According to recent findings by Gartner, 85% of Data Science and Big Data projects fail to move past preliminary stages of development. Implementing proper tools and standards within your cloud platform ensures that your Machine Learning projects are set up for success and that they can be scaled to meet the needs of the entire organization. Using Microsoft Azure’s Databricks Clusters and Machine Learning Services, it is easy to add enhanced Data Science capabilities on top of any existing cloud storage and transformation pipelines to unlock new analytics solutions.
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