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Beyond the Edge - Analyst Insights at AUSTIN 2025

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Manage episode 480066407 series 3574631
Content provided by EDGE AI FOUNDATION. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EDGE AI FOUNDATION 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://ppacc.player.fm/legal.

What happens when four tech industry veterans sit down to dissect the future of Edge AI? A no-holds-barred conversation that cuts through the hype and delivers actionable insights for anyone working in this rapidly evolving field.
The panelists tackle the burning question head-on: How can Edge AI avoid becoming the "box of cables in your garage" that IoT transformed into? Through candid discussion, they reveal that success depends less on technical prowess and more on solving real business problems with clear ROI. As one panelist bluntly states, "The customer doesn't care about MQTT or AMQP protocols—nobody cared. They care about outcomes."
The conversation weaves through crucial territory—the boundary between IT and OT systems, the evolving relationship between cloud and edge architectures, and the stark reality of skills shortages in the semiconductor industry. With semiconductor companies doubling in size over the next eight years while facing an aging workforce, the panel highlights urgent needs for reskilling and education initiatives.
Perhaps most provocatively, the panel addresses the uncomfortable truth about AI adoption: "How many employees is your technology going to replace?" This question, frequently asked by VCs, underscores the economic drivers pushing Edge AI forward in an era of changing workforce demographics and productivity challenges.
For small and medium businesses, there's both opportunity and risk as AI becomes embedded in SaaS offerings and purpose-built solutions emerge for specific industry problems. The panelists predict that Edge AI might actually benefit smaller players more than large enterprises by democratizing access to sophisticated capabilities through platform-based approaches.
Whether you're developing Edge AI solutions, investing in the space, or considering adoption for your business, this discussion provides essential context for navigating the significant opportunities and challenges ahead. Subscribe to hear more industry experts cut through the noise and deliver practical wisdom for the intelligent edge.

Send us a text

Support the show

Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org

  continue reading

Chapters

1. Panel Introductions and Background (00:00:00)

2. Avoiding IoT's Fate for Edge AI (00:05:44)

3. The Diversity Challenge in IoT Solutions (00:09:59)

4. Understanding Edge vs. Cloud Architecture (00:15:07)

5. Real-World Edge AI Solutions (00:24:11)

6. Commercialization and Market Challenges (00:34:38)

7. Skills Gap in the Semiconductor Industry (00:40:38)

8. Audience Q&A on OT Integration (00:48:44)

9. Edge AI for Small and Medium Businesses (00:56:34)

38 episodes

Artwork
iconShare
 
Manage episode 480066407 series 3574631
Content provided by EDGE AI FOUNDATION. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EDGE AI FOUNDATION 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://ppacc.player.fm/legal.

What happens when four tech industry veterans sit down to dissect the future of Edge AI? A no-holds-barred conversation that cuts through the hype and delivers actionable insights for anyone working in this rapidly evolving field.
The panelists tackle the burning question head-on: How can Edge AI avoid becoming the "box of cables in your garage" that IoT transformed into? Through candid discussion, they reveal that success depends less on technical prowess and more on solving real business problems with clear ROI. As one panelist bluntly states, "The customer doesn't care about MQTT or AMQP protocols—nobody cared. They care about outcomes."
The conversation weaves through crucial territory—the boundary between IT and OT systems, the evolving relationship between cloud and edge architectures, and the stark reality of skills shortages in the semiconductor industry. With semiconductor companies doubling in size over the next eight years while facing an aging workforce, the panel highlights urgent needs for reskilling and education initiatives.
Perhaps most provocatively, the panel addresses the uncomfortable truth about AI adoption: "How many employees is your technology going to replace?" This question, frequently asked by VCs, underscores the economic drivers pushing Edge AI forward in an era of changing workforce demographics and productivity challenges.
For small and medium businesses, there's both opportunity and risk as AI becomes embedded in SaaS offerings and purpose-built solutions emerge for specific industry problems. The panelists predict that Edge AI might actually benefit smaller players more than large enterprises by democratizing access to sophisticated capabilities through platform-based approaches.
Whether you're developing Edge AI solutions, investing in the space, or considering adoption for your business, this discussion provides essential context for navigating the significant opportunities and challenges ahead. Subscribe to hear more industry experts cut through the noise and deliver practical wisdom for the intelligent edge.

Send us a text

Support the show

Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org

  continue reading

Chapters

1. Panel Introductions and Background (00:00:00)

2. Avoiding IoT's Fate for Edge AI (00:05:44)

3. The Diversity Challenge in IoT Solutions (00:09:59)

4. Understanding Edge vs. Cloud Architecture (00:15:07)

5. Real-World Edge AI Solutions (00:24:11)

6. Commercialization and Market Challenges (00:34:38)

7. Skills Gap in the Semiconductor Industry (00:40:38)

8. Audience Q&A on OT Integration (00:48:44)

9. Edge AI for Small and Medium Businesses (00:56:34)

38 episodes

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