From Data Lakes to Intelligent Enterprises: Architecting AI-Driven Big Data Ecosystems at Global Scale
Abstract:
Enterprises today are under pressure to not only capture massive volumes of data but to transform it into actionable insights at unprecedented speed. In this keynote, Samanth Gurram shares his experience designing and deploying globally distributed, AI-enabled data architectures across Fortune 500 organizations. He will detail the evolution from static data lakes to dynamic, intelligence-driven ecosystems powered by platforms like AWS, GCP, Snowflake, and Databricks. Through case studies from Nike, BNY Mellon, and Google, he will reveal how to achieve 95% cost savings, 60x performance boosts, and global compliance in high-volume environments. Attendees will gain a practical blueprint for integrating machine learning into ingestion pipelines, enabling real-time analytics, and scaling AI models across hybrid cloud infrastructure to power decision-making at enterprise scale.
Profile:
I have transformative technology leader with 15+ years of experience architecting large-scale, high-performance data ecosystems for Fortune 500 enterprises and technology innovators. Renowned for blending AI-driven innovation with enterprise-grade engineering, he has built platforms that power billions of transactions, accelerate business intelligence, and deliver measurable cost savings across retail, banking, media, and technology sectors.
Currently leading data and AI engineering for a Fortune 500 global brand, Samanth drives next-generation consumer and marketplace analytics by engineering globally distributed platforms on AWS, GCP, Snowflake, and Databricks. His modernization strategies have reduced costs by 95% while boosting performance 60x, enabling near-real-time insights in under ten minutes.
Previously, he spearheaded enterprise-scale data modernization programs and architected multi-source intelligence platforms that analyzed billions of data points from digital, social, and streaming channels—empowering business leaders with precision decision-making capabilities.
With deep expertise in AI/ML engineering, cloud-native architectures, big data, and cost optimization, Samanth continues to redefine how organizations transform raw data into strategic assets, delivering platforms that are intelligent, resilient, and built for the future.
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