April Chapter Meeting
STREAMLINING DATA INTEGRATION:
UNDERSTANDING ZERO-ETL'S ROLE IN MODERN ENTERPRISE ARCHITECTURE
Speaker: Shamnad Shaffi
Tuesday, April 15th, 2025
Virtual & In-person Meeting
Social: 5:30 PM
Presentation: 6:00 PM
Abstract:
Zero-ETL represents a transformative approach to data integration that minimizes traditional Extract, Transform, and Load (ETL) processes by enabling direct data movement between sources and targets. This methodology defers transformations to query time, facilitating real-time data access and faster insights. Through core innovations like schema-on-read technology and cloud-native integration, Zero-ETL delivers significant business benefits including improved agility, cost optimization, and the ability to handle diverse data formats without infrastructure overhauls.
Autonomous learning, decision-making, and action capabilities of AI agents distinguish them from traditional AI systems. Use of these agents can enhance diagnostic accuracy, optimize manufacturing processes to reduce waste and improve efficiency, predict demand to manage inventory more effectively among other applications. In this session we'll cover the applications and possibilities of Autonomous AI agents in process redesign, decision making and system performance improvements. We further discuss the integration of these agents with technologies such as blockchain, the Internet of Things (IoT),edge computing, and data management to amplify their capabilities. Finally, we identify key areas for further research and investigation to optimize the design and secure application of AI agents across diverse applications.
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Speaker Bio:
Shamnad Shaffi
Shamnad Mohamed Shaffi is an accomplished IT professional with over 18 years of experience, specializing in data analytics, cloud computing, and business intelligence. His expertise spans designing and implementing data platforms, analytics solutions, AI/ML, cybersecurity, and governance frameworks that transform raw data into actionable insights.
Shamnad has held key roles at leading organizations, including T-Mobile and Amazon Web Services (AWS). With a Master’s Degree in Information Technology from Colorado Technical University and multiple AWS and Azure certifications, he brings deep knowledge in building modern data platforms that meet governance and data sovereignty requirements. His innovative solutions empower businesses to derive actionable insights from diverse data sources and accelerate AI adoption across enterprise environments.
