Move from DIY to ready for AI
How to automate AI-ready data delivery
October 23, 2025
10 AM BST / 11 AM CEST
Virtual
Poonam Agate
Strategies to centralize and normalize data from diverse sources
How to get reliable, high-quality data from automated pipelines
Ways to accelerate AI from experimentation to production with scalable data movement
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AI and machine learning efforts need access to centralized, high-quality data. However, managing data pipelines in-house often leads to complexity, inefficiencies, and delays that stall AI innovation. This session explores how automation transforms data movement — streamlining ingestion, normalization, and preparation — to fuel AI/ML applications effectively. Discover how automated pipelines, managed data lake services, and rapid deployment models empower teams to move from experimentation to production faster, unlocking real business value.
Strategies to centralize and normalize data from diverse sources
How to get reliable, high-quality data from automated pipelines
Ways to accelerate AI from experimentation to production with scalable data movement
Poonam Agate
Poonam Agate
AI and machine learning efforts need access to centralized, high-quality data. However, managing data pipelines in-house often leads to complexity, inefficiencies, and delays that stall AI innovation. This session explores how automation transforms data movement — streamlining ingestion, normalization, and preparation — to fuel AI/ML applications effectively. Discover how automated pipelines, managed data lake services, and rapid deployment models empower teams to move from experimentation to production faster, unlocking real business value.