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Ep #13: 5G and the Future of the Trucking Industry with Dr. Ashim Bose

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Manage episode 354171413 series 3443788
Content provided by Ashish Jain. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ashish Jain or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

5G is one of the most anticipated, promoted - and debated – technology advancements in modern history. The industry claims that 5G, along with AI and machine learning, will revolutionize connectivity and communications for many business applications. But does 5G play any role in solving the day-to-day challenges for trucking operations? Can 5G make the life of a truck operator any better? Let’s hear what the experts say.

Hi guys, this is your host Ashish Jain, and you are listening to the alignment podcast, where we go beyond the buzzwords and connect the dots between technology and its business impact.

In this episode, we will dive into a day in the life of a truck driver to sift through the realistic impact that 5G can make in the trucking industry. While some pundits indicate that trucking communications are some two years away from adopting 5G technology, we are pleased to be speaking with a transportation industry expert who can shed some realistic light on this subject.

Our guest today is Dr. Ashim Bose, Chief Data Scientist and Vice President of artificial intelligence and machine learning at Omnitracs, a company that provides SaaS-based fleet management solutions for the trucking industry. Dr. Ashim has a PhD in Artificial Intelligence with deep experience in the Automotive, Manufacturing, Transportation, and Telecom verticals. During his two-decade long career, he has helped the Space Telescope Science Institute, Verizon, EDS, HPE, DXC, and a host of other reputable companies solve their technology-to-business alignment challenges.

Contact PrivateLTEand5G

  continue reading

43 episodes

Artwork
iconShare
 
Manage episode 354171413 series 3443788
Content provided by Ashish Jain. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ashish Jain or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

5G is one of the most anticipated, promoted - and debated – technology advancements in modern history. The industry claims that 5G, along with AI and machine learning, will revolutionize connectivity and communications for many business applications. But does 5G play any role in solving the day-to-day challenges for trucking operations? Can 5G make the life of a truck operator any better? Let’s hear what the experts say.

Hi guys, this is your host Ashish Jain, and you are listening to the alignment podcast, where we go beyond the buzzwords and connect the dots between technology and its business impact.

In this episode, we will dive into a day in the life of a truck driver to sift through the realistic impact that 5G can make in the trucking industry. While some pundits indicate that trucking communications are some two years away from adopting 5G technology, we are pleased to be speaking with a transportation industry expert who can shed some realistic light on this subject.

Our guest today is Dr. Ashim Bose, Chief Data Scientist and Vice President of artificial intelligence and machine learning at Omnitracs, a company that provides SaaS-based fleet management solutions for the trucking industry. Dr. Ashim has a PhD in Artificial Intelligence with deep experience in the Automotive, Manufacturing, Transportation, and Telecom verticals. During his two-decade long career, he has helped the Space Telescope Science Institute, Verizon, EDS, HPE, DXC, and a host of other reputable companies solve their technology-to-business alignment challenges.

Contact PrivateLTEand5G

  continue reading

43 episodes

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