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Get out of the notebook and into production

Managing machine learning (ML) and artificial intelligence (AI) projects can often be quite daunting for any company.  Across industries, organizations struggle to:

• Maintain a consistent pipeline of ML projects
• Standardize experimentation within projects that includes data and model version control
• Deploy their ML models to production AI applications on a regular basis

This whitepaper is packed with helpful tips and programs you can implement to get your team into production.