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their organisation benefits from adopting cloud native applications / containers. This approach to infrastructure and application development should be considered the gold standard for delivering seamless, secure access to data across hybrid and multicloud environments.
• GenAI application adoption and implementation continue at a rapid pace: Over 80 % of organisations have already implemented a GenAI strategy with only 2 % of organisations admitting that they have not started planning their GenAI strategy. That said, implementation targets vary significantly. Most organisations believe GenAI solutions will help improve their organisation’ s levels of productivity, automation, and efficiency. Meanwhile, real-world GenAI use cases gravitate towards customer support and experience solutions today. However, organisations aspire to apply GenAI solutions to cybersecurity and data protection workloads in the near future.
• GenAI adoption will challenge traditional norms for data security and privacy: 95 % of respondents agree that GenAI is changing their organisation’ s priorities, with security and privacy being a primary concern. Over 90 % of organisations say data privacy is a priority for their organisation when implementing GenAI solutions. Clearly, organisations understand that security and privacy are critical components of GenAI success. However, a staggering 95 % of respondents still believe their organisation could be doing more to secure its GenAI models and applications. Security and privacy will remain a major challenge for organisations as they seek to justify the use of emerging, GenAI-based solutions and ensure that they adhere to traditional security norms, as well as new requirements for data governance, privacy, and visibility.
• Infrastructure modernisation to support GenAI at scale: Running cloud native applications at enterprise scale requires an infrastructure that can 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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