MAIN MENU

Prevent Downtime Across Critical Assets: How AI Analytics & Real-Time Monitoring Boost Uptime

Presenters: Adi Dhora and Guga Gugaratshan

Date: June 9, 2026

Duration: 40 min.

Language: English

Learn how leading operators leverage physics-informed AI, advanced reliability modeling, and engineering-grade sensor data to diagnose structural issues and predict maintenance needs before they escalate.

 

What you will learn:

  • Go From Reactive to Predictive: Discover how to detect early signs of structural degradation and wear before costly operational disruption occurs.
  • Physics-Informed Confidence: Learn to combine empirical, real-world sensor data with simulation models for unparalleled diagnostic accuracy.
  • Build Actionable RAM Digital Twins: Operationalize Reliability, Availability, Maintainability, and lifecycle cost decisions with continuous data ingestion.
image
Presenter

Guga Gugaratshan

Business Development & Digital Products Director, HBK.

Guga leads a global team in developing advanced solutions for asset intelligence, monitoring, and reliability.

He brings over 25 years of experience spanning engineering, product development, and industrial systems, combining deep technical expertise with proven leadership in building and scaling high-impact solutions.

Guga’s career includes key leadership roles at Dana Corporation and Caterpillar Inc., managing manufacturing operations and leading product development.

His expertise covers reliability and durability prediction, data acquisition systems, and structures and dynamics.

He holds Master's degrees in Mechanical Engineering and Applied Data Science.

image
Presenter

Adi Dhora

Principal Reliability Consultant, HBK.

Adi helps business leaders prevent costly operational disruptions by delivering advisory services and software solutions that enable continuous improvement in asset reliability, uptime, and lifecycle cost.

Over his 13-year career, he has partnered with more than 60 asset-intensive organizations, including Fortune 100s, to transform how physical asset performance is managed.

Adi specializes in advanced analytics, operationalizing digital twins, and large-scale asset data management to deliver the impact required for Industry 4.0.

He holds an engineering degree from the University of Waterloo.

Related content