Data Forest logo
Home page  /  Services  /  Data Science  /  AI Integration  /  
Revolutionizing Data Processing: Cloud & Edge AI Solutions

Revolutionizing Data Processing: Cloud & Edge AI Solutions

Is your business experiencing inefficiency in processing data due to its distance from the source? Our solution processes data closer to where it is generated.



The traditional cloud computing model often fails to provide low latency and real-time data processing due to the physical distance between data sources and cloud data centers.


Raspberry Pi for local data processing, cloud platforms like AWS and Azure for scalable computing resources, and machine learning frameworks like TensorFlow and PyTorch for AI model development.


It reduces latency, improves operational efficiency, and makes real-time decisions, improving competitiveness and customer satisfaction.

Manufacturing company

A US-based manufacturing company used this solution to monitor and control its production line in real time, reducing downtime by 20%.

Example 1 of 3
example icon

Logistics company

A European logistics company implemented it for real-time tracking and routing of its fleet, improving delivery times by 30%.

Example 2 of 3
example icon

Smart city

A smart city used it for real-time traffic management, resulting in a 40% improvement in traffic flow.

Example 3 of 3
example icon

Let’s discuss your project

Share the project details – like scope, mockups, or business challenges.
We will carefully check and get back to you with the next steps.

DataForest, Head of Sales Department
DataForest worker
DataForest company founder
top arrow icon
Contact us to discuss
your project goals.