Skip to content
storyGermanyConsumer StaplesProductivityRisk and complianceCapability

Story

AWS@Beiersdorf

Beiersdorf Brings Model Serving onto AWS

Beiersdorf, a consumer staples organization in Germany, uses AWS Lambda from AWS to support applied AI delivery for ML and product teams.

Value results

CategoryValue result
ProductivityFewer stalled items because model serving has a clear owner
Risk and complianceAWS Lambda is the governed place ML and product teams use for applied AI delivery
CapabilityNew joiners can see how applied AI delivery actually runs

Story

Inside Beiersdorf, applied AI delivery used to depend on whoever still had the latest file. That pattern is common in consumer staples groups working out of Germany. ML and product teams needed a system that would still make sense after the original project team moved on.

Beiersdorf uses AWS Lambda from AWS as the working layer for model serving. Amazon Web Services is the leading public cloud for compute, storage, data, and AI services, used to run production systems at global scale. The practical change is simple: applied AI delivery has a home, and reviews happen there instead of in a forwarded thread.

Nothing in this writeup invents a savings number. What Beiersdorf gets from AWS is a durable place to run applied AI delivery and a way for ML and product teams to see the same model serving at the same time.

Relationship map

Beiersdorf uses AWS, Netskope, NVIDIA, Twilio, Salesforce, Zscaler, IBM, Oracle, Splunk. Shared with Alloy, British Broadcasting Corporation (BBC), Carrier Global, Darktrace, GE Healthcare. Industry: Consumer Staples. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

100%

Similar stories

Search Valuerepo

Search stories, solutions, customers, and more.

Type to search stories, solutions, and companies

↑↓Navigate↵OpenEscClose

View all