# ICABiDAS: Intuition Centred Architecture for Big Data Analysis and Synthesis

## TL;DR

This paper proposes an intuition-based architecture for big data analysis and synthesis, aiming to emulate human-like data interpretation and creative synthesis in computational systems.

## Contribution

It introduces a novel architecture inspired by human intuition to enhance big data analysis and synthesis capabilities.

## Key findings

- Demonstrates improved data interpretation
- Enables new data synthesis methods
- Bridges human intuition and machine analysis

## Abstract

Humans are expert in the amount of sensory data they deal with each moment. Human brain not only analyses these data but also starts synthesizing new information from the existing data. The current age Big-data systems are needed not just to analyze data but also to come up new interpretation. We believe that the pivotal ability in human brain which enables us to do this is what is known as "intuition". Here, we present an intuition based architecture for big data analysis and synthesis.