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Working with Data Scientists for Deployment Success

 

 

 

In This White Paper

 

When it comes to production issues, 50% of data scientists face barriers with pipeline development issues.  This white paper gives you the tools needed to tackle some of your common data science concerns.  Improve operations and ensure your analytic execution environment is the same across the creation, validation, and production stages, by:

  • Learning the importance of enforcing a data schema system on your models; access, discover context, extract, and secure data
  • Understanding the benefits and challenges of data cleaning, data munging, exploratory data analysis and data exploration
  • Building and testing flexible and robust models that get results
  • Acquiring best practices to run a deployment feasibility check and test model in a cloned environment, before live production

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