As the demand for data scientists continues to grow, so does the pressure for them to work rapidly, while also ensuring that their processes are transparent, reproducible, and robust. By having more automation capabilities at their fingertips, data scientists can tackle more strategic problems head-on. In our ebook, 5 Ways Automation Is Empowering Data Scientists to Deliver Value, we take a deep dive into how automation accelerates data science development and frees data scientists to focus on higher-level problems.

Download 5 Ways Automation Is Empowering Data Scientists to Deliver Value to see:

• How automation can join datasets of different granularity and generate hundreds of features
• How to automate the orchestration of your machine learning data flows
• New ways to automate experiments with a clear path to production
• Advanced MLOPs governance methods to maintain each model’s accuracy
• How to identify bias in models to improve fairness