Sponsored by: Neurealm | AI driven Approach to Accelerate Data Modernization by up to 25%
Overview
| Experience | In Person |
|---|---|
| Track | Data Warehousing |
| Industry | Healthcare & Life Sciences, Transportation |
| Technologies | Databricks SQL, Unity Catalog |
| Skill Level | Intermediate |
Enterprises often struggle with slow, manual data migrations & fragmented data quality processes, limiting their ability to adopt AI at scale. This session introduces our approach to data modernization driven by our framework of ‘NeuFlow,’ an autonomous, no-code data engineering approach designed to accelerate data journeys and deliver AI-ready data. Our approach towards AI driven Data modernization unifies intelligent migration (DataBridge), automated data quality (TrustFlow) and reconciliation (MatchFlow) into a single AI-powered framework represented by Neuflow. Attendees will learn how organizations can reduce migration timelines by up to 25%, automate nearly 50% of data quality operations, and achieve 20–30% lower operational costs, while improving trust, governance, and readiness for AI-driven use cases.
Session Speakers
Pragadeesh J
/Director - Data Engineering
Neurealm