INTELLIGENT BRANDS // Cloud

Elena Viniegra , Cloud Director EEMI región , NetApp , says an intelligent data infrastructure , more dynamic , more seamless and with higher performance than ever before , is key for enterprise businesses .

To offer better digital experiences , customers must adapt to the current pace of innovation and utilise high-capacity data processing and intelligent storage that can grow in size and time .

The demand for more product innovation , productivity and AI application development that offers better experiences to consumers is driving business creativity . For this , it is crucial to have AI with a robust infrastructure capable of storing data , both locally and in the cloud , at the Edge , in hybrid or multicloud environments .

Customers are looking for technological partners that guarantee unique and unified data governance and management , as well as intelligent storage solutions that allow seamless and guaranteed data movement across all customer environments because of the risk of losing information or encountering security breaches when switching data .

Today , generative AI already allows users to make requests using natural language and AI interprets and generates information , whether it can be text , articles , code , music , video , voice , visual effects , 3D designs , engineering analysis . . . an endless array of possibilities that utilise Machine Learning models ( ML ).

Large Language Models ( LLMs ) could be an example of generative AI solutions , which are highly efficient natural language processing models for tasks related to language , from text generation to language comprehension and translation .

The process of reading and processing data countless times , from where it is stored to memory , is necessary for these models to foster and promote intelligence . In the coming years , the need to manage massive volumes of data will continue to grow and that is where the technology of a good technology partner becomes crucial .

It is important that they provide solutions with high storage capacity and AI management to facilitate Deep Learning from data , as well as the ability to transport data smoothly and efficiently between different storage environments , even in real-time .

The technology from leading storage vendors makes it easier for AI to access a large amount of diverse data , which is allocated in various repository locations , using highperformance workloads .

Elena Viniegra , Cloud Director EEMI región , NetApp

Thanks to this technology , customers will be able to generate immense data repositories , both in all-flash or public cloud environments , as well as hybrid or edge locations . We are talking about enabling simultaneous access to multiple AI models , even in production environments , which can represent a substantial change for the business model of many companies . Research analyst firms like McKinsey state that : “ The impact of generative AI on productivity could mean trillions of dollars for the global economy .”

Therefore , customers embracing AI developments for their business must-have storage technology that not only guarantees workload execution in secure and highperformance infrastructures , but also offers scalable and diverse environments , allowing customers to work with any public cloud provider , access any data repository wherever it is and manage these hybrid and multi-cloud environments in a simple , easy and secure manner . This flexibility and scalability make NetApp ’ s offering the best choice for Artificial Intelligence developments . �

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