亚马逊Bedrock与Amazon SageMaker AI的商业价值

The Business Value ofAmazon Bedrock David SchubmehlResearch Vice President,AI and Automation, IDC Table of Contents Table of Contents2Business Value Highlights3Executive Summary4Situation Overview5Amazon Bedrock and Amazon SageMaker AI5Amazon Bedrock5Amazon SageMaker6The Business Value of Amazon Bedrock and Amazon SageMaker AI7Study Demographics7Overview of Study Participants’ GenAI Activities and Initiatives8Choice and Use of Amazon Bedrock and Amazon SageMaker AI9Business Value Results10Summary of Quantitative Benefits11GenAI Model and Development Benefits13GenAI Application and Use Case Impact17GenAI Governance and Security Benefits19IT Staff and Cost Efficiencies21ROI Analysis22Challenges/Opportunities24Conclusion24Appendix A: IDC Business Value Methodology25Appendix B: Summary of Financial Benefits26Appendix C: Accessible Data Tables28About the IDC Analysts29Message from the Sponsor30 Business Value Highlights Clickto jump to related content. Click “Return to Highlights” to get back to this page. 421%three-year ROI 9-monthpayback on investment $131,600average annual value achieved per generative AI (GenAI) use case 43%faster to create a new GenAI model 58%faster development lifecycle, new GenAI use case 39%higher GenAI development team productivity $10.16 millionhigher revenue per organization per year $3.07 millionoperational cost savings per organization per year 39%higher productivity, impacted line-of-business users 35%more efficient IT security teams Executive Summary GenAI is rapidly reshaping the technology landscape, with over half of large organizationsalready deploying GenAI solutions and many more actively investing in pilots andproduction use cases. According to IDC’s latest research, the opportunity for GenAIin the market today is immense: Organizations are moving beyond experimentation to IDC conducted a Business Value study by interviewing organizations usingAmazon Bedrock and Amazon SageMaker AI (AWS AI services) to develop, customize,and deploy GenAI models and applications. The research found that theseAWS services accelerate GenAI model creation, streamline GenAI development IDC projects that interviewed customers will realize average annual benefitsof $131,600 per GenAI use case ($5.63 million per organization) through using •Accelerating GenAI model delivery and application developmentwith standardizedworkflows and interfaces, ease of customization, and robust security and governance •Improving personalization and customer experience through delivery of relevantand high-performing GenAI applications and use cases,which drives higher revenueby increasing customer engagement and meeting customer needs •Increasing the productivity and effectiveness of teams responsible for GenAIand ML-driven applications and use cases,including model development,model customization, and infrastructure management, by minimizing manual effort •Ensuring stronger governance and securitythrough built-in controls and standardizedinterfaces that support compliance, reduce privacy risk, and improve oversight of Situation Overview GenAI is rapidly transitioning from experimental pilots to broad adoption, with nearly halfof organizations already deploying GenAI-enhanced applications in production andthe majority expecting significant increases in GenAI investment over the next year(IDC’sFuture Enterprise Resiliency and Spending Survey, Wave 10,November 2024). Amazon Bedrockand Amazon SageMaker AI Amazon Bedrock Amazon Bedrock is AWS’s platform for building generative AI applications and agents atproduction scale. It provides unified access to a wide variety of foundation models fromleading providers such as Anthropic, DeepSeek, Mistral AI, Meta, OpenAI, and Amazon’s ownNova family of models, all accessible via a single API. Amazon Bedrock enables enterprises to Key features of Amazon Bedrock: •Model choice and customization: Amazon Bedrock offers access to hundreds of top foundation models, including AmazonNova models (text, image, document, video, and interactive speech), and supports custommodel import, fine-tuning, and retrieval-augmented generation workflows. This flexibility •Agentic AI capabilities: The latest innovation is Amazon Bedrock AgentCore, an agentic platform for building,deploying, and operating effective agents securely at scale. AgentCore includes runtime,short- and long-term memory, a gateway for tool discovery and integration, identitymanagement, observability, a code interpreter, browser automation, quality evaluations •Marketplace integration: AWS has launched an AI agent marketplace, streamlining access to prebuilt agents,agent-driven software solutions, and development tools. This ecosystem includesofferings from partners such as Salesforce, Accenture, Automation Anywhere, •Enterprise-grade security and governance:Bedrock incorporates robust guardrails, model evaluation tools, and compliance features, including support for responsible AI and ISO/IEC