Artificial Intelligence: A Framework to Identify Challenges and Guide Successful Outcomes

April 2, 2019 | State of the Market Report

Given the massive amounts of hype and promise surrounding AI and related technologies like machine learning, it’s become increasingly difficult to make critical innovation and investment decisions in the space. In the rush to develop new AI projects, many are taking a technology-first approach (e.g., selecting a vendor simply because they claim to use the latest AI techniques), which has led and will lead to many failed projects. Here we present a framework to reduce failures by starting with the end in mind—focusing on the outcomes, capabilities of today’s AI tools, and emerging solutions to the key challenges surrounding implementation.

Coverage Areas

  • Digital Transformation
  • Industrial Big Data and Analytics

Table of Contents

  • Title page
  • Executive Summary
  • The AI hype and opportunity
  • A framework to identify challenges in implementing AI and emerging solutions
  • Recommendations and outlook

Lead Analyst

Cole McCollum
Research Associate

Contributors

Shriram Ramanathan, Ph.D.
Kevin See, Ph.D.
Ryan Dolen

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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