TRENDING
• support the necessary requirements including security, data integrity and resilience. Emerging GenAI applications are no exception to this rule. Almost all respondents( 98 %) face challenges when it comes to scaling GenAI workloads from development to production. In fact, the # 1 challenge organisations face when scaling GenAI workloads from development into production is integration with existing IT infrastructure. As a result, IT Infrastructure was chosen as the # 1 area of investment needed to support GenAI.
• GenAI solution adoption requires changes to technology and people. 52 % of respondents say their organisation needs to invest in IT training to support GenAI. Similarly, 48 % of respondents believe their organisation needs to hire new IT talent to support GenAI. There is no denying organisations face acute skills shortages and competition for GenAI-related talent. The good news? Many teams will embrace the challenge to adopt AI-related competencies and skills organically, as part of normal work. This year’ s survey shows that 53 % of respondents believe advancements in GenAI will provide them with an opportunity to become an AI expert.
For the seventh consecutive year, Nutanix commissioned a global research study to learn about the state of global enterprise cloud deployments, application containerisation trends and GenAI application adoption. In the Fall of 2024, UK researcher Vanson Bourne surveyed 1,500 IT and DevOps / Platform Engineering decision-makers around the world.
The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa( EMEA); and Asia-Pacific-Japan( APJ) region. p
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