What an AWS Services Tier Partner Does for Your Business
What partner status means, what to check before you hire a cloud partner, and how one supports you from migration to everyday operations.
Read articleGenerative AI & Data Analytics
Turn your data into answers with AI and analytics on AWS.
AI is only as useful as the data behind it. We help you organize your data on AWS, then build practical solutions such as assistants that search your own documents, automated analysis and dashboards your teams will actually use.
We start with a clear use case and a small proof of concept, so you can see value early and decide how far to take it, with security and cost controls in place from the beginning.
What is included
- Use case discovery and proof of concept
- Generative AI with Amazon Bedrock
- Retrieval-augmented search over your documents
- Data lake and data warehouse design
- Machine learning pipelines
- Dashboards and reporting
AWS tools we use
- Amazon Bedrock
- Amazon SageMaker
- Amazon S3
- Amazon Redshift
- Amazon QuickSight
How it works
Our approach to generative ai & data analytics
- 1
Discover
Choose a use case with clear business value and available data.
- 2
Prepare
Organize, secure and catalog the data the solution needs.
- 3
Build
Deliver a working proof of concept and measure the results.
- 4
Scale
Harden, monitor and roll it out with cost controls.
Frequently asked questions
Questions about generative ai & data analytics
More answers are in our full FAQ, or ask our team directly.
With one use case that has clear value and good data. We build a small proof of concept first so you can judge the results before investing more.
Yes. We design the solution so your data stays in your AWS account, with access controls and encryption in place.
Not always. Some use cases work on existing documents, while others need a data lake or warehouse. We tell you which after a short review.
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