| Operational Excellence | ← People & Process (primary) |
| Security | ← Systems (primary) + all axes |
| Reliability | ← Systems (primary) + Application |
| Performance Efficiency | ← Application (primary) + Systems |
| Cost Optimization | ← Systems (primary) + People & Process |
| Sustainability | ← Systems (primary) + People & Process |
Welcome back, Jane
Here's your GenAI posture through the AWS Well-Architected lens.
Here's what's happening with GenAI in your industry.
Landscape
GenAI landscape through AWS Well-Architected pillars.
What is everyone doing with Generative AI?
Industry Insights by AWS Pillar
Latest Signals
View all →Claude 3.5 achieves near-human performance on complex reasoning benchmarks
Implications for enterprise document processing and analysis workflows...
AWS announces 40% price reduction on Bedrock inference
Significant cost reduction changes build vs. buy calculus for many enterprises...
Claude 3.5 achieves near-human performance on complex reasoning benchmarks
Implications for enterprise document processing and analysis workflows...
AWS announces 40% price reduction on Bedrock inference
Significant cost reduction changes build vs. buy calculus for many enterprises...
AWS announces 40% price reduction on Bedrock inference
Significant cost reduction for Claude and Llama models on Bedrock.
Survey: 78% of enterprises report AI skills gap
Training and hiring challenges persist. Prompt engineering most in-demand.
RAG adoption reaches 45% among Fortune 500
Retrieval-augmented generation becoming standard for enterprise knowledge.
NVIDIA H200 availability improving
GPU shortage easing. Lead times down from 52 weeks to 16 weeks.
Claude 3.5 achieves near-human performance on complex reasoning benchmarks
Implications for enterprise document processing and analysis workflows.
Enterprise AI gateway patterns emerging as standard
Centralized routing, monitoring, and access control for LLM APIs.
AWS announces 40% price reduction on Bedrock inference
Significant cost reduction for Claude and Llama models on Bedrock.
Survey: 78% of enterprises report AI skills gap
Training and hiring challenges persist. Prompt engineering most in-demand.
RAG adoption reaches 45% among Fortune 500
Retrieval-augmented generation becoming standard for enterprise knowledge.
NVIDIA H200 availability improving
GPU shortage easing. Lead times down from 52 weeks to 16 weeks.
Vendor Landscape
| Vendor | Category | Adoption | Trend | Satisfaction |
|---|---|---|---|---|
| OpenAI | Model Provider | 62% | ↑ 8% | 4.2/5 |
| Anthropic | Model Provider | 34% | ↑ 15% | 4.4/5 |
| AWS Bedrock | Platform | 28% | ↑ 12% | 4.0/5 |
| Google Vertex AI | Platform | 24% | ↑ 6% | 3.9/5 |
| Azure OpenAI | Platform | 31% | ↑ 10% | 4.1/5 |
Practices
Proven patterns mapped to AWS Well-Architected pillars.
What's working and what's not? Patterns from the field.
Start with RAG, not fine-tuning
StrongOrganizations seeing faster time-to-value with retrieval-augmented generation. RAG provides 80% of value with 20% of effort.
Prompt management as code
StrongVersion-controlled prompt templates with A/B testing. Teams report 35% improvement in output quality.
Dedicated AI platform teams
EmergingCross-functional teams owning AI infrastructure enable faster adoption. Reduces time-to-deployment by 60%.
LLM gateway pattern
EmergingCentralized API gateway for all LLM calls enables observability, cost tracking, and model switching.
Structured output schemas
StrongJSON schema constraints dramatically improve reliability. 85% reduction in parsing errors with function calling.
Use case prioritization frameworks
StrongScoring models based on feasibility, impact, and risk. Prevents scope creep and ensures measurable ROI.
Multi-model evaluation harnesses
EmergingStandardized benchmarking pipelines for comparing model performance on domain-specific tasks.
Start with RAG, not fine-tuning
StrongOrganizations seeing faster time-to-value with retrieval-augmented generation. RAG provides 80% of value with 20% of effort.
Prompt management as code
StrongVersion-controlled prompt templates with A/B testing. Teams report 35% improvement in output quality.
Dedicated AI platform teams
EmergingCross-functional teams owning AI infrastructure enable faster adoption. Reduces time-to-deployment by 60%.
LLM gateway pattern
EmergingCentralized API gateway for all LLM calls enables observability, cost tracking, and model switching.
Structured output schemas
StrongJSON schema constraints dramatically improve reliability. 85% reduction in parsing errors with function calling.
AI-Powered Fraud Detection at Scale
Reduced fraud losses by 40% using custom ML models.
GPT-4 for Personalized Learning
Integrated LLMs into core product within 6 months, 2x engagement.
AI-First Customer Support
Scaled support to 2M+ merchants with 70% automation rate.
AI-Powered Fraud Detection at Scale
Reduced fraud losses by 40% using custom ML models.
GPT-4 for Personalized Learning
Integrated LLMs into core product within 6 months, 2x engagement.
AI-First Customer Support
Scaled support to 2M+ merchants with 70% automation rate.
Benchmark
Your GenAI maturity through the AWS Well-Architected lens.
How does your organization compare?
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Advisory
Connect with experts and peers.
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Reports
Deep research and analysis from Peerlabs.