THE POTENTIAL OF AI FOR BUSINESS IS UNQUESTIONABLE .
F E A T U R E
THE POTENTIAL OF AI FOR BUSINESS IS UNQUESTIONABLE .
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 . Therefore , if they want to advance in this area , organisations must equip themselves with a modern , intelligent and integrated cloud data infrastructure that provides them with the most complete , powerful and sustainable solutions , without information silos .
Any company , large or small , looking to optimise its data engine to reap the benefits of Generative AI must address four key issues . First , ensure alignment between your data and your AI organisation . Many companies today have data analysts and engineers with a deep understanding of data , data scientists who can apply modern analytics tools , and business analysts who understand how to use data and AI recommendations to drive business results . But these different functions in each organisation must collaborate as one team to accelerate the impact of AI .
The second fundamental aspect would be the analysis and consolidation of unstructured data . For years , companies have invested in tools to extract value from structured data . Generative AI , however , provides a powerful engine to extract value from the fastest-growing part of data today , which is unstructured data . Therefore , each organisation needs an updated view of its unstructured data landscape and its relevant applications , to be ready to use it with AI applications .
To prepare for AI , businesses also can ’ t forget to integrate their workloads and data with an intelligent multi-cloud hybrid infrastructure . The volume , types and velocity of data
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