State of enterprise machine learning in 2020: 7 key findings

An Algorithmia report released on Thursday revealed the challenges associated with increased machine learning use in 2020. Most companies will be in the early stages of machine learning developments in 2020, but to get to more advanced stages, organizations must overcome a variety of obstacles, the report found. Algorithmia's 2020 State of Enterprise Machine Learning report surveyed 745 tech professionals to determine how organizations plan on deploying machine learning in 2020, and the key issues that accompany the journey. The biggest challenges associated with machine learning deployments involved scaling, versioning, and budgeting, according to the report. "AI and machine learning is going to be the most impactful technological advance that we're going to see in our lifetime," said Diego Oppenheimer, CEO of Algorithmia. "The role of the data science is to grab a bunch of the data these companies have been collecting and make sense of it," and technological advances have caused companies to generate more data, which results in the need for more data scientists, Oppenheimer said.