A leading European film education institution deployed a fully serverless AWS solution to automate the extraction of film credits from video files. The solution reduced processing time from 30 minutes to 1 minute per film, achieving a 96% improvement and enabling 5x overall efficiency gains.
Using Amazon SageMaker, a European agricultural university cut GenAI/LLM dev costs by 50% and accelerated model training by 80%. The cloud environment enables researchers to build and fine-tune custom foundation models for environmental science applications, speeding up innovation.
A national insurance coordination organization deployed an AI agent using Amazon Bedrock and Amazon Lex to modernize customer service operations. The solution provides 24/7 customer support while reducing routine inquiry handling costs by 40%.
The objective of the project was to establish a highly available infrastructure that could efficiently and securely handle connections from multiple clients while maintaining optimal cost-effectiveness. The final solution evolved through ongoing discussions and the collection of project requirements. The initial architecture provided by the client fell short of meeting all the requirements. Working collaboratively with the client, we delved into designing the ultimate solution architecture while the client verified the feasibility of the proposed solutions within their application.