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IBM@Quora

Quora Modernizes Model Serving with IBM

Quora, an information technology organization in the United States, uses IBM watsonx from IBM 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

Quora grew model serving faster than the local tools around it. From the United States, information technology 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 IBM watsonx put applied AI delivery on IBM. IBM offers hybrid cloud, AI, and automation software, including watsonx, Red Hat OpenShift, and observability products for large enterprises. Quora 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

Quora uses IBM, Cartesia, Box, Twilio, Nutanix, Akamai, Cadence, SAS, Intuit, Oracle, Red Hat, Autodesk, Dassault Systemes, Synopsys, OpenAI, Teradata. Shared with ABB, ETAS, Flowpay, Hellmann Worldwide Logistics, Infosys Finnacle. Industry: Information Technology. Value: Productivity, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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