Architecting AI-Ready Data Pipelines: Practical Patterns for Real-Time Intelligence [VIRTUAL]

​"Architecting AI-Ready Data Pipelines: Practical Patterns for Real-Time Intelligence"

​Speaker:

​👤 Vivek Venkatesan,
Lead Data Engineer at Finance Fortune 500 Company

​Description:

​💡 Modern AI systems depend on data pipelines that are fast, reliable, and built to scale. In this session, we will explore the architectural patterns behind AI-ready data platforms, including real-time ingestion, event-driven processing, feature engineering, vector search integration, and low-latency inference paths. Using real examples from large production environments, we will look at how to design pipelines that support both traditional machine learning and emerging GenAI workloads.

​We will also discuss practical considerations that teams often overlook, such as cost-efficient storage design, metadata and lineage tracking, privacy-aware architectures, and operational practices that keep AI systems stable in enterprise settings. Attendees will leave with a clear and actionable blueprint for building data and AI pipelines that scale smoothly, adapt quickly, and deliver measurable business impact.

​📅 February 12th, 2026

​⏰ 6:00 PM to 7:00 PM ET

​📍 Location: YouTube

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