Stage-Gating Your AI Innovations to Success

September 01, 2020 | State of the Market Report

Many companies are investing heavily in AI innovations. However, results have, at best, been mixed, with most AI innovations failing when deployed in the field. These failures are largely a result of companies using traditional innovation processes to manage AI innovations – a classic problem of applying old thinking to a new type of problem. In this report, we outline the key reasons why AI innovations are very different from traditional innovations, the challenges they pose, and how companies can tweak their existing innovation processes to enhance their success rates.

Coverage Areas

  • Digital Transformation
  • Industrial Big Data and Analytics

Table of Contents

  • Executive Summary
  • AI innovations pose fresh challenges necessitating a new underlying process for management
  • With some modifications, the Stage-Gate can continue to offer a robust framework to successfully bring AI innovations to the marketplace
  • Outlook

Lead Analyst

Shriram Ramanathan, Ph.D.
Director, Research

Contributors

Kevin See, Ph.D.
Cole McCollum

About Lux Research

Lux Research is a leading provider of tech-enabled research and advisory solutions, helping clients drive growth through technology innovation. A pioneer in the research industry, Lux uniquely combines technical expertise and business insights with a proprietary intelligence platform, using advanced analytics and data science to surface true leading indicators. With quality data derived from primary research, fact-based analysis, and opinions that challenge traditional thinking, Lux clients are empowered to make more informed decisions today to ensure future success.

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