Pinnacle’s AI Innovation in Mechanical Integrity at API Summit

We delve into Pinnacle's unique approach combining traditional expertise with innovative technology, highlighting their Newton software and the importance of a solid data foundation for reliability.

Inspenet TV.
30 de January de 2024

At the recent API Summit, we had the opportunity to speak with Lewis Makin, Vice President of Marketing and Solutions at Pinnacle. With over a decade at the company, Lewis has witnessed and contributed to Pinnacle’s evolution to the forefront of mechanical integrity, driven by artificial intelligence and machine learning.

A Holistic View of Mechanical Integrity

At Pinnacle, mechanical integrity is more than a function; it’s a comprehensive philosophy. With a history dating back to 2006, the company has been one of the world’s largest implementers of RBI (Risk-Based Inspection). “Today, we’re merging that expertise with data science, machine learning, and artificial intelligence,” Lewis shares. This blend of traditional knowledge with cutting-edge technology defines Pinnacle’s unique hybrid approach.

Implementing Artificial Intelligence in Mechanical Integrity

In a world where artificial intelligence is often a buzzword, Pinnacle stands out for its grounded and practical approach. “Our work begins with structuring and contextualizing data,” explains Lewis. With a robust data foundation, Pinnacle uses AI to drive predictive analytics, optimizing reliability and mechanical integrity.

Innovative Software: The Future of Reliability Management

Lewis introduces us to Pinnacle’s flagship software, the Newton Reliability Data Management System. This system encompasses not just inspection but also aspects like vibration and lubrication. Upon this foundation, Newton Intelligence is deployed, connecting all assets in a comprehensive model, allowing effective prioritization of inspection, maintenance, and optimization tasks.

Data: The Heart of Innovation

A key insight from Lewis is that any data is useful. “Even ‘bad’ data is valuable,” he states. This perspective allows Pinnacle to model data quality and uncertainty, dispelling the myth that perfect data is needed for automation and AI.

Conclusion: A Commitment to Mechanical Integrity

Pinnacle is advancing technologically and understands and addresses the challenges of mechanical integrity. “We understand and solve mechanical integrity,” Lewis concludes, reaffirming Pinnacle’s commitment to innovation and excellence.