41 - Predictive Maintenance and Anomaly Detection: The Future of OEM Operations
Transforming OEMs for the Connected Future: Insights from Deep Nayar, Founder of IoT83
As the manufacturing landscape evolves, Original Equipment Manufacturers (OEMs) are transitioning from traditional hardware providers to data-driven service innovators. In this episode of the AI & Data Driven Leadership Podcast, host Dean Guida speaks with Deep Nayar, Founder of IoT83, about how AI, IoT, and connected platforms are reshaping the way OEMs deliver value. Their conversation dives deep into managing data at scale, creating flexible architectures, and unlocking new business models that drive recurring revenue and long-term growth.
From Hardware to Intelligence: The OEM Shift to Connected Services
Deep Nayar explains that OEMs are at an inflection point—where success depends on their ability to move beyond hardware sales and embrace connected intelligence. With decades of experience in telecommunications and IoT, he highlights how software and AI have become the engines of transformation, enabling real-time monitoring, predictive maintenance, and data-driven decision-making.
The shift, however, comes with challenges: managing massive data volumes, contextualizing information for business value, and evolving organizational mindsets. Deep emphasizes “managing by exception”—focusing on anomalies that reveal inefficiencies, opportunities, or potential failures. By leveraging modular software design, OEMs can deliver customized solutions without inflating development costs, while maintaining control over intellectual property and system agility.
AI further amplifies this transformation by improving both productivity and usability. From AI-assisted coding and citizen development to anomaly detection and predictive maintenance, Deep sees AI as a multiplier—helping OEMs accelerate time-to-market, optimize resources, and build scalable, platform-based ecosystems that evolve with market needs.
About Deep Nayar
Deep Nayar is the Founder of IoT83, a technology leader transforming how OEMs and enterprises deploy IoT and AI-driven platforms. With a career spanning over 25 years in telecommunications, cloud infrastructure, and connected systems, Deep specializes in helping manufacturers transition into digital-first, service-oriented businesses powered by data intelligence.
About IoT83
IoT83 provides cutting-edge IoT and digital transformation platforms designed to help OEMs, technology providers, and enterprises rapidly deploy scalable connected solutions. Through its FLEX83 platform, IoT83 enables organizations to integrate IoT, AI, and data analytics with speed, security, and flexibility—empowering them to build new revenue streams and operational efficiencies.
Links Mentioned in This Episode
Key Episode Highlights
Why OEMs must transition from hardware to connected, data-driven services.
How to “manage by exception” using AI-powered anomaly detection.
The role of modular software architecture in customization and scalability.
Practical data governance strategies: storing only what delivers business value.
How AI enables predictive maintenance, faster development, and greater productivity.
Conclusion
Dean Guida and Deep Nayar’s discussion reveals that the future of OEMs lies in transforming hardware into intelligence. By adopting flexible software architectures, focusing on contextualized data, and leveraging AI for real-time insights, manufacturers can create resilient, high-value ecosystems. This convergence of IoT and AI not only improves operational efficiency but also opens the door to entirely new business models built on innovation, adaptability, and connected growth.
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