Reimagining Database Architecture with Intelligent Vision and Computing
Abstract:
As data systems scale in complexity and volume, traditional approaches to database architecture and administration are no longer sufficient. This session explores how intelligent vision and computing technologies—such as AI-driven pattern recognition, visual anomaly detection, and autonomous monitoring—are revolutionizing the way we design, manage, and optimize databases.
By integrating computer vision and machine learning into database ecosystems, we unlock powerful new capabilities: from visualizing data flow and storage patterns in real time to predicting failures before they happen, and even enabling self-tuning databases that adapt on the fly. This talk will cover the architectural evolution toward intelligent data platforms, real-world use cases across industries, and the tools and frameworks enabling this transformation.
Whether you're a database architect, administrator, or AI enthusiast, you'll gain actionable insights into building future-ready, self-aware, and vision-enhanced data systems.
Profile:
Hari Babu Dama is a seasoned Database Architect with over a decade of experience, specializing in secure, high-availability, and cloud-optimized data platforms for the financial services industry. He has led successful modernization initiatives, including cloud migrations, disaster recovery architecture, and automation using DevOps tools. His work has enabled >99.99% uptime and significantly improved performance, compliance, and operational efficiency for mission-critical banking systems. Hari brings deep expertise in Oracle, MySQL, PostgreSQL, and cloud technologies like Azure, with a strong focus on data security, automation, and resilient infrastructure.
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