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EP 190 - Transitioning from CAPEX to OPEX-based Offerings with IoT
Manage episode 380653922 series 1431888
Today, we have Andrei Ciobotar as our guest, who serves as the Chief Technology Officer at Relayr. Relayr provides comprehensive industrial IoT solutions and data-powered financial services to assist their customers in their transition towards Equipment-as-a-Service. With a decade of experience, Andrei is instrumental in relayr's success across cloud development, edge development, and AI engineering.
In this episode, we explored how IoT can facilitate the transition from capital expenditure (CAPEX) to operational expenditure (OPEX) models for industrial equipment suppliers, simultaneously mitigating financial risks for operators. Additionally, we delved into the progression of artificial intelligence within industrial settings, moving away from customized, labor-intensive solutions towards standardized offerings tailored to specific asset categories and application scenarios.
Key Discussion Points:
- What industries are most open to rethinking asset ownership and OEM business models?
- How do predictive maintenance and simulation work together to reduce downtime, considering the complexity of the predictive maintenance process?
- Do you see the value of creating simulated data and how generative AI as part of your tech stack?
If you're curious to know more about our guest, you can find him on:
Website: https://relayr.io/
232 episod
Manage episode 380653922 series 1431888
Today, we have Andrei Ciobotar as our guest, who serves as the Chief Technology Officer at Relayr. Relayr provides comprehensive industrial IoT solutions and data-powered financial services to assist their customers in their transition towards Equipment-as-a-Service. With a decade of experience, Andrei is instrumental in relayr's success across cloud development, edge development, and AI engineering.
In this episode, we explored how IoT can facilitate the transition from capital expenditure (CAPEX) to operational expenditure (OPEX) models for industrial equipment suppliers, simultaneously mitigating financial risks for operators. Additionally, we delved into the progression of artificial intelligence within industrial settings, moving away from customized, labor-intensive solutions towards standardized offerings tailored to specific asset categories and application scenarios.
Key Discussion Points:
- What industries are most open to rethinking asset ownership and OEM business models?
- How do predictive maintenance and simulation work together to reduce downtime, considering the complexity of the predictive maintenance process?
- Do you see the value of creating simulated data and how generative AI as part of your tech stack?
If you're curious to know more about our guest, you can find him on:
Website: https://relayr.io/
232 episod
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