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المحتوى المقدم من EDGE AI FOUNDATION. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة EDGE AI FOUNDATION أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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The future belongs to greasy machines that think for themselves - Anoop Balachandran of Tinkerblox

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Manage episode 498446527 series 3574631
المحتوى المقدم من EDGE AI FOUNDATION. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة EDGE AI FOUNDATION أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

From cloud dependency to edge autonomy – we explore the frontier of intelligent edge computing with TinkerBlocks co-founder Anoop.
Imagine a world where your machines don't need to phone home to make decisions. That's the vision driving TinkerBlox, a startup founded by former Bosch Digital executives who saw firsthand how IoT implementations were hamstrung by excessive reliance on cloud processing. Their mission: bring intelligence to where the action happens – directly on devices at the edge.
The realization that sparked TinkerBlox came from observing industrial OEMs struggling with cloud-dependent architectures for their "greasy machines." While cloud excels for cloud-native applications, forcing these technologies onto edge devices creates bottlenecks, latency issues, and unnecessary costs. As Anoop explains, "Edge is tomorrow" – not just because of technological evolution, but because practical applications demand localized intelligence that cloud architectures can't efficiently provide.
What makes TinkerBlox unique is their approach to standardization and orchestration for the heterogeneous edge. Drawing inspiration from how cloud providers standardized server operations, they're creating reference architectures that respect edge constraints while enabling interoperability. We hear fascinating examples from automotive systems transitioning to vehicle-to-everything (V2X) communication and defense applications where drone swarms need resilient distributed leadership capabilities when individual units fail. Rather than selling directly to end customers, TinkerBlocks positions itself as the "secret ingredient" enabling system integrators and solution providers to deliver superior edge performance.
Curious about how edge computing might transform your industry? This conversation illuminates how purpose-built edge intelligence can overcome the scalability challenges that have limited IoT adoption. Subscribe to our podcast for more insights on emerging technologies that are reshaping how we interact with the physical world.

Send us a text

Support the show

Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org

  continue reading

فصول

1. Introduction to TinkerBlocks (00:00:00)

2. The Edge Intelligence Gap (00:03:11)

3. Creating Edge Native Infrastructure (00:06:30)

4. Edge Orchestration and Standards (00:09:30)

5. Real-World Applications (00:16:03)

6. Go-to-Market Strategy and Future Vision (00:19:33)

60 حلقات

Artwork
iconمشاركة
 
Manage episode 498446527 series 3574631
المحتوى المقدم من EDGE AI FOUNDATION. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة EDGE AI FOUNDATION أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

From cloud dependency to edge autonomy – we explore the frontier of intelligent edge computing with TinkerBlocks co-founder Anoop.
Imagine a world where your machines don't need to phone home to make decisions. That's the vision driving TinkerBlox, a startup founded by former Bosch Digital executives who saw firsthand how IoT implementations were hamstrung by excessive reliance on cloud processing. Their mission: bring intelligence to where the action happens – directly on devices at the edge.
The realization that sparked TinkerBlox came from observing industrial OEMs struggling with cloud-dependent architectures for their "greasy machines." While cloud excels for cloud-native applications, forcing these technologies onto edge devices creates bottlenecks, latency issues, and unnecessary costs. As Anoop explains, "Edge is tomorrow" – not just because of technological evolution, but because practical applications demand localized intelligence that cloud architectures can't efficiently provide.
What makes TinkerBlox unique is their approach to standardization and orchestration for the heterogeneous edge. Drawing inspiration from how cloud providers standardized server operations, they're creating reference architectures that respect edge constraints while enabling interoperability. We hear fascinating examples from automotive systems transitioning to vehicle-to-everything (V2X) communication and defense applications where drone swarms need resilient distributed leadership capabilities when individual units fail. Rather than selling directly to end customers, TinkerBlocks positions itself as the "secret ingredient" enabling system integrators and solution providers to deliver superior edge performance.
Curious about how edge computing might transform your industry? This conversation illuminates how purpose-built edge intelligence can overcome the scalability challenges that have limited IoT adoption. Subscribe to our podcast for more insights on emerging technologies that are reshaping how we interact with the physical world.

Send us a text

Support the show

Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org

  continue reading

فصول

1. Introduction to TinkerBlocks (00:00:00)

2. The Edge Intelligence Gap (00:03:11)

3. Creating Edge Native Infrastructure (00:06:30)

4. Edge Orchestration and Standards (00:09:30)

5. Real-World Applications (00:16:03)

6. Go-to-Market Strategy and Future Vision (00:19:33)

60 حلقات

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