A study from Nutanix has revealed that GenAI is changing organisations’ priorities, with security and privacy being a primary concern.
The recent findings of its seventh annual Enterprise Cloud Index (ECI) survey and research report, which measures global enterprise progress with cloud adoption, 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.
As GenAI application adoption and implementation move at a fast pace, the ECI uncovered that while many organisations have already implemented a GenAI strategy, implementation targets vary significantly.
Companies are keen to use 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 nearly two thirds expect to make a ROI from GenAI projects over the next two to three years.
Lee Caswell, SVP, Product and Solutions Marketing at Nutanix explained: “Many organisations have reached an inflection point with GenAI implementation and deployment, and key trends that we’re hearing from customers include 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,” he said.
Key findings from this year’s report show that application containerisation is the new infrastructure standard – over 90% agree that adopting cloud native applications is a gold standard for delivering seamless, secure access to data across hybrid and multicloud environment; while GenAI application adoption and implementation continue at a rapid pace, and many believe GenAI solutions will help improve productivity, automation, and efficiency.
Other key findings include the views that 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, using emerging, GenAI-based solutions to ensure that they adhere to traditional security norms.
The report also shows that infrastructure modernisation is key to support GenAI at scale, and the main challenge when scaling GenAI workloads from development into production is integration with existing IT infrastructure - as a result, IT Infrastructure is the key area of investment needed to support GenAI.
Finally, GenAI solution adoption requires changes to technology and people, and more than half of respondents say investment in IT training to support GenAI is important, and believe advancements in GenAI will provide them with an opportunity to become an AI expert.
