Machine Learning Hits a Scaling Bump

Based on our reporting over the last year, you might conclude that machine learning technology has entered the mainstream with countless workloads in production. While developers are indeed moving up the machine-learning learning curve, a vendor survey finds they still have a way to go in scaling ML deployments.

Algorithmia’s annual survey of the state of enterprise machine learning technology released on Thursday (Dec. 12) did find an uptick in machine learning deployments over the past year. A modest 22 percent of companies surveyed report they have transitioned machine learning models to production. As developers and data scientists roll up their sleeves, several pain points have emerged, ranging from version control and model reproducibility to “executive buy-in” and “aligning stakeholders,” the survey found.

Author: George Leopold

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