i4Q AI Models Distribution to the Edge (i4Q AI)

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i4Q AI is an automatic smart delivery of AI models to the appropriate edge devices enabling low latency and faster reactions to data in real-time.

Project: i4Q

Publisher: IBM

Technology: AI model life cycle management, Cloud-edge feedback control, edge placement, edge processing

Industry: Industry

INTRODUCTION

i4Q AI shall provide an AI used for identifying anomalies in a production environment and proposing actions to remedy the situation. An integrated overall AI model life cycle management to run adequately in an edge environment shall be pursued by i4Q AI. Edge AI based workloads require access to their AI models, which is challenging to keep up-to-date when taking into consideration a scalable environment with potentially constrained resources. Edge resident AI models will enable processing of data close to the source in which it was produced, thus opening the door for taking actions faster

FEATURES/BENEFITS

  • Features:
    • Open Source solution

 

  • Benefits:
    • Low latency
    • Real-time data visualization
    • Anomaly detection

TECHNICAL INFORMATION

Code

i4Q AI

Type

Middleware Service

Technology Topic

Edge

Development

Golang 

RESOURCES

How it works 

Component

Interact

Identifying technical relationships

Pre-process incoming requests

Handle incoming request

Prepare request to be processed

Handle incoming request

Determine proper placement

The heart of the solution – process the request to determine best placement

Determine proper placement

Distribute model

Carry out the decision that took place in the previous phase.

Model and workload placement viewer

Determine proper placement

Update information base for deployment decisions

Model feedback controller

Determine proper placement

Update information base for deployment decisions

USE CASE

SERVICES LINKED

PUBLISHERS

IBM - IBM integrates technology and expertise, providing infrastructure, software (including market-leading Red Hat) and consulting services for clients as they pursue the digital transformation of the world’s mission-critical businesses.