This presentation will describe the current trends influencing the machine learning and data science landscape: including augmented analytics, MLOps, managing and governing data science corporate initiatives, and which platforms to choose. We discuss high-level some of the myths, and complexities and how enterprises can become more effective.

This presentation provides practical advice on how to extend from traditional descriptive and diagnostic analytics to include predictive and prescriptive approaches. The session defines how to take the next steps to leverage the analytics solutions you might already have and provides examples of real case studies that demonstrate the approach.

Analytics capabilities become modular with low- and no-code capability introduced into solutions enabled by data fabric. Organizations can compose the building blocks to build tailored analytics experiences rather than monolithic applications. This session will help data and analytics leaders use composable data and analytics to bridge with application development, bringing insights into actions.