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Introduction

Ovum recently spoke with six companies and an open source project (Kubeflow) to write Ovum On The Radar reports and a Research Note on their activities.

Highlights

  • This report brings these reports together and offers a state-of-the-art assessment on prospects for MI in the enterprise and will also be relevant to vendors interested in AI innovation trends.

Features and Benefits

  • Learn how ParallelM MCenter provides a DevOps style platform for an enterprise with many ML application lifecycles to manage.
  • Evaluate how Sentient Ascend uses evolutionary computation to test thousands of website design options against live traffic streams and optimize desired visitor responses.

Key questions answered

  • How does SWIM EDX provide real-time ML in IOT devices with minimal resources?
  • Why is the lifecycle of ML applications different from other software application lifecycles?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for vendors

Defining machine intelligence

  • Definition and characteristics

Vendors on the Ovum Market Radar in MI Innovation

  • On the Radar: Applitools Eyes platform offers automated visual UI testing
  • Kubeflow provides containerized solution for ML lifecycle management
  • On the Radar: ParallelM MCenter 1.1 manages the lifecycle of ML in production
  • On the Radar: Sentient Ascend optimizes website conversion rate
  • On the Radar: SigOpt offers machine learning algorithm optimization
  • On the Radar: SWIM EDX provides real-time intelligence at the edge
  • On the Radar: Testplant's Eggplant Digital Automation Intelligence suite automates and streamlines the testing lifecycle
  • Ovum view

Appendix

  • On the Radar
  • Further reading
  • Author