Expert data scientists and other professionals working in data science roles require capabilities to source data, build models and operationalize machine learning insights.
The DSML (Data Science and Machine Learning Platforms) platform offers a mixture of basic and advanced functionality essential for building DSML solutions (primarily predictive and prescriptive models). The platform also supports the incorporation of these solutions into business processes, surrounding infrastructure, products and applications. It supports variously skilled data scientists in multiple tasks across the data and analytics pipeline, including all of the following areas:
• Data ingestion
• Data preparation
• Data exploration
• Feature engineering
• Model creation and training
• Model testing
• Deployment
• Monitoring
• Maintenance
• Collaboration
SAS, Databricks, Tibco, DataIku, Alteryx and MathWorks are the leaders in "2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms"
The DSML (Data Science and Machine Learning Platforms) platform offers a mixture of basic and advanced functionality essential for building DSML solutions (primarily predictive and prescriptive models). The platform also supports the incorporation of these solutions into business processes, surrounding infrastructure, products and applications. It supports variously skilled data scientists in multiple tasks across the data and analytics pipeline, including all of the following areas:
• Data ingestion
• Data preparation
• Data exploration
• Feature engineering
• Model creation and training
• Model testing
• Deployment
• Monitoring
• Maintenance
• Collaboration
SAS, Databricks, Tibco, DataIku, Alteryx and MathWorks are the leaders in "2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms"
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