Modernizing Data Science and Machine Learning Development Workflows with MLOps

Guiding enterprises through the complexities of AI and ML landscapes by merging data science with modern software engineering and DevOps practices.

There is a significant gap in the development and delivery of AI and ML workflows in Data Science. In this eBook, we address the gap left by missing critical quality and delivery capabilities associated with software development and modern DevOps practices to accelerate and streamline the development workflows for data scientists in enterprise IT organizations.

• What MLOps can achieve in the enterprise
• Machine Learning challenges and our recommendations on solving them
• How we enable MLOps in enterprise IT organizations

‍