Fred Lherault, Field CTO, EMEA at Everpure, joins SDxCentral’s Kat Sullivan to discuss the data challenges companies must overcome to successfully scale AI beyond proof-of-concept projects. Enterprises are accelerating AI adoption, with many discovering that fragmented data, poor classification practices, and weak governance frameworks can limit the accuracy and value of AI-driven outcomes.

Key discussion points include:

• How data silos hinder AI success
• Managing redundant, obsolete, and trivial (ROT) data is critical for effective AI
• Trust, governance, and establishing a reliable source of truth for AI systems
• How an enterprise data cloud can provide the unified data and control planes needed to scale AI securely and efficiently