadier applied AI delivery. Model serving is easier to inspect, and adjacent groups can join ML and product teams without a guided tour of someone's desktop.

Relationship map

Power Assets uses Microsoft Azure, Siemens Digital Industries Software, Cloudflare, Informatica, Snowflake, Atlassian, Autodesk, Zoom, Synopsys. Shared with Fujitsu, Hexagon, Krones AG, SPAR Holding BV, Teladoc Health. Industry: Utilities. Value: Productivity, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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