EDITOR ’ S QUESTION
WALID ISSA , SENIOR MANAGER , PRE-SALES AND SOLUTIONS
ENGINEERING , MENA AND EAST EUROPE , NETAPP
Artificial intelligence demands data that relies on an intelligent data infrastructure .
For regional enterprises embarking on their digital transformation and AI journey , adopting best practices for data architecture and storage systems is crucial to ensure efficiency , scalability and resilience .
AI will create a lot of potentials that will accelerate innovation , revolutionise operations , and deliver superior solutions that will impact the way we do business . However , there will be challenges as the foundation of AI information which is data , and data is everywhere , at the edge , on premises , inside apps , and in multiple public clouds .
Therefore many enterprises end up dealing with Silos and bottlenecks that hold data back and hence causes challenges to manage and use this various data and data types . In addition , this Data is constantly under threat and therefore enterprises need robust data management to keep models , data , and usage safe .
Artificial intelligence demands data that relies on an intelligent data infrastructure . Regional enterprises need to take a unified approach to data and build an intelligent data infrastructure that breaks down these silos . They need to build their AI data infrastructure and solutions to enable performance , productivity , and protection for their data and their AI anywhere .
And with more enterprises considering Generative AI , and the associated extreme scale and massive datasets involved with large language models , LLMs , it is crucial to architect a robust AI infrastructure that takes advantage of data storage features onpremises , hybrid and multicloud deployment options and reduce risks associated with data mobility , data protection and governance before companies can design AI solutions .
They would need a strong foundation which is the right intelligent data infrastructure to meet the complexities created by rapid data growth , data mobility , multi-cloud management , and the adoption of AI without compromising on the ability to expand while maintaining cost-efficiency , data governance and ethical AI practices in control .
At NetApp can help regional enterprises build an intelligent data infrastructure that shatters silos , optimizes AI and GenAI , and delivers agility for a rapidly changing landscape . Our unified approach to infrastructure and data management enables performance , productivity , and protection everywhere with turnkey solutions that accelerate time to results .
All of that is coupled with deep technological partnerships with AI leaders like NVIDIA , where NetApp is delivering certified , AI turnkey solutions . NetApp ’ s family of AI-focused products continues to evolve to meet customer needs , and we are excited to share and partner with regional enterprises on this journey .
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