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Today, there is a veritable tidal wave of choices for pump asset health solutions. While ten years ago there may have been perhaps a dozen condition monitoring providers, that has more recently increased by at least three-fold. There are two primary drivers behind this dramatic increase in market participants: the emergence of wireless IIoT devices and the emergence of robust machine learning AI. For example, a casual search for “IIoT sensors” returns nearly 150,000 hits! Even narrowing the search to just “IIoT vibration sensors” for monitoring the condition of assets reveals more than 30 providers vying for attention.
At the same time, the emergence of AI has completely transformed the landscape of how asset health anomalies can be detected and whether the old approach of threshold-based alarming is truly the best way to manage large populations of assets like pumps. Combine these choices for sensors and AI with a wider variety of commercial models ranging from conventional ownership to subscription-based approaches and users are today faced with a bewildering array of decisions:
- Should I use AI? If so, what kind?
- What should I look for in a sensor?
- What commercial model is best?
- Do I need any human expertise at all? What distinguishes one type of AI from another?
- Can the AI really be trusted and is it delivering on its promises?
In this webinar, we explore those questions and more, identifying 10 important questions that will help guide your search for the right solution.
SPEAKERS
Asset Health Management Product Leader
Baker Hughes
Munir Qureshi is an asset health management product leader for Baker Hughes. Munir shared, “As industrial machinery and reliability, instrumentation and controls and/or IT/OT engineers, our task should not be to only react and fix, but rather to innovate techniques and implement solutions to prevent or mitigate failures before they happen. We must leverage contemporary technology and the human factor, recognizing that a new age of collaboration has begun.” This is the truth Munir lives by—to build solutions for the industry he has served for over 19 years in various capacities including machinery diagnostics, systems and instrumentation, industrial cyber security, enterprise solution architecture, digitalization and digital transformation enablement and product management.
For innovations to be successful however, Munir believes it takes more than an innovator or vendor having developed a solution. It requires a partner on the other end, the end-users, to capture the opportunity to apply and improve—to boldly venture where few or none have gone before. “This is the reality of the industrial innovation ecosystem. In the words of Mother Teresa ‘You can do what I cannot do. I can do what you cannot do. Together, we can do great things.’”
Technical Product Manager
Baker Hughes
Sahil Gandhi is technical product manager for the Cordant solution offered by Baker Hughes. Sahil leads the analytics module of Cordant Asset Health, which help manage and prioritize the health of assets by leveraging advanced analytics—AI/ML and physics based models combined.
Sahil has served for over 18 years in various capacities in product management, data scientist, project management, solution architect and customer engagement for digital transformation. He has a background in analytics development and helped multiple customers build their digital transformation journeys to generate value from the analysis of data. He is passionate about working with the customers to understand the problems they are trying to solve and draw up on his extensive experience in application of contemporary analytics techniques and enterprise scale application development.
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