Agentic Data Engineering:

How Edmund Optics & MRH Trowe Automated 80% of Data Work

ON DEMAND WEBINAR
Duration: 38 minutes

Your board expects AI-driven innovation. Your data team is drowning in manual operations. The gap between AI ambition and data engineering capacity is widening – and it's slowing your competitive advantage. 

In this CIO webcast, you’ll hear how Maia, the agentic data team, is helping leaders from Edmund Optics and MRH Trowe close the gap between AI ambition and data engineering capacity. You’ll learn:

  • How enterprise teams are experiencing 5x–10x productivity gains 
  • The impact of automating 80% of repetitive pipeline work, including builds, optimizations, and documentation
  • How teams prepare AI-ready data faster by handling schema drift, complex APIs, and metadata mapping
  • How business analysts and engineers alike can now build governed, production-grade pipelines with natural language guidance

SPEAKERS

Dan Adams
Dan Adams
Global Analytics Manager
Edmund Optics
 


Dr. Malte Polley
Dr. Malte Polley
Lead Cloud Architect for Data Analytics & AI
MRH Trowe
 


Julian Wiffen
Julian Wiffen
Chief of AI & Data
Matillion
 

WATCH NOW

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