AWS
budget allocation; proof-of-concept projects; heavy reliance on third-party solutions and consumer AI tools; shadow AI adoption across business units.
2.5.3 Adopting Organisations are moving from experimentation to systematic adoption. They’ re integrating AI into existing processes, training their people and establishing proper governance structures. A critical consideration is the formation of an AI Center of Excellence. Executive sponsorship is in place, formal budgets are being allocated and AI committees are being formed.
Use cases: document processing using natural language processing; marketing teams implementing AI-powered recommendation engines; risk teams deploying ML for fraud detection.
Key indicators: AI Center of Excellence formation; development of formal AI policies; dedicated AI budget allocation; multiple pilots moving to production; active executive sponsorship.
2.5.4 Optimising AI is successfully running in production. Focus shifts to scale, efficiency and reliability. These customers are ready for more sophisticated solutions.
“ORGANISATIONS ARE INTEGRATING AI INTO EXISTING PROCESSES, TRAINING THEIR PEOPLE AND ESTABLISHING PROPER GOVERNANCE STRUCTURES”
AWS
Organisations are refining processes, customising solutions for specific needs and continuously improving performance.
Use cases: fine-tuning language models for industry-specific applications; enhancing models with new data sources and feedback loops; implementing comprehensive AI governance frameworks.
Key indicators: formal documented AI strategy; regular steering committee meetings; dedicated AI teams operating effectively; multiple AI systems in production; standardised development practices.
24 aws. amazon. com