Machine Learning (ML) is being adopted by businesses to scale and improve productivity. Because ML is relatively new, organizations often face problems while planning strategies and building a custom ML application. At Cloudera, we offer professional services and expert guidance to help our customers fully integrate ML into production. The integration of data in the analytics pipeline and the use of tools for data engineering are necessary factors for embedding ML into the infrastructure. ML makes it easy for data science teams to use tools for end-to-end workflow and data engineering. Cloudera Data Platform (CDP), an enterprise data cloud architecture helps deliver multi-function analytics for edge processing and artificial intelligence alongside Cloudera ML.

Download this webinar to know more about the benefits provided by Cloudera :

  • Hybrid & multi-cloud options
  • Multi-function analytics
  • Single context for data security and governance
  • Being able to provide agility and workload elasticity to meet the ever-changing demands.


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