Mr. Shiva Carimireddy

DICI: Turning Data Integration Complexity into Measurable Intelligence: How quantifying complexity enables smarter modernization, cost optimization, and automation decisions.

Abstract:

Modern data-integration systems continue to grow in scale and complexity, yet most organizations still rely on intuition to estimate modernization effort and technical difficulty. The Data Integration Complexity Index (DICI) introduces a structured, quantitative framework to measure this complexity through defined parameters such as transformation density, dependency depth, orchestration layers, and modularity. Developed through independent research, DICI enables consistent evaluation and comparison of integration pipelines using an objective scoring model. This session introduces the concept, explains its core dimensions, and demonstrates how DICI can guide modernization planning, resource optimization, and automation design. Using simple examples and visual scoring demonstrations, attendees will learn how complexity can be measured, communicated, and optimized; transforming integration analysis from a subjective exercise into measurable intelligence.

Profile:

Shiva Carimireddy is an independent researcher and technology strategist focused on advancing intelligent automation, data integration, and AI-driven infrastructure modernization. His work explores the convergence of artificial intelligence, observability, and sustainability in cloud computing, emphasizing how self-optimizing and autonomous systems can transform enterprise operations. Alongside his independent research contributions, Shiva currently serves as a Principal Cloud Engineer at a leading global financial organization, where he designs large-scale automation frameworks, modernization strategies, and cloud observability architectures. He has served as an invited technical reviewer and TPC member for IEEE events, and continues to explore emerging models for quantifying integration complexity and building self-healing cloud ecosystems. A strong advocate for applied research and sustainable innovation, Shiva combines enterprise engineering experience with independent exploration to bridge the gap between academic insight and real-world impact.