AI Adoption in the Enterprise

Artificial Intelligence Adoption in the Enterprise

Introduction

In two recent surveys, we identified trends for “The State of Machine Learning Adoption in the Enterprise” and for “Evolving Data Infrastructure”, with the latter looking especially at use of public clouds.

We know companies are taking advantage of artificial intelligence (AI), but we wanted to drill down on the details of how they are planning and prioritizing this work. For example, what’s the outlook for how AI adoption patterns might change over the course of the next year?

In this survey, we asked respondents to identify the verticals for their organizations and also to indicate the stage of maturity. In other words, to what extent do organizations have revenue-bearing AI projects in production? We use those two variables for segmenting responses.

This survey includes nine additional questions. At a high level, we asked about budgets for AI projects, what kinds of AI technologies and data are being used, which functional parts of the company benefit from these projects, and what main bottlenecks are preventing further AI adoption. Looking into more detailed questions, we asked about the biggest skills gaps related to AI, which risks they check in machine learning models, and what tools are being used.

Notable findings from the survey include the following:

• Eighty-one percent of respondents work for organizations that already use AI.

• More than 60% of respondents work for organizations planning to spend at ...