From Models to Reality: How AI Changes the Value of Data
Session Overview
As AI moves from experimentation into production, data is becoming a strategic asset that grows in value over time. The presentation explores how AI changes the way organizations create, retain, access, and learn from data over time, and what is needed to build infrastructure that supports continuous learning and long-term value creation.
AI is not only generating new forms of data but also unlocking new value from existing information. As data is continuously created, retained, and reused for future learning, the ability to keep valuable information accessible over time becomes increasingly important to AI performance, scalability, and business value.
This session examines how these changes are reshaping data infrastructure as AI becomes part of everyday operations. It explores the role of AI-ready infrastructure in supporting continuous learning, managing growing volumes of valuable data, and turning that data into lasting business value.
Speaker
Colin Presly, Seagate's VP of Customer Engineering, has over 25 years of hard-drive technology and customer experience. Colin's career includes leadership roles in research and development, precision equipment engineering, the CTO office, and global customer-serving technical organizations. His work has focused on helping organizations design and operate infrastructure capable of supporting increasingly demanding workloads, including data-intensive and AI-driven systems. Through regular engagement with global cloud and data-center operators, Colin brings a perspective on how infrastructure requirements are evolving as AI moves from experimentation into production. He holds a Master of Engineering from Imperial College London.