Bringing AI to the Edge - On Premise Azure Cognitive Services - Open Source

Overview

Delve into the world of on-premise AI with Azure Cognitive Services. This event showcases the use of Azure's container-based approach to bring AI capabilities to the edge.

You'll get a firsthand look at how local Face and Text services operate through engaging demos.

Whether you're a developer or an AI enthusiast, this session will equip you with the necessary skills to configure and implement edge AI solutions effectively. Join us to explore the possibilities of deploying AI locally and transforming your AI projects with open-source tools and platforms.

Syllabus

• Introduction to AI on the Edge
Understanding Edge AI
Benefits of On-Premise AI Deployments
• Overview of Azure Cognitive Services
Introduction to Azure Cognitive Services
Key Services: Face, Text, and More
• Setting Up On-Premise AI Solutions
Azure Cognitive Services Containers
Installation and Configuration
• Face Recognition and Analysis
Local Face Service Configuration
Implementation Best Practices
Hands-On Demo: Setting Up Face Service
• Text Processing at the Edge
Local Text Processing Configuration
Implementation Best Practices
Hands-On Demo: Setting Up Text Service
• Integrating Azure Cognitive Services with Existing Infrastructure
Data Security and Privacy Considerations
Managing Resources and Scaling Solutions
• Open Source and Community Tools
Overview of Relevant Open Source Tools
How to Leverage Community Contributions
• Building Edge AI Applications
Design Considerations for Edge AI
Use Cases and Industry Applications
• Monitoring and Maintenance
Monitoring Systems for Performance and Reliability
Updating and Maintaining AI Services
• Real-World Case Studies
Successful Implementations of Edge AI
Lessons Learned and Best Practices
• Course Conclusion and Next Steps
Recap and Key Takeaways
Further Learning Resources and Opportunities

---

Subjects

Conference Talks