Machine learning adoption within enterprises continues to rise each year. According to 451 Research’s Voice of the Enterprise: AI and Machine Learning Use Cases survey, nearly 29% of organizations are deploying ML initiatives. An additional 42% of organizations are either in the proof-of-concept stage or plan to deploy within the next 12 months. This accelerated adoption is no surprise given that 94% of ML adopters say their initiatives are successful. By using the technology to divine insight from vast amounts of data much quicker than humans could achieve alone, these ML adopters are seeing a variety of benefits, such as improved workforce productivity and lowered costs. Despite its benefits, machine learning adoption is far from easy; there are numerous hurdles enterprises have to overcome to ensure successful ML deployments.
Breaking Down Barriers To Successful ML Adoption
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