Proof Point
Companies claimed improvements in data analysis as top benefit of machine learning in 2016, while gaining competitive advantage fell short of expectations
Perceived and Actual Benefits of Machine Learning to Organizations
2016
| Note: | Data based on MIT Technology Review Custom and Google Cloud’s survey of 375 respondents in charge of machine learning initiatives in their organizations and those not planning on implementing machine learning in future |
Proof Point Findings
- Machine Learning – Artificial intelligence application that gives computers ability to learn and make predictions on data without being explicitly programmed
- Perceived Benefits – More extensive data analysis (50%), competitive advantage (46%), and faster data analysis (45%) top perceived benefits of adopting machine learning
- Actual Benefits – More extensive (45%) and faster (35%) data analysis, as well as enhanced R&D programs are most realized benefits as stated by companies implementing machine learning, while gaining competitive advantage (26%) fell short of expectations
- Key Adoption Drivers – Include exponentially advancing computing power, proliferation of new learning algorithms, and increasing availability of large volumes of company, customer, and industry data
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Business Model and Practices Business Model |
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Cross-sector
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Date Last Updated |
May 16, 2017
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