3rd International Conference on Business Intelligence and Data Analytics (BIDA 2026)

Organized by RV Institute of Management (RVIM), Bangalore, India

 Technically Sponsored by Soft Computing Research Society

April 11-12, 2026The after-conference proceeding of the BIDA 2026 will be published in Scopus Indexed Springer Book Series "Smart Innovation, Systems and Technologies"

The after-conference proceeding of the BIDA 2026 will be published in Scopus Indexed Springer Book Series "Smart Innovation, Systems and Technologies"

Arunkumar Amaran

AI in Enterprise Data Platforms: From Intelligent Automation to Autonomous Decision Systems

Abstract:

Enterprises are rapidly evolving from traditional data processing systems to intelligent, AI-driven platforms capable of real-time insights and autonomous decision-making. This keynote explores how modern organizations can leverage Artificial Intelligence, Generative AI, and cloud-native architectures to transform enterprise data ecosystems into scalable, intelligent decision systems.
Drawing from real-world experience in building large-scale data platforms, the session will highlight the transition from batch-oriented pipelines to event-driven, real-time data architectures powered by technologies such as streaming systems, cloud data warehouses, and distributed processing frameworks. It will also demonstrate how AI-driven automation can optimize data pipelines, improve data quality, and reduce operational complexity.

The keynote will further examine how organizations are moving beyond analytics toward autonomous decisioning, where AI models and data platforms work together to enable proactive, context-aware business actions across domains such as retail, supply chain, and customer analytics.

Finally, the session will address key challenges including scalability, data governance, observability, and responsible AI adoption. Attendees will gain practical insights into designing future-ready enterprise data platforms that combine engineering excellence with intelligent automation to drive innovation and competitive advantage.

Profile:

Arunkumar Amaran is a Technology Manager in Data Engineering and Architecture at Macy’s Systems & Technology, with over 19 years of experience in designing and delivering enterprise-scale, cloud-native data platforms and AI-driven analytics solutions. His expertise spans data engineering, distributed systems, and intelligent automation, with a strong focus on building scalable, real-time and batch data processing frameworks using modern cloud technologies such as Google Cloud Platform, BigQuery, Dataflow, Datastream, and Pub/Sub.

In his current role, he leads enterprise data transformation initiatives that enable data democratization across key business domains including merchandising, marketing, finance, supply chain, and customer analytics. He has architected large-scale data ingestion frameworks, developed unified enterprise data platforms, and implemented data quality and observability solutions that enhance reliability and support data-driven decision-making. He has also applied Generative AI techniques to optimize data pipelines and improve system efficiency.

Previously, he contributed to real-time analytics and supply chain visibility systems at The Home Depot and developed enterprise data and reporting systems at Hewlett Packard. His work has consistently focused on enabling organizations to leverage data as a strategic asset through scalable and efficient architectures.

Beyond his industry contributions, he actively participates in the global research community as a Technical Program Committee member and reviewer for multiple international conferences. He is an IEEE member and is committed to advancing research and innovation in AI, data engineering, and cloud computing.