Robotic process automation and intelligent process automation address the challenges in automating mechanical processes involved in integrating disparate systems with unattended workflows. The building blocks for such platforms require a robust AI platform with APIs and frameworks for machine learning algorithms and deep learning algorithms. Those APIs need a clean abstraction for the underlying ML/DL layer unless an enterprise is comfortable locking itself into one from an established cloud vendor. Open source solutions like PredictionIO provide a nice abstraction layer to plug and play many AI/ML frameworks that can run on CPUs, GPUs, and custom hardware like TPUs and FPGAs. With an Agile workflow and process automation solution, you can orchestrate the invocation of those APIs and build a progressive web application with open frameworks that provides a rich and effective user experience.
Murali Kaundinya outlines an InnerSource model to curate and operationalize machine learning and deep learning algorithms with a common workflow and engaging user experience. Focusing on patterns and practices, Murali then shares lessons learned implementing four enterprise scale use cases: optical character recognition, release engineering, virtual customer assistants, and data unification.
Murali Kaundinya is a senior strategist for technology and architecture. Murali has extensive leadership and management consulting experience and has served in leadership roles conceiving, executing, and delivering transformational programs with Fortune 100 enterprises within financial services, health and life sciences, insurance, and advanced technology. Previously, he was a technology fellow at Goldman Sachs, where he transformed the firm’s distributed software engineering practices into a centrally managed platform optimizing on innovation, productivity, risk management, and compliance; held leadership roles at Sun Microsystems (now part of Oracle), where he provided strategy consulting services to CxOs of Sun’s top clients across the world; and started his career at NASA’s Goddard Space Flight Center in Greenbelt, Maryland. He has published and presented extensively on many technology topics and holds several patents in RFID and in the field of telemedicine.
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