People are seeking more and more data to fill ever-growing complex AI models , models , which are currently revolutionising businesses crosssector through the likes of GenAI trailblazer ChatGPT .

But what is the fuel propelling this revolution ? Data ! Like the Wizard of Oz working behind the curtain , data is being taken in , meticulously processed , and then refined , to feed the insatiable appetites of AI models .

Yet , the art of data processing often goes unnoticed , overshadowed by the dazzling achievements of AI itself . But , for many working behind the curtain , this is bringing a looming problem .

For businesses , it ’ s a financial one , for users of the system , it can result in a poor quality output .

DETAILS OF DATA PROCESSING Data processing is the bridge between the digital world and the insights we seek to uncover . It takes the raw , data generated and transforms it into a format that AI systems can understand and utilise in tasks , like machine learning , where models learn patterns and make predictions , or natural language processing , where AI systems understand and generate human language .

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