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Reference Architecture of AI in the Cloud

Conf42 via YouTube

Overview

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Explore the comprehensive reference architecture for implementing AI solutions in cloud environments through this 47-minute conference talk from Conf42 Cloud Native 2025. Discover the critical importance of cloud and AI integration while examining the challenges and future prospects of AI implementation. Learn about the technical scope of AI services and identify key areas for modernization in your infrastructure. Master essential concepts including scalability and performance optimization, data governance and security protocols, and strategies for balancing innovation with compliance requirements. Understand cost management principles specific to AI and cloud deployments, along with deployment strategies for maximum efficiency. Examine various tools and services available for AI integration, and apply these concepts through a practical example demonstrating the modernization of an e-commerce application. Gain insights into best practices for architecting AI solutions that are scalable, secure, and cost-effective while maintaining compliance standards in cloud-native environments.

Syllabus

00:00 Introduction and Session Overview
01:07 Speaker Introduction and Background
01:43 Importance of Cloud and AI
03:05 Challenges and Future of AI Integration
06:31 Technical Scope of AI Services
12:33 Key Areas of Modernization
13:00 Scalability and Performance
14:00 Data Governance and Security
16:33 Balancing Innovation and Compliance
17:10 Cost Management in AI and Cloud
18:07 Deployment and Efficiency
25:25 Tools and Services for AI Integration
39:59 Example: Modernizing an E-commerce Application
44:54 Final Thoughts and Conclusion

Taught by

Conf42

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