The Future of Industrial Interoperability

In asset-intensive industries, operational complexity can be a major roadblock to digital transformation. Many organizations are hampered by outdated legacy systems, fragmented data, and siloed operations, which can cause digital initiatives to stall before they provide real value.This white paper, supported by insights from Radix and Cognite, explores how contextualized data and industrial interoperability can help overcome these challenges. It outlines a framework for reducing complexity, improving operational visibility, and accelerating business outcomes.

Key takeaways

Overcome common roadblocks in digital transformation, such as a lack of data maturity, an architecture that doesn’t support real-time data capture, and fragmented collaboration.
Harness contextual data for better decision-making. This process involves mapping relationships across raw data to gain meaningful direction and achieve operational goals.
Successfully implement a large-scale transformation in an industrial setting by identifying best practices and avoiding common pitfalls.
Reduce operational complexity and accelerate business outcomes using a unified approach to AI and data integration.
Accelerate digital transformation and achieve significant cost reductions through data-driven decisions.