Nutanix, a pioneer in hybrid multi-cloud computing announced the findings of its seventh annual Enterprise Cloud Index (ECI) survey and research report, which measures global enterprise progress with cloud adoption.
The report sheds light on Generative Artificial Intelligence (GenAI) adoption, investment priorities, and benefits along with key challenges organisations face to meet the demands of these emerging workloads.
GenAI application adoption
As GenAI application adoption and implementation move at a blazing pace, the ECI uncovered that while the majority of organisations have already implemented a GenAI strategy, implementation targets vary significantly. Organisations are eager to leverage GenAI for productivity, automation, and innovation, but they also face critical hurdles in the form of data security, compliance, and IT infrastructure modernisation.
Further, 90% of respondents expect their IT costs to rise due to GenAI and modern application implementation. But promisingly, 70% of organisations expect to make a return on their investment from GenAI projects over the next two to three years.
Data governance, privacy, and visibility
“Many organisations have reached an inflection point with GenAI implementation and deployment,” said Lee Caswell, SVP, Product and Solutions Marketing at Nutanix.
“This year’s ECI revealed key trends that we’re hearing from customers as well, including challenges with scaling GenAI workloads from development to production, new requirements GenAI creates for data governance, privacy, and visibility, and integration with existing IT infrastructure. To successfully unlock ROI with GenAI projects, organisations need to take a holistic approach to modernising applications and infrastructure and embrace containerisation.”
Key findings
- Application containerisation is the new infrastructure standard. Nearly 90% of organisations report that at least some of their applications are now containerised, and this number is expected to grow with the rapid adoption of new application workloads like GenAI. Simply put, 94% of respondents agree that 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. The survey shows that 53% of respondents believe advancements in GenAI will provide them with an opportunity to become an AI expert.
Global research study
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, U.K. 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.
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