Cloud LLMOps: Mastering AWS Bedrock, Azure OpenAI, and Google Vertex AI

Deep dive into cloud LLMOps platforms. Compare AWS Bedrock, Azure OpenAI Service, and Google Vertex AI with practical implementations, RAG patterns, and enterprise considerations.

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Enterprise GenAI: Taking AI Applications from Prototype to Production at Scale

Deploy GenAI at enterprise scale. Learn model routing, observability, security patterns, cost management, and what the future holds for AI in production.

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Building Enterprise AI Applications with AWS Bedrock: What Two Years of Production Experience Taught Me

When AWS announced Bedrock in 2023, I was skeptical. Another managed AI service promising to simplify generative AI adoption? After two years of production deployments across financial services, healthcare, and retail, I’ve learned what actually matters when building enterprise AI applications. AWS Bedrock Enterprise Architecture The Foundation Model Landscape Has Matured The most significant evolution […]

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AWS Bedrock: Building Enterprise Generative AI Applications on AWS

AWS re:Invent 2024 brought significant updates to Amazon Bedrock, and after spending the past month integrating these capabilities into production systems, I want to share what actually matters for enterprise adoption. Having built generative AI applications across multiple cloud platforms over the past two decades, Bedrock represents a meaningful shift in how we can deploy […]

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Enterprise Generative AI: A Solutions Architect’s Framework for Production-Ready Systems

After two decades of building enterprise systems, I’ve witnessed numerous technology waves—from SOA to microservices, from on-premises to cloud-native. But nothing has matched the velocity and transformative potential of generative AI. The challenge isn’t whether to adopt it; it’s how to do so without creating technical debt that will haunt your organization for years. The […]

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