Yildirim Adiguzel

AI-Driven Cost Optimization in Cloud Data Platforms

Abstract:

This session explores the transformative journey of modern data platforms as organizations contend with rapid data growth, AI-driven access, and escalating cloud costs. It examines how companies leverage cloud computing, artificial intelligence, and advanced data modeling techniques to optimize performance, control costs, and maintain scalability in increasingly complex data environments. Through practical examples and real-world implementation insights, the talk highlights how hidden inefficiencies in query patterns, data structures, and processing methodologies can significantly impact cost and performance.

AI-Driven Cost Optimization: Building Efficient and Scalable Data Platforms The talk focuses on how AI-powered analysis and systematic optimization frameworks are reshaping data platform management—from identifying cost drivers to improving partitioning, clustering, and incremental processing strategies. It also highlights the importance of continuous, feedback-driven optimization in environments where AI enables broader and faster access to data. Additionally, it offers predictions about the future of data platforms, where self-optimizing systems, intelligent automation, and responsible AI usage play a critical role in balancing accessibility, performance, and cost efficiency.

Keywords: Data Platform Optimization, Cloud Cost Management, Big Data Architecture, AI-Driven Analytics, Partitioning and Clustering 

Profile:

Yildirim Adiguzel is a results-driven technology leader with over 20 years of experience in software engineering, data platforms, and digital transformation. He has served as CTO three times and successfully led a company through acquisition, building and scaling high-performing engineering teams and large-scale systems.

Currently, Yildirim is a key technology leader at PostPilot, where he helps power a platform that enables thousands of brands to send hundreds of millions of postcards, processing petabyte-scale data every day. His work focuses on designing and operating scalable, cost-efficient data systems using modern cloud technologies, big data architectures, and AI-driven optimization strategies.

With deep hands-on expertise across cloud platforms, DevOps, and distributed data systems, Yildirim combines technical leadership with practical execution. He is particularly passionate about building systems that not only scale but also remain efficient and sustainable as they grow.

His recent work explores how AI can transform data platform operations—enabling faster decision-making, improving performance, and significantly reducing costs in modern, data-intensive environments.