Ms. Hema Yalamancheli

AI-Driven Agile Transformation: Accelerating Application Modernization and Ensuring Compliance in Regulated Industries"

Abstract:

As regulated industries face increasing pressure to innovate while maintaining stringent compliance requirements, AI-driven technologies are emerging as key enablers of Agile transformation and application modernization. This talk explores how artificial intelligence can enhance Agile methodologies, automate processes, and streamline release governance, ultimately driving more efficient and scalable modernization efforts. The session will delve into how AI tools, such as predictive analytics and machine learning models, can optimize decision-making during application development and transformation, ensuring both speed and compliance. By focusing on automated testing, risk management, and regulatory compliance automation, this talk will demonstrate how AI solutions can not only improve development workflows but also provide transparency and traceability in regulated environments. Real-world examples will showcase how organizations can apply AI to monitor compliance, predict potential release failures, and facilitate faster, error-free deployments. The session will conclude by discussing the future of AI in regulated environments, including emerging trends and tools that are set to reshape the way enterprises modernize and govern their applications in compliance-heavy sectors

Profile:

Hema Yalamancheli is a seasoned technology leader with over 15 years of industry experience and a decade in Agile leadership roles. She has led large-scale digital transformation programs at organizations like Tyler Technologies and American Express. Her expertise includes Agile Program Management, Release Train Engineering (RTE), DevOps orchestration, and data modernization. A Senior Member of IEEE and Life Fellow of IETE, she actively contributes to the tech community as a peer reviewer and conference speaker. Her recent work focuses on integrating AI with Agile to enhance performance and strategic planning. Proposed topics include AI-Augmented Agile Transformation, Data-Driven Program Management, and Intelligent DevOps.