AI Adoption in the Enterprise

How Companies Are Planning and Prioritizing AI Projects in Practice

AI Adoption in the Enterprise

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While O’Reilly has identified several trends among enterprise companies for adopting artificial intelligence, we decided to drill down further to learn just how businesses worldwide are planning and prioritizing this work. In a recent survey, we asked respondents about revenue-bearing AI projects their organizations have in production. How might their AI adoption patterns change over the course of the next year?

In this report, data science experts Ben Lorica and Paco Nathan examine the survey’s results to reveal how (and how many) respondents are ramping up AI projects. You’ll also learn how the scope of AI use among companies is quickly expanding into deep learning, human in the loop, knowledge graphs, and reinforcement learning.

You’ll learn:

  • How far companies have increased their budgets to accommodate AI—particularly those further along in the process
  • Why nearly half of the respondents cite lack of data and skilled people as factors that slow down AI adoption
  • How companies use AI for R&D projects, customer service, and IT
  • How many companies are exploring deep learning, knowledge graphs, and reinforcement learning
  • Which tools these organizations have chosen for their AI projects

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Ben Lorica

Ben Lorica

Ben Lorica is the Chief Data Scientist and Director of Content Strategy for Data at O'Reilly Media, Inc.. He has applied Business Intelligence, Data Mining, Machine Learning and Statistical Analysis in a variety of settings including Direct Marketing, Consumer and Market Research, Targeted Advertising, Text Mining, and Financial Engineering. His background includes stints with an investment management company, internet startups, and financial services.

Paco Nathan

Paco Nathan

Known as a "player/coach", with core expertise in data science, natural language processing, machine learning, cloud computing; 35+ years tech industry experience, ranging from Bell Labs to early-stage start-ups. Co-chair Rev. Advisor for Amplify Partners, Deep Learning Analytics, Recognai, Data Spartan, Primer. Recent roles: Director, Learning Group @ O'Reilly Media; Director, Community Evangelism @ Apache Spark. Cited in 2015 as one of the Top 30 People in Big Data and Analytics<a/> by Innovation Enterprise.