The after-conference proceeding of the CML 2024 will be published in SCOPUS Indexed Springer Book Series Lecture Notes in Networks and Systems.

Mr. GOVINDAIAH SIMUNI

AI in Motion: Automating Data Integration & Batch Processing

Abstract:

In today’s data-driven world, the ability to seamlessly integrate and process vast amounts of information is critical for unlocking the full potential of artificial intelligence (AI). "Transforming Data into Action: AI-Driven Integration and Batch Processing for Innovation" explores how advanced data integration techniques and batch processing frameworks empower organizations to harness the power of AI for groundbreaking innovation. By unifying disparate data sources and enabling efficient large-scale processing, businesses can derive actionable insights, optimize operations, and drive transformative outcomes. This paper delves into the synergy between AI, data integration, and batch processing, highlighting real-world applications, challenges, and best practices for organizations aiming to stay ahead in the era of intelligent automation and data-centric decision-making. Discover how the convergence of these technologies is reshaping industries and paving the way for a future where data truly becomes a catalyst for innovation.