Intelligent CIO Middle East Issue 105 | Page 26

TRENDING
And all this mountain of possibilities is made of a single material : data .
Yes , Artificial Intelligence is nourished by data and , therefore , its storage , security and accessibility are crucial for the analyses provided by AI . Eminent computer scientist Peter Norvig summed it up elegantly : More data beats smart algorithms , but better data beats more data .
César Cernuda , Global President , NetApp
Even better , generative AI not only recognises but generates new patterns , making software developers
more productive , content creators delivering even more immersive experiences to their audiences , and customers , employees , citizens , and students finding the information they need in a much easier way .
With every great power comes great responsibility and this is especially relevant in the case of AI .
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 .
To put their data to work , companies must manage multiple versions of their models and keep them up to 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 .
Complex technologies and organisational silos are the main obstacles to launching AI projects .
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