Ram Seetepalli

Director, AI and Digital Solutions Motiva

Ram is a Technology Executive with over 25 years of experience in leveraging highly relevant innovation and technology for transformation across industries in strategic decision-making and operational excellence. He has consulted as an advisor to several Fortune 100 organizations on driving innovation with technology and to deliver measurable business value. He has worked with top global consulting services firms successfully guiding organizations through complex transformations that integrate cutting-edge technologies and analytics with existing processes. Working at the intersection of ET, IT and OT, and a passionate advocate for applied innovation and AI, Ram is a frequent speaker at industry events, trade shows and professional community events on topics including Innovation, Digitalization, Data Platforms, and AI/Analytics. He has also served as a technical advisor to multiple start-ups in domains such as commodity transportation, robotics, unmanned aerial vehicles etc. In his spare time, he mentors aspiring tech leaders, helping cultivate next generation of technologists and innovators.

Deep Dive Focus Day - Tuesday September 22

3:50 PM WORKSHOP E: AI for Predictive Maintenance: From First Step to Full Scale

As AI use explodes in asset-intensive operations, reliability, integrity and maintenance leaders face two critical challenges: learning how to build and test the right AI tools and knowing when AI is genuinely the best solution. Through comparative examples drawn from actual maintenance, inspection and turnaround environments, attendees will learn how to develop an AI toolbox, validate models safely, and apply clear criteria for deciding when AI adds value and when simpler automation delivers better outcomes with less complexity.

● Assessing AI readiness: Ensuring people, systems and assets are AI‑ready, from OT compatibility to upskilling frontline maintenance teams

● Developing an AI roadmap with clear success metrics, business value alignment and real-world examples of what "success" looks like

● Building and testing AI models safely through structured POC environments

● Identifying essential data requirements for PdM, CBM, RBI, inspection analytics and turnaround optimization

● Identifying use cases: Determining when AI is the right tool VS when simpler automation can achieve the same

reliability outcome more efficiently

● Implementing governance and oversight frameworks that maintain traceability, control and auditability

Conference Day 1 - Wednesday September 23

9:10 AM Fireside Chat: Predictive Maintenance and AI/ML Based Anomaly Detection: What’s Holding you Back?

How technology adoption impacts maintenance productivity: Leveraging predictive maintenance, robotics and more in the fact of cost increases, labor shortages, and pressure to improve agility
Why most organizations struggle to scale beyond early wins: from fragmented priorities and inconsistent leadership alignment to a lack of enterprise‑wide visibility
Accelerating outcomes by focusing investment, data, people and processes on the RIGHT levers
What leadership behaviors, governance structures and cross‑functional collaboration models are required to turn AI, robotics and digital tools into sustained performance, not isolated pilots

Check out the incredible speaker line-up to see who will be joining Ram.

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