TRENDING
Key takeaways
• Generative AI not only recognises but generates new patterns , making software developers more productive .
• Artificial Intelligence is nourished by data and its storage , security and accessibility are crucial for analyses .
• More data beats smart algorithms , but better data beats more data .
• Companies must manage multiple versions of their models and keep them up to date with the most recent data sets .
• Enterprises require a free flow of data , regardless of whether it is the organisation ’ s own data or sets used to improve AI systems .
• We are talking about a considerable volume of data , dispersed , unstructured and requiring protection .
• Complex technologies and organisational silos are the main obstacles to launching AI projects .
• Ensure alignment between data and the AI organisation .
• Different functions in each organisation must collaborate as one team to accelerate the impact of AI .
• Generative AI provides an engine to extract value from the fastest growing part of data , which is unstructured data .
• Each organisation needs an updated view of its unstructured data landscape and relevant applications .
• To prepare for AI , businesses cannot forget to integrate their workloads and data with an intelligent multicloud hybrid infrastructure .
• Volume , type , velocity of data is growing , and with massive amounts of data to process , simplicity and integration are crucial .
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 .
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 cannot 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 is to strengthen data security and governance . With every great power comes great responsibility and this is especially 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 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 IT market leaders awake at night , not out of concern , but because it has transformed 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
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