Page Comparison

1. IBM booth demos:
   1. Workload runtime security (OH + KubeArmor + ???)
   2. Application-centric connectivity (OH + Skupper + ???)
   3. ML deployment automation (OH + TinyLlama? or Yolo v8 or v9?)
2. LF Edge booth demos:
   
   1. Handsfree device onboarding (OH + FDO + LF Edge Sandbox + Project EVE)
   2. Realtime workload metrics (OH + EdgeLake + Grafana + optionally KubeArmor)
   3. Dynamic runtime secrets binding (OpenBao with Open Horizon)

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Demo landing page link: Reduce attack surfaces on your edge nodes and workloads
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Value prop: Secure and harden your edge solutions using Security-by-default principles and active mitigation measures from Days 0 - N.

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Demo landing page link: Provide application-centric and -directed connectivity
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Value-prop: Quickly connect deployed applications with remote resources in any location.  Align distributed application connectivity with the applications themselves so both can be deployed and managed together by the same team.

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Demo landing page link: Dynamic ML association/placement/delivery/bi-directional sync
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Value prop: Associate ML models with the applications that use them while allowing independent delivery and lifecycle management of each.  Separate teams typically develop and maintain ML assets and their consuming applications.  Why force the assets and applications to be deployed together by the same pipelines?MLOps pipelines 

Owner: Jeff Lu 

Todo: Determine which models/framework to show, how to update?

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Demo landing page link: Zero-touch device onboarding with FDO is a reality
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Value prop: Use Open Horizon to host your FDO vouchers and device profiles for a complete FDO onboarding hosting service

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Demo landing page link: Use EdgeLake to access any edge data on-demand from anywhere
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Pain points from transferring/streaming data to a central location for aggregation and insights generation:

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Demo landing page link: OpenBao is approaching Alpha release and becoming an independent project
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Value prop: Open Horizon uses OpenBao for dynamic runtime secrets binding with containerized workloads on both bare Linux hosts and in Kubernetes clusters.

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