Podcast thumbnail for Cutting Edge AI

Cutting Edge AI

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by Cutting Edge AI Team

7 episodes
Updated Daily
Accepts GuestsHas Sponsors
6

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality12
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YouTube0
Engagement0

Podcast Overview

<p>Cutting Edge AI is your front-row seat to the transformation happening where artificial intelligence meets the physical world. As AI continues to move beyond the cloud, this podcast dives deep into the exciting, complex, and rapidly evolving world of Edge AI — intelligence embedded in the devices and systems around us.</p>

Language

🇺🇲

Publishing Since

6/22/2025

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6

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality12
Social0
YouTube0
Engagement0
4
Excellent Areas
2
Good Performance
13
Growth Opportunities
excellent
Publishing Consistency
Every 5 days
Performing excellently!
good
Show Notes Quality
3.0/5

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Recent Episodes

Episode thumbnail for From Mindshare to Market Share: The Product Playbook for Edge AI

July 24, 2025

From Mindshare to Market Share: The Product Playbook for Edge AI

<p>In this episode - Edge AI often struggles to scale because its platforms are frequently built by engineers for engineers, rather than product managers for users, leading to demos that don't convert to deployable products and systems optimized for evaluation instead of real-world jobs-to-be-done and scalable lifecycle management.... To unlock true potential, a fundamental product management mindset shift is crucial, focusing on the Job-to-Be-Done for users, designing for the entire lifecycle including OTA updates and total cost of ownership.., measuring activation (demo-to-deployment conversion), optimizing for Time-to-Value, segmenting the developer base, treating developer success as a Go-to-Market channel, and ensuring reliability in diverse environments. This shift from a "demo machine" to a "product" mindset is the missing enabler for Edge AI's widespread adoption and scaling</p>

Episode thumbnail for “What If Your Camera Could Talk? Edge AI with Cascaded CV and VLMs”

July 19, 2025

“What If Your Camera Could Talk? Edge AI with Cascaded CV and VLMs”

<p>In this episode and the accompnying YouTube video (<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=ZggetZn2XQY">https://www.youtube.com/watch?v=ZggetZn2XQY</a>), you will gain insight into model cascading, a powerful edge AI pattern where multiple AI models are chained together on a single edge device</p><p>You will learn how this approach leverages a lightweight model for rapid, common inferences, conditionally triggering a heavier, more complex model for deeper understanding when needed, effectively acting as a "triage system". This showcases the ability to achieve semantic understanding of the physical world in real-time without sending data to the cloud. </p><p>You will understand the significant advantages of running both models on the same edge device, which include real-time operation, low latency, privacy preservation, reduced bandwidth and cost, and enhanced power and compute efficiency, ultimately resulting in a scalable, maintainable, and future-proof edge AI pipeline</p><p>Furthermore, the episode will highlight the broad applicability and generalizability of this architecture across various real-world scenarios, such as retail for shopper analysis, smart cities for vehicle behavior insights, industrial safety for human posture and behavior analysis, and agriculture for plant health assessment. </p><p>This combination of fast computer vision with semantic VLM inference unlocks capabilities far beyond what either model could achieve alone6, encouraging developers to explore similar on-device cascading models for applications like gesture detection with intent understanding or defect detection with root cause explanation</p>

Episode thumbnail for A Developer's first AI journey on an Edge Platform!

July 18, 2025

A Developer's first AI journey on an Edge Platform!

<p>This episode imagines a comprehensive developer's journey using an edge AI platform, starting from unboxing a development kit to deploying and monitoring AI applications at scale. It details a step-by-step process for creating AI solutions, emphasizing practical application and developer-friendly tools. The guide covers everything from choosing a use case and running pre-tested models to customizing pipelines, integrating own models, and troubleshooting. Ultimately, it highlights the platform's ability to support the entire AI lifecycle, from training and optimization to deployment and continuous monitoring.</p>

7 total episodes available

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What is Cutting Edge AI?
<p>Cutting Edge AI is your front-row seat to the transformation happening where artificial intelligence meets the physical world. As AI continues to move beyond the cloud, this podcast dives deep into the exciting, complex, and rapidly evolving world of Edge AI — intelligence embedded in the devices and systems around us.</p>
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?

Information about guest appearances is not available.

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