Mr. Chandra Shekar Chennamsetty

Revolutionizing Enterprise Operations Through AI-Driven Data Modernization

Abstract:

This presentation explores how artificial intelligence and machine learning technologies are transforming enterprise data modernization initiatives to overcome critical challenges posed by legacy systems, including data silos, limited scalability, and incompatibility with modern analytics platforms. Through a comprehensive five-phase implementation framework and real-world case studies demonstrating measurable outcomes such as 50% reductions in data processing time, the session provides practical strategies for transitioning from outdated infrastructure to cloud-based AI platforms that enable real-time analytics and enhanced decision-making accuracy. Addressing key implementation challenges including organizational resistance, skills gaps, and security concerns, the presentation offers actionable solutions for stakeholder engagement, training programs, and robust security frameworks while examining emerging trends in generative AI, edge computing, and quantum computing that will shape the future of enterprise data operations.

Profile:

Principal Software Development Lead and Applied AI Engineer at Autodesk Inc. with 15+ years architecting mission-critical enterprise solutions that drive measurable business impact. As an early AI adopter, I specialize in integrating cutting-edge AI/ML capabilities into production environments, transforming traditional workflows and accelerating business objectives. My expertise spans high-performance application development, system optimization, and cross-functional technical leadership, with a proven track record of delivering scalable solutions that maximize operational efficiency and customer value while positioning organizations at the forefront of digital transformation.