Remove Architecture Remove Quality Assurance Remove Scalability
article thumbnail

12 AI predictions for 2025

CIO

He expects the same to happen in all areas of software development, starting with user requirements research through project management and all the way to testing and quality assurance. Agents can be more loosely coupled than services, making these architectures more flexible, resilient and smart.

article thumbnail

Revolutionize your site for growth, innovation, and customer satisfaction with composable architecture

CIO

In the realm of systems, this translates to leveraging architectural patterns that prioritize modularity, scalability, and adaptability. Headless, composable architectures are helping businesses select best-of-breed products and compose them into a system that aligns with business goals. What is a composable architecture?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

BQA oversees a comprehensive quality assurance process, which includes setting performance standards and conducting objective reviews of education and training institutions. The architecture seamlessly integrates multiple AWS services with Amazon Bedrock, allowing for efficient data extraction and comparison.

Education 112
article thumbnail

Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

MaestroQA augments call center operations by empowering the quality assurance (QA) process and customer feedback analysis to increase customer satisfaction and drive operational efficiencies. MaestroQA integrated Amazon Bedrock into their existing architecture using Amazon Elastic Container Service (Amazon ECS).

article thumbnail

CIOs take note: Platform engineering teams are the future core of IT orgs

CIO

Those highly scalable platforms are typically designed to optimize developer productivity, leverage economies of scale to lower costs, improve reliability, and accelerate software delivery. They may also ensure consistency in terms of processes, architecture, security, and technical governance.

article thumbnail

Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

AWS Machine Learning - AI

By the end of this post, you will understand how the latest Amazon Bedrock evaluation features can streamline your approach to AI quality assurance, enabling more efficient and confident development of RAG applications. The job creation configuration settings in your results pages can help keep a historical record here.

article thumbnail

Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning - AI

With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible. The preceding architecture diagram showcases a pipeline for processing and retrieving insights from multimodal content using Amazon Bedrock Data Automation and Amazon Bedrock Knowledge Bases.

Data 117