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MLDC # UC #2:The Convergence of data in IoT, AI & Blockchain for Autonomous Vehicle industry
📡Welcome to the Learn Data Convergence micro learning podcast , an exclusive knowledge sharing initiative in digital transformation and industry 4.0 in small bites of easily digestible and fast-paced educational videos covering the top 15 emerging technologies and use cases for career future skill and industry ready required for next decade.
➡️Automotive Industry has been going a massive transformation with the advent of Digital Technologies and Data Driven embracement. With advanced Telematics, it is possible to look at capturing real time and minute vehicle diagnostics that can give crucial insights about vehicle health.
🚕Convergence of IOT ,AI and Blockchain play a large role in terms of assisting in terms of driving and what are the corrective actions which you have to take at the same time it can uses All of the GPS sensors cameras, infrared ,climate weather and all to do autonomous in automotive industry.
⌛How do we do a prediction of the vehicle that what’s going to happen in the vehicle or what is it, which I can do in terms of the maintenance through convergence approach IoT, AI and Blockchain?
Automotive Industry 4.0 — CarPass Use case
🚘Using the CarPass Solution We can effectively eradicate all the intermediary agents by means of technology adoption through DATA CONVERGENCE APPROACH of IoT Telematics merged with Machine learning, AI and Blockchain. This kind of solution effectively helps in improving the bottom line margins as well as establishing customers trust in terms of value for money against the asset purchased.
🚢CarPass solution was World’s first data driven pilot which can be easily deployed across automakers around the globe as well as car resellers with optimum benefits leveraging technology instead of relying on other intermediary or third party agents.
🙏Thank you. You’ve, been listening to the Learn DC micro learning podcast. Did you enjoy this podcast? If so, please do leave a short review like it share it, download it subscribe to it. Let me know your suggestions by writing to me or through any of the other social media channels
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By Vijay Gunti
5
44 ratings
📡Welcome to the Learn Data Convergence micro learning podcast , an exclusive knowledge sharing initiative in digital transformation and industry 4.0 in small bites of easily digestible and fast-paced educational videos covering the top 15 emerging technologies and use cases for career future skill and industry ready required for next decade.
➡️Automotive Industry has been going a massive transformation with the advent of Digital Technologies and Data Driven embracement. With advanced Telematics, it is possible to look at capturing real time and minute vehicle diagnostics that can give crucial insights about vehicle health.
🚕Convergence of IOT ,AI and Blockchain play a large role in terms of assisting in terms of driving and what are the corrective actions which you have to take at the same time it can uses All of the GPS sensors cameras, infrared ,climate weather and all to do autonomous in automotive industry.
⌛How do we do a prediction of the vehicle that what’s going to happen in the vehicle or what is it, which I can do in terms of the maintenance through convergence approach IoT, AI and Blockchain?
Automotive Industry 4.0 — CarPass Use case
🚘Using the CarPass Solution We can effectively eradicate all the intermediary agents by means of technology adoption through DATA CONVERGENCE APPROACH of IoT Telematics merged with Machine learning, AI and Blockchain. This kind of solution effectively helps in improving the bottom line margins as well as establishing customers trust in terms of value for money against the asset purchased.
🚢CarPass solution was World’s first data driven pilot which can be easily deployed across automakers around the globe as well as car resellers with optimum benefits leveraging technology instead of relying on other intermediary or third party agents.
🙏Thank you. You’ve, been listening to the Learn DC micro learning podcast. Did you enjoy this podcast? If so, please do leave a short review like it share it, download it subscribe to it. Let me know your suggestions by writing to me or through any of the other social media channels