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AWS Bedrock

Using Amazon Titan Models: Strengths, Limits, and When to Avoid Them

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Introduction Amazon Titan is AWS’s own family of foundation models, offered via Amazon Bedrock.Unlike OpenAI or Anthropic models, Titan is designed to be enterprise-first, cost-efficient, and natively integrated with AWS services.But it’s not a silver bullet for every GenAI problem.In this post, we’ll break down:Where Titan models shineWhere they fall shortAnd how to decide if […]

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Deploying Chatbots on AWS with Bedrock + Lex + Lambda

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Introduction Chatbots aren’t new. But GenAI-powered chatbots? That’s a different ball game, especially when deployed securely, scalably, and serverlessly on AWS. In this guide, we’ll show you how to build and deploy a production-grade chatbot on AWS using: High-Level Architecture SQL User → Amazon Lex → AWS Lambda → Amazon Bedrock (Claude/Titan) → Response →

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Security & Compliance for GenAI Apps on AWS

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Introduction As GenAI moves from demos to production, security and compliance move from afterthought to foundation.Whether you’re building a chatbot, document processor, or AI agent, trust matters.And in regulated industries like finance, healthcare, or the public sector, it’s non-negotiable.In this post, we’ll walk through the key security and compliance controls for building GenAI apps on

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Automation with AI: What It Really Means in 2025

Leave a Comment / Automation with AI Series /

Introduction Automation isn’t new. Businesses have been scripting workflows and streamlining processes for decades.But in 2025, AI-fueled automation has fundamentally changed the game.This is no longer about “if-this-then-that.” It’s about if-this-then-predict-that, adjust-this, and learn-from-that, without writing thousands of lines of logic.In this kickoff post, we define what AI-powered automation really means today, how it’s different

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How to Automate Business Workflows with AWS Step Functions + Lambda + GenAI

Leave a Comment / Automation with AI Series /

Introduction In the age of GenAI, automation is no longer just about replacing human effort—it’s about enhancing decision-making, injecting intelligence into repetitive workflows, and freeing teams from manual bottlenecks.With AWS Step Functions + Lambda + Bedrock, you can build AI-powered automation pipelines that are not only event-driven but also context-aware, scalable, and enterprise-secure.This post walks

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Workflow Automation in DevOps: AI + EventBridge + CodePipeline

Leave a Comment / Automation with AI Series /

Introduction DevOps thrives on automation. But as environments grow more complex, static automation rules can create just as much friction as they remove.AWS already gives us powerful native automation tools like EventBridge and CodePipeline.Now, by integrating AI into that workflow, you can build adaptive pipelines; pipelines that change behavior based on context, risk level, and

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How to Build Your First Custom LLM Application on AWS

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Introduction LLMs aren’t just for chatbots anymore.From intelligent agents to contract review to personalized summaries, custom LLM applications are reshaping workflows across every industry.But building one on AWS doesn’t have to be overwhelming. In this post, we’ll walk you through a step-by-step architecture to launch your first custom LLM app using AWS-native tools. Step 1:

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