FINAL WORD
Data integration , performance and trust needs
To put their data ‘ to work ’, companies must manage multiple versions of their models and keep them upto-date with the most recent data sets . This requires a free flow of data , regardless of whether it is the organisation ’ s own data or other relevant sets used to improve AI systems . And this is not as easy as turning on a tap , since we are talking about a considerable and incessant volume of data , with data dispersed , unstructured and requiring protection . scientist Peter Norvig summed it up elegantly : “ More data beats smart algorithms , but better data beats more data .” In this way , Generative AI deployment projects will only reach as far as the quality of the data that feeds them reaches . And , as AI evolves and becomes an integral part of businesses , the importance of an intelligent data infrastructure becomes paramount .
Complex technologies and organisational silos are the main obstacles to launching AI projects . Therefore ,
The potential of AI for business is unquestionable .
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