The State of Mobile Machine Learning In 2020

The report by Fritz AI and Spell is based on data from a survey of 500 technical leaders from various industries who have current or previous experience with mobile app development projects.

This report details the opportunities, barriers to entry, and the perceptions of industry leaders regarding AI technology. Here are some interesting takeaways from the report.

Machine Learning Expertise: Access and Use Cases

About 40% of mobile app development companies have no expertise in machine learning (ML), while 47% have no active ML projects.

how companies with mobile development projects have access to machine learning expertise

The main ML use cases are natural language processing (NLP) and computer vision.

Machine learning use cases in business 2020

Non-profit/education and eCommerce/retail have zero access to ML expertise at the time of the research.

domains with zero access to ML expertise in 2020

About 60% of projects in this area are expected to last more than a year.

Challenges of ML adoption in business

The main barriers to AI adoption are cost, lack of resources, and a clear understanding of goals.

biggest obstacles to ML adoption 2020

Download the full report here.

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