Gayathri
Jeganmohan
Software Engineer at Microsoft
"Get 10x Faster, 50% Fewer Bugs with GenAI in IoT"
"Get 10x Faster, 50% Fewer Bugs with GenAI in IoT"
Wed May 21 - 5:10 PM EDT/New York (See in local time)
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05/21/2025 5:10 PM
05/21/2025 05:30 PM
America/New_York
#WTGC2025
"Get 10x Faster, 50% Fewer Bugs with GenAI in IoT"
#WTGC2025
"Get 10x Faster, 50% Fewer Bugs with GenAI in IoT"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Get 10x Faster, 50% Fewer Bugs with GenAI in IoT"
"Get 10x Faster, 50% Fewer Bugs with GenAI in IoT"
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Session: Get 10x Faster, 50% Fewer Bugs with GenAI in IoT
Generative AI is revolutionizing IoT development—cutting firmware deployment time by 10x, reducing bugs by 50%, and automating tasks once thought impossible. From self-configuring IoT networks to AI-generated sensor simulations, developers can now build and optimize intelligent systems faster than ever. In this session, we’ll explore:1. Zero-touch provisioning: Automate IoT fleet configuration and firmware updates using LLMs.
2. Data synthesis at scale: Generate realistic sensor data to train AI models without costly real-world collection.
3. Lightweight AI at the edge: Use generative models to compress and fine-tune deep learning models for constrained devices.
4. Flow of industry standards with Industry standard examples like Azure IoT
Key Takeaways
- Accelerate IoT Development by 10x: Use Generative AI to automate firmware updates, device provisioning, and code generation—cutting deployment time from weeks to hours.
- Reduce Debugging Effort by 50%: AI-powered anomaly detection and self-healing configurations help identify and fix issues before they impact production, reducing costly downtime.
- Optimize AI Models for Edge Devices with 90% Compression: Leverage Generative AI to create lightweight AI models, reducing memory footprint while maintaining accuracy for real-time IoT applications.
Bio
Gayathri Jeganmohan is a Software Engineer at Microsoft with nearly a decade of Industry experience in IoT and Embedded Software. She is currently working in Azure IoT Operations developing IoT solutions that are highly available and scalable by exploring AI solutions.