Enterprise Innovation at Scale with AWS AI Services
Low-code AI Solutions to Enterprise Problems
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Beschreibung
Find out how to turn the latest AWS AI capabilities into practical, production-ready solutions that transform enterprise operations, improve customer and employee experiences, and accelerate business outcomes. Through a fictional enterprise called Supertron LLC, this book takes you room by room across the organization, showing how low-code, no-code, and agentic AI patterns can solve real business problems in document processing, personalization, contact centers, manufacturing, workforce productivity, forecasting, compliance, and engineering.
You will build solutions using services and capabilities including Amazon Textract, Amazon Comprehend, Amazon A2I, Amazon Personalize, Amazon Lex, Amazon Transcribe, Amazon Translate, Amazon Bedrock, Amazon Nova, Amazon SageMaker Canvas, Amazon QuickSuite, Kiro, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock AgentCore. The hands-on journey progresses from intelligent document processing and conversational recommendations to multimodal visual inspection, no-code demand forecasting, grounded compliance agents, and browser-capable engineering agents. The final chapter brings these solutions together through an Agentic AI Framework and a Gen AIOps lifecycle for governing, monitoring, and continuously improving AI at enterprise scale.
Each chapter starts with a concrete business challenge, helps you decide whether AI is the right approach, explains the architecture and service choices, and walks you through implementing a realistic solution with attention to reliability, cost, governance, human oversight, and production trade-offs. No machine learning or data science background is required, but basic Python skills will help you get the most from the hands-on examples. This book is designed for architects, engineers, developers, technology leaders, and professionals who want to move beyond AI demos and build enterprise AI solutions that can earn and sustain trust in production.
What you will learn:
- How to design and build practical AI solutions for real enterprise business problems using AWS AI services
- How to combine low-code, no-code, generative AI, multimodal AI, RAG, and agentic AI capabilities on AWS
- How to build intelligent document processing, personalization, contact center, visual inspection, productivity, forecasting, compliance, and browser-agent solutions
- How to operationalize enterprise AI with Amazon Bedrock AgentCore, an Agentic AI Framework, and a Gen AIOps lifecycle for reliability, governance, monitoring, and continuous improvement
Find out how to turn the latest AWS AI capabilities into practical, production-ready solutions that transform enterprise operations, improve customer and employee experiences, and accelerate business outcomes. Through a fictional enterprise called Supertron LLC, this book takes you room by room across the organization, showing how low-code, no-code, and agentic AI patterns can solve real business problems in document processing, personalization, contact centers, manufacturing, workforce productivity, forecasting, compliance, and engineering.
You will build solutions using services and capabilities including Amazon Textract, Amazon Comprehend, Amazon A2I, Amazon Personalize, Amazon Lex, Amazon Transcribe, Amazon Translate, Amazon Bedrock, Amazon Nova, Amazon SageMaker Canvas, Amazon QuickSuite, Kiro, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock AgentCore. The hands-on journey progresses from intelligent document processing and conversational recommendations to multimodal visual inspection, no-code demand forecasting, grounded compliance agents, and browser-capable engineering agents. The final chapter brings these solutions together through an Agentic AI Framework and a Gen AIOps lifecycle for governing, monitoring, and continuously improving AI at enterprise scale.
Each chapter starts with a concrete business challenge, helps you decide whether AI is the right approach, explains the architecture and service choices, and walks you through implementing a realistic solution with attention to reliability, cost, governance, human oversight, and production trade-offs. No machine learning or data science background is required, but basic Python skills will help you get the most from the hands-on examples. This book is designed for architects, engineers, developers, technology leaders, and professionals who want to move beyond AI demos and build enterprise AI solutions that can earn and sustain trust in production.
What you will learn:
- How to design and build practical AI solutions for real enterprise business problems using AWS AI services
- How to combine low-code, no-code, generative AI, multimodal AI, RAG, and agentic AI capabilities on AWS
- How to build intelligent document processing, personalization, contact center, visual inspection, productivity, forecasting, compliance, and browser-agent solutions
- How to operationalize enterprise AI with Amazon Bedrock AgentCore, an Agentic AI Framework, and a Gen AIOps lifecycle for reliability, governance, monitoring, and continuous improvement
Shows how to build practical, production-ready AI solutions using AWS services Covers how to combine low-code, generative multimodal AI, and agentic AI patterns to solve enterprise business problems Explains how to operationalize enterprise AI at scale using a proposed GenAIOps lifecycle
Autor*in
Premkumar Rangarajan
Themen in »Enterprise Innovation at Scale with AWS AI Services«
AWS Enterprise Intelligent Document processing Predictive Analytics Amazon Lex Amazon Kendra NLP AIOps