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.

*McKinsey, Gartner

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

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. Tap into our 3-fold data approach and real-world experience to unify your data landscape and build a solid, performant data foundation.

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

Insurer Streamlines Underwriting with AI & Automation

An insurance company struggled to manually process and validate large volumes of applications and supporting documents. Quality checks were cumbersome, and risk assessment fragmented across systems, hindering efficiency and insights.

By automating document processing, they significantly reduced manual effort and improved efficiency. ML models enabled real-time risk scores and faster underwriting decisions, while an underwriting dashboard provided valuable portfolio insights.

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.

Interested in achieving similar results?

CONNECT WITH US