Intelligent Network Summit

Digital transformation frequently stalls in the manufacturing world due to unstructured data models, a lack of enterprise-wide data governance, and misaligned priorities between OT, IT, and security teams.

Manufacturers must overcome these critical architectural and accountability barriers to successfully scale AI and operationalize data across the entire enterprise.

Tune into this session from CEO John Rinaldi as he details why digital transformation rarely dies in the boardroom or proof of concept but dies a “slow death” and how solution architects, CTOS, digital transformation executives, automation engineers and other leaders can build a successful digital transformation plan and ensure the gaps between OT, IT and security are effectively filled.

Key Takeaways:
- Ten actionable strategies to turn chaotic, inconsistent plant data into AI‑ready information that scales across assets and facilities.
- The architectural and accountability failures that “kill” digital transformation initiatives.
- The three core barriers to enterprise-wide AI.
- How to get started creating data models for digital transformation.
- Actionable strategies for data governance and implementation