Abstract: In this session, learn how Red Hat, the world’s leading provider of enterprise open source solutions, in partnership with C3.ai, is helping customers develop scalable intelligent applications leveraging AI and machine learning. We’ll walk you through a practical example of digitizing engineering diagrams to enable machine learning-based predictive maintenance. Engineering diagrams are a vital data source for industrial facilities, depicting the configuration and properties of equipment, sensors, and process flow. In this session we will present:
Show how to leverage containers and Kubernetes to provide agility, flexibility, and scalability to enterprise AI application development
A computer vision pipeline using state-of-the-art deep learning and graph search techniques to parse diagrams and generate structured asset hierarchies
Show how these hierarchies allow operators to represent their assets digitally and enable intelligent applications
Bio: Shouvik Mani is a Data Scientist at C3.ai, where he has built AI applications for customers in the defense, manufacturing, and oil and gas industries. He studied statistics and machine learning at Carnegie Mellon University. In his free time, he enjoys running and playing soccer.