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Smart Manufacturing: Real-time Process Optimization with Databricks

On Demand

Type

  • Session

Format

  • Hybrid

Track

  • Industry and Business Use Cases

Branche

  • Fertigung

Difficulty

  • Intermediate

Room

  • Moscone South | Upper Mezzanine | 159

Duration

  • 35 min
Download session slides

Überblick

the key opportunities was to improve productivity and cost of production metrics by
Reduction in Unscheduled Stoppages (by >50%)
Reduction in wastage and scrap (~25%)
This is being achieved by a AIoT led solution develop and deployed on Azure Databricks
Technical detail
Once this initial use case is proven, the plan is to scale up and scale out the solution architecture across use cases (examples) and plants (locations across Americas Europe and Asia)
Databricks contributors: Bala Amavasai, David LeGrand, Michael Lumb

Session Speakers

Vamsi Krishna Bhupasamudram

AI Consulting leader

Tredence

Ashwin Voorkarra

IoT Architect

Tredence

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