Build a Robust GenAI-Ready Data Foundation on AWS

75%

enterprises think GenAI will
bring disruptive change in their
industries

but

30%

of GenAI projects will be dropped by 2026
due to poor data quality, high costs or
unclear business value*

GenAI has tremendous business
potential but only if your data allows it.

Don't let data silos, quality issues, or the sheer volume of your enterprise data hold your business back. Fuel your GenAI applications and drive AI-powered innovation with a well-governed, resilient modern data foundation on AWS from Cloud Kinetics.

*Gartner, Forbes

Modernize your data for the GenAI age with
AWS and Cloud Kinetics

Tap into our 3-fold data approach and real-world experience to unify your data landscape and build a solid, performant data foundation. As a premier partner of AWS and specialists in other open source technologies, we harness best-of-breed solutions to enhance your AI, ML and GenAI capabilities and drive customized data experiences.

Your 3-point blueprint for GenAI success

1. Build a resilient modern data foundation

Data
Sourcing

Data
Management

Data
Governance

Modern
Data Foundation

BI & Analytics

AI/ML

Data Sharing

GenAI Applications

2. Make the right GenAI technology & model choices

3. Accelerate GenAI implementation with the right tools & frameworks

Create a highly durable and scalable cloud-based repository for your GenAI data

Robust Storage
with Amazon S3

Leverage vector search capabilities for advanced vector embeddings & semantic queries

Enhanced Search
with Amazon
OpenSearch

Streamline ops & accelerate GenAI dev with low-latency, flexible data management

Optimized NoSQL
Management with
Amazon DynamoDB

Access pre-trained foundation models & build custom AI apps more efficiently

Foundation Models
with Amazon Bedrock

Customer impact stories

A Strong Data Foundation, Analytics & AI
Fuel Growth For A Health Fintech

A centralized data platform built on AWS and Snowflake enabled the customer to break down data silos, streamline data access and unlock actionable insights.

With a holistic view of their data, they can now identify trends, refine cost-containment strategies and make data-driven decisions to improve payor management and revenue.

Breaking Down Data Silos: A Success Story In Energy & Utilities

A leading energy & utilities company struggled to manage asset performance data scattered across multiple systems.

By implementing a centralized data warehouse and leveraging advanced analytics tools, they streamlined data access, reduced manual effort and gained valuable insights to optimize operations and expand their market reach.

Insurer Streamlines Underwriting with AI & Automation

Manually processing applications in disparate formats was a challenge for an insurance company. Quality checks were cumbersome and risk assessment fragmented.

Automating document processing significantly reduced manual effort and improved efficiency. Machine learning models provided real-time risk scores, enabling faster underwriting decisions, while underwriting dashboards gave valuable insight into their overall portfolio.

Interested in achieving similar results?

CONNECT WITH US