Remove Guidelines Remove Scalability Remove Storage
article thumbnail

AI’s data problem: How to build the right foundation

CIO

As AI solutions process more data and move it across environments, organizations must closely monitor data flows to safeguard sensitive information and meet both internal governance guidelines and external regulatory requirements.

Data 147
article thumbnail

Data trends in 2025

Xebia

In many companies, data is spread across different storage locations and platforms, thus, ensuring effective connections and governance is crucial. By boosting productivity and fostering innovation, human-AI collaboration will reshape workplaces, making operations more efficient, scalable, and adaptable.

Trends 130
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

The solution consists of the following steps: Relevant documents are uploaded and stored in an Amazon Simple Storage Service (Amazon S3) bucket. The Amazon Titan Text Express model will then generate the evaluation response based on the provided prompt instructions, adhering to the specified format and guidelines.

Education 103
article thumbnail

Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

The workflow includes the following steps: Documents (owner manuals) are uploaded to an Amazon Simple Storage Service (Amazon S3) bucket. Role □ Actions □ Guidelines □ Guardrails The agent has two main components: Action group – An action group named CarpartsApi is created, and the actions it can perform are defined using an OpenAPI schema.

Lambda 127
article thumbnail

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud.

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. Traditionally, documents from portals, email, or scans are stored in Amazon Simple Storage Service (Amazon S3) , requiring custom logic to split multi-document packages.

Data 112
article thumbnail

Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning - AI

In this post, we seek to address this growing need by offering clear, actionable guidelines and best practices on when to use each approach, helping you make informed decisions that align with your unique requirements and objectives. Check out the Generative AI Innovation Center for our latest work and customer success stories.