FINAL WORD
César Cernuda , Global President of NetApp
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
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 are growing inexorably , and with massive amounts of data to process , simplicity and integration are crucial .
The last thing , and not least , is to strengthen data security and governance . With every great power comes great responsibility and this is especially
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 ,
Artificial Intelligence is nourished by data and , therefore , its storage , security and accessibility are crucial for the analyses provided by AI .
companies have invested in tools to extract value from structured data . Generative AI , however , provides a powerful engine to extract value from the fastestgrowing part of data today , which is unstructured data . relevant in the case of AI , where private data is much more valuable , but can also be a source of errors , biases or inaccuracies in the models , which is why they must protect and govern .
Ultimately , when an organisation invests in optimising its data engine , it is building a solid foundation to unleash the full potential of Artificial Intelligence in a responsible , secure and accessible way . Over the past year , AI has kept many of us IT market leaders awake at night , not out of concern , but because it has transformed our reality with its potential to reshape industries and redefine human experiences .
Despite the enthusiasm for technology , we must face real challenges in this area , such as bias , transparency and control . And our focus , going forward , must go beyond pushing technical limits , harmonising the transformative capabilities of AI with human ingenuity , ethical considerations and a clear vision of the future we want to build . p
78 INTELLIGENTCIO EUROPE www . intelligentcio . com