EMA Top 3 News - MLOpsProduct RequirementsEMA Top 3 Award Winners in the MLOps category have demonstrated the ability to simplify the deployment, operation, and scaling of data science and machine learning environments. These products address the critical MLOps pain points such as cost, performance, a lack of staff skills, difficult experimentation for data scientists, and insufficient tooling.
Critical MLOps Pain PointsExperimentation is the fastest growing MLOps related pain point, while performance still holds the overall lead as the most important pain point. Lack of skills, cost, and a lack of tooling are next in line.
Data source: Stackoverflow.com
Developer Challenges
Cluster chart of the critical machine learning-related topics developers discuss on Stackoverflow.com in 2022.
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MLOps Momentum in 2022Google Search FrequencyAnnual Venture CapitalNumber of Monthly Reddit PostsNumber of GitHubs StarsMLOps on StackoverflowRanking of Machine Learning TopicsTraining of learning models and feature-engineering gained the most importance of the top 10 machine learning topics between 2017 and 2021. Determining feature importance and oversampling entered the list of critical machine learning topics in 2021.
Data Source: Stackexchange for Data Science
Machine Learning and KubernetesDue to its scalability, Kubernetes has become the platform of choice for machine learning. Performance, scalability, and cost are the three critical considerations for enterprises to address when developing and operating
Data source: Stackoverflow
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Data source: Stackoverflow.com
Machine Learning Related Open Source Projects by GitHub Stars
Data-related GitHub repositories make up the largest part of the Linux Foundation's taxonomy of open source machine learning products and projects. Tensorflow and Pytorch are the largest deep learning frameworks, while Keras and Pandas are the most popular development libraries for building learning models.
Data source: Linux Foundation
Importance of ML Technologies for Developers and Data Scientists
The Pandas machine learning library is the most important technology for software engineers, while Tensorflow and Keras are most critical for data scientists and data engineers.
Data source: StackOverflow and StackExchange for Data Science
Most Popular Google QueriesGoogle searches focus most on MLOps tools, MLOps engineers, and MLOps on AWS and Azure. Searches for books, courses, and best practices are popular and indicate the desire of professionals to "jump aboard." DevOps is another essential MLOps-related Google search, as the synchronization between MLOps and DevOps is critical.
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MLOps in 25 Twitter HashtagsThis topic map is refreshed daily and contains the correlations that are closest to #MLOps on Twitter, using a standard topic clustering algorithm.
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Data source: Twitter
Machine Learning Trends on Twitter |
Data source: Google Trends