Tag: Enterprise AI

When AI Becomes the Architect: How Agentic Systems Are Redefining What Software Can Build Itself

Posted on 7 min read

The moment I watched an AI system autonomously debug its own code, refactor a function, and then write tests for the changes it made, I realized we had crossed a threshold that would fundamentally change how we think about software development. This wasn’t a chatbot responding to prompts. This was an agent, a system with… Continue reading

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

Posted on 6 min read

When AWS announced Bedrock in 2023, I was skeptical. Another managed AI service promising to simplify generative AI adoption? We had seen this movie before with various cloud providers offering half-baked solutions that worked great in demos but crumbled under production workloads. Two years and dozens of enterprise implementations later, I can confidently say that… Continue reading

AWS Bedrock: Building Enterprise Generative AI Applications on AWS

Posted on 4 min read

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… Continue reading

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

Posted on 5 min read

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… Continue reading