Mexico. AI, modern applications, and data growth are driving the modernization of IT infrastructures. Modern applications that require up-to-date infrastructure are not new, and data growth has skyrocketed year on year, but adding AI, and especially generative AI (GenAI), to the mix only further underscores existing trends.
In fact, according to the ECI report commissioned by Nutanix, 85% of organizations plan to increase investments in IT modernization specifically to support AI, especially generative AI.
2023 brought enterprise AI into the spotlight, but organizations are only just beginning to adopt generative AI solutions: they're identifying the right workloads and use cases, determining the best option, and calculating budget implications. The adoption of AI solutions is set to change IT priorities: 90% of organizations believe that strengthening their edge strategy (processing data in remote locations) will be a major priority for their organization in 2024 and 72% of organizations say they plan to increase investment in their edge strategy throughout 2024.
A comprehensive AI strategy includes deploying and managing AI assets from the cloud to the edge. As the adoption of AI solutions accelerates, IT leaders may feel a greater sense of urgency regarding the deployment of edge infrastructure to support faster processing and access to data for real-time processing. That's where IT modernization and edge infrastructure deployments come in, as these investments can facilitate faster processing and access to data.
If designed and implemented correctly, these investments will provide organizations with the ability to connect and manage the wide range of data they hold (93% of respondents said it was important to improve visibility into where their data resides). Data is the key intellectual property of companies. Data management solutions could play an important role: 49% said linking data from multiple environments was one of the biggest challenges facing their organization, while 47% of respondents pointed to a lack of visibility into where data resides as a key data management challenge.
These visibility and data management challenges will only be exacerbated by increasingly complex AI and analytics deployments, and they should be the top areas that companies focus on for continuous improvement in their AI adoption journey.
Nutanix respondents identified increased investment to support their organization's AI strategy as their No. 1 priority, followed closely by investment in IT modernization. There's a good reason for that: 37% indicated that running AI applications on their current IT infrastructure would pose a significant challenge.
More than a third (35%) stated that the ability to support AI was the main driver of their choice of infrastructure and slightly more (37%) stated that running AI applications was the main challenge they needed to address with their current IT infrastructure.
IT leaders need to take matters into their own hands, using the adoption of AI technology that catalyzes a new wave of IT infrastructure modernization requirements as an opportunity to ensure that their organization's AI, ML, analytics, and data growth initiatives are aligned with infrastructure realities.
Text written by Julio César Castrejón, Country Manager of Nutanix Mexico.
