AI Technologies Propel Data and Infrastructure Modernization Era

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Nutanix, a pioneering force in hybrid multicloud computing, has unveiled the Nutanix State of Enterprise AI Report, a comprehensive global research initiative shedding light on the decision-making processes within enterprises concerning AI. This report offers a holistic perspective on how enterprises are formulating strategies and adopting AI technology, and it delves into the potential impact of future plans on IT spending and budgeting.

Sammy Zoghlami, SVP EMEA at Nutanix, remarked, “In just one year, Generative Artificial Intelligence (genAI) has completely revolutionized our perception of how technology will shape our lives, prompting enterprises to explore its potential benefits.” While many organizations are still in the early stages of evaluating the possibilities, the State of Enterprise AI report confirms that the majority view it as a priority. Notably, the survey highlights a crucial trend among enterprises adopting AI solutions: an increasing demand for data governance and data mobility across data center, cloud, and edge infrastructure, underscoring the importance for organizations to adopt a platform capable of running all applications and data seamlessly across various clouds.

Key findings specific to the EMEA region include:

  • EMEA organizations express a strong intent to adopt AI solutions but face challenges due to a generative AI skills gap. 90% of EMEA respondents indicate that AI is a priority for their organizations. The top two AI solutions currently deployed by EMEA organizations include virtual assistants/customer support bots and a mix of generative AI solutions. However, challenges arise in the implementation phase, with EMEA respondents citing a lack of generative AI and prompt engineering skills. Additionally, they express a need for more data scientists and data science skills to support their AI initiatives.
  • AI data security, scalability, and management emerge as top challenges for EMEA organizations. Over 90% of EMEA respondents emphasize the importance of security, reliability, and disaster recovery in their AI strategy. Managing and supporting AI workloads at scale is identified as the top challenge for EMEA organizations in the next one to two years, surpassing concerns in any other region. More than half of EMEA organizations indicate that AI data governance requirements will drive a better understanding and tracking of data sources, age, and other data qualities. Success in EMEA AI initiatives hinges on addressing challenges related to data security, workload scale, and data visibility/management.
  • Infrastructure modernization and data security take precedence in EMEA AI decision-making, with cost ranking lower. Cost is identified as the third-lowest consideration for EMEA organizations running or planning to run AI workloads. When exploring the key drivers behind upgrades for AI applications or infrastructure, EMEA respondents consistently rank “cost” as the lowest priority. In contrast, over 90% of EMEA respondents anticipate increases in both IT costs and cloud spending due to AI applications, signaling a willingness to invest in support of their AI initiatives.

The report, based on a global research study conducted by Vanson Bourne on behalf of Nutanix, surveyed 650 IT, DevOps, and Platform Engineering decision-makers between July and September 2023. The respondents represented diverse industries, business sizes, and geographies, including the Americas, Europe, Middle East, and Africa (EMEA), and the Asia-Pacific-Japan (APJ) region. For more in-depth insights, you can explore the complete Nutanix State of Enterprise AI Report [link].

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