Advantech’s mission is to enable an intelligent planet with Automation and Embedded Computing products and solutions that empower the development of smarter working and living. With Advantech, there is no limit to the applications and innovations our products make possible!
IoT at the Edge
Claim This Podcastby IoT at the Edge
4.0(4 reviews)
5 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸
Podcast Overview
Advantech’s mission is to enable an intelligent planet with Automation and Embedded Computing products and solutions that empower the development of smarter working and living. With Advantech, there is no limit to the applications and innovations our products make possible!
Language
🇺🇲
Publishing Since
3/3/2021
1 verified contact email on file for IoT at the Edge
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
July 14, 2021
Episode 15: Tackling the issues of AI based facial recognition
With cameras seemingly everywhere, facial recognition is an understandably popular application of AI in the quest for enhancing safety, security and convenience. But it’s also laced with thorny issues around privacy, ethical use and bias. In today’s episode, Anyvision CTO Dieter Joecker helps pull apart those issues, both on the technology the evolving regulations fronts.
June 14, 2021
Episode 14: The Achilles heel of Factory 4.0
In today’s episode we continue to focus on that very messy edge-of-network in industrial settings and how to solve this Factory-4.0 Achilles heel. Joining the discussion is PTC Kepware’s Kyle Carreau. Kepware has been solving the messy edge problem for the world of OT since well before “IoT.” Now, under the spotlight of more OT-IT convergence and real progress in deploying Industrial IoT solutions, PTC Kepware finds itself in the right place, at the right time to help solve those messy problems at the edge, both with their traditional KEPServerEX or pushing out to the very networks edge with ThingWorx Kepware Edge deployed on widely distributed industrial gateways and PC’s.
May 18, 2021
Episode 13: Scaling Digital Transformation while Modernizing our Aging Electrical Grid
The world of electrical energy has shifted dramatically in the past few decades, and this shift has been outpacing the modernization of the electrical grid itself. In order to balance and mitigate challenges from changes in the electrical grid, it is paramount that utilities begin to modernize infrastructure and start to participate in active grid management with data-driven, autonomous decisions. This means adding edge intelligence into substations and building a modern infrastructure at the edge. Learn about this and more as Mike Fahrion, CTO of the Industrial-IoT Group for Advantech North America, talks with Prithpal Khajuria, Global Segment leader for Smart Infrastructure at Intel, and Jason Shepherd, VP of Ecosystems at ZEDEDA.
5 total episodes available
Deep-dive analytics for IoT at the Edge
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is IoT at the Edge?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.