How AWS Attempts To Bring Transparency To AutoML Through Amazon SageMaker Autopilot

To enable developers and citizen data scientists to take advantage of machine learning, the industry is moving towards AutoML - a simplified approach to building and training ML models. Training and deploying a sophisticated machine learning model involve multiple phases with each phase demanding a unique skill set. An enterprise data science team consists of data engineers, data scientists, business analysts, researches, ML developers and DevOps professionals to manage the workflow involved in operationalizing AI for businesses. Each stage is handled by an individual or a team specializing in that task. Data engineers deal with the ingestion and acquisition of data from disparate sources.