Reaching the Next Level of Business Value through End-to-end Machine Learning Pipelines
How do you scale your skills for end to end machine learning across the life-cycle. What are the key components of a machine learning lifecycle and how can you stitch them together, in what combinations for which use cases, in order to get to the next level of actualization of the ML journey that organizations are embarking upon so they can capitalize on the growth and competitive advantage that AI/ML and Data/Analytics are promising and realizing for those organizations that have clear awareness of these components and how it fits into their strategy.