
Aderant transforms cloud operations with Amazon Quick
Quick Answer
Aderant leveraged Amazon Quick's AI capabilities to unify search across six vendor systems, resulting in 90% faster search times and a 75% acceleration in documentation workflows.
Quick Take
Aderant leveraged Amazon Quick's AI capabilities to unify search across six vendor systems, resulting in 90% faster search times and a 75% acceleration in documentation workflows. This transformation showcases how organizations can enhance operational efficiency through advanced cloud solutions.
Key Points
- Achieved 90% faster search times across six vendor systems.
- Automated documentation workflows with a 75% acceleration.
- Utilized Amazon Quick's AI capabilities for operational efficiency.
- Demonstrates potential for similar transformations in other organizations.
- Highlights the impact of cloud solutions on workflow optimization.
Article Excerpt
From source RSS / original summaryIn this post, we share how Aderant used the AI-powered capabilities of Amazon Quick to unify search across six vendor systems and automate documentation workflows, achieving 90 percent faster search times and 75 percent documentation acceleration, and how others can apply these approaches to their operations.
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from AWS Machine Learning
See more →
Best practices for multi-turn reinforcement learning in Amazon SageMaker AI
This article outlines best practices for multi-turn reinforcement learning (RL) training in Amazon SageMaker. Key strategies include establishing a reliable training environment, implementing external evaluations, designing task-aligned rewards, managing agent behavior over multiple turns, and monitoring performance metrics to guide iterative improvements.

