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Introduction

SWIM EDX is a novel solution that performs all the processing needed for analytics and machine learning applications locally on edge devices, with its software right next to the source of data production.

Highlights

  • SWIM EDX is a self-training and self-managing software solution for edge intelligence.

Features and Benefits

  • Learn about SWIM EDX and how it analyzes, models, and predicts from the entire data set as it is created using incremental machine learning to offer predictive insights.
  • Assess how EDX instances interconnect to create a distributed edge compute/data fabric that is lightweight, highly secure, autonomous, self-managing, and resilient and runs on existing edge devices with no connection to the cloud required.

Key questions answered

  • How does SWIM manage to draw enough computation power at the edge to perform AI analysis?
  • What IOT and edge applications has SWIM been used in?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put SWIM EDX on your radar?

Highlights

  • Main features of SWIM EDX
  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Authors