AI is rapidly transforming businesses across Europe, the Middle East, and Africa (EMEA), unlocking innovation and potential in vital areas from retail personalisation to medical research. But Irish organisations in particular are feeling both the excitement and the strain. Many businesses find their AI ambitions stalling – as no one expected they’d need to support AI workloads when designing their infrastructure strategy. Colin Boyd, Data Centre Solutions Sales Director, Dell Technologies Ireland tells us more
The investment momentum is strong. Projections show the AI market in Europe alone is experiencing robust growth, projected to expand from approximately $105B in 2024 to over $640B by 2031, at a CAGR of 35% (Statista). But in Ireland the legacy systems remain one of the biggest barriers to progress with almost 28% of businesses saying their servers need upgrading to support AI workloads and 34% saying the same for their storage systems, according to Dell Technologies Innovation Catalyst Study. And as data volumes surge, 97% organisations that are planning to increase their storage capacity expect to face challenges of some sort when doing so, underscoring the scale of the infrastructure gap.
To truly unlock AI’s potential, leaders must first look inward and assess if their infrastructure is a launchpad for innovation or a barrier to progress. Here are five indicators that your infrastructure might be holding you back.
- Data Access is a Bottleneck, Not an Enabler
AI models are fueled by data. The more high-quality data they can process, the more accurate and insightful they become. However, many local businesses still struggle with fragmented or slow-moving data. If data scientists spend more time waiting for datasets to load than they do building models, that is a problem. Legacy storage systems often struggle to deliver the high-speed, parallel throughput required for training complex algorithms.
The challenge is further amplified by Ireland’s strict regulatory environment as seen 40% of the organisations say they face challenges when it comes to meeting regulatory data requirements when it comes increasing storage capacity and 37% cite data security and privacy concerns as barriers when planning to scale their storage infrastructure.
The need for strong data management in the EMEA region is further amplified by stringent regulatory requirements. Regulations like the General Data Protection Regulation (GDPR) in Europe set high standards for data privacy, consent, and localisation. Businesses need to ensure that data used for AI is not only accessible and timely but also managed and transferred in compliance with these legal mandates.
Consider a financial institution in London aiming to use AI for fraud detection. Real-time analysis is essential, but a fragmented or slow data landscape not only risks missed threats but can also lead to breaches of privacy mandates. Modern, compliant data platforms help unify, streamline, and accelerate access – enabling safe, rapid innovation, while meeting the complex requirements for privacy and governance.
- Scaling Server Infrastructure for the Next Wave of AI
Running AI in production is still a highly-compute intensive challenge for most businesses. While few enterprises are training large language models from scratch, many are deploying AI to support real-time decision making, analytics, computer vision, and increasingly autonomous workflows alongside existing business applications.
Almost 28% of Irish organisations say their servers need upgrading to support AI workloads, as it places sustained pressure on server infrastructure, particularly when general-purpose servers are already operating close to capacity. When AI inference, data processing and core applications compete for the same resources, performance suffers and the value of AI is harder to realise. Purpose built infrastructure, including accelerated compute, helps businesses support these mixed workloads efficiently while maintaining reliability and predictable performance.
- The Network Is a Traffic Jam
AI doesn’t just demand powerful computing and storage; it also requires a robust network to move massive datasets between storage, processing units, and end-users. But many businesses are discovering that their networks weren’t designed for this level of throughput. A slow or unreliable network can create significant bottlenecks, effectively starving your powerful AI processors of the data they need to function. Signs include long data transfer times, network congestion during peak processing hours, and dropped connections that can interrupt critical training jobs.
A slow network means a frustratingly delayed user experience, which can directly impact on customer satisfaction and retention. A growing number of Irish businesses recognise that improving data transfer speeds is essential to support AI tasks. A high-speed, low-latency network fabric is essential to ensure a smooth, continuous flow of data, enabling your AI applications to perform as intended.
- Deployment and Management Are Overly Complex
Getting an AI model from the lab to a live production environment should be a streamlined process. However, many businesses find themselves entangled in complexity. If your IT team struggles to provision resources, manage software dependencies, and scale applications, your infrastructure is creating unnecessary friction. A rigid, manually configured environment makes it difficult to experiment, iterate, and deploy AI models efficiently.
The challenge is compounded by skills gap and operational pressures. 34% of Irish organisations cite a lack of in-house expertise as a key barrier to managing growing data and infrastructure demands.
Lack of agility can be a significant disadvantage. Businesses across the EMEA region are looking to AI for a competitive edge, and speed to market is critical.
Modern infrastructure simplifies this journey with integrated software stacks and automation tools. This approach empowers teams to deploy AI applications quickly, manage them with ease, and scale them on demand, fostering a culture of rapid innovation.
- No Clear Path to Scale
While an organisation’s first AI project may start small, the infrastructure should be ready for what comes next. A critical sign of an unprepared system is the absence of a clear, cost-effective strategy for scaling your AI capabilities. If expanding the AI environment requires a complete and costly overhaul, the initial success will be difficult to replicate and these challenges are already being felt across businesses, with 40 % reporting difficulties when ensuring infrastructure scalability, while 37% cite high cost of expanding data storage as one of the key obstacles.
Infrastructure built on a scalable, modular architecture allows businesses to grow AI resources incrementally. This “pay-as-you-grow” model provides the flexibility to meet evolving demands without overinvesting, ensuring your AI journey is sustainable in the long term.
Building the Foundation for Progress
The journey to AI is not just about algorithms and data; it’s about building a powerful and agile foundation. By addressing these five signs, businesses in Ireland can move beyond the limitations of legacy systems. Investing in modern, purpose-built infrastructure is an investment in your future. It empowers your teams, simplifies complexity, and creates the conditions for AI to deliver on its promise of driving meaningful progress and creating new opportunities.
As organisations look to advance their AI ambitions, understanding how to modernise infrastructure becomes essential. The same principles that drive transformation – strengthening core systems, managing data securely and scaling AI workloads with confidence will be at the heart of the conversation at Dell Technologies Innovate. Bringing together industry experts and technology leaders, the event will explore how organisations can build resilient, AI‑ready environments while maintaining security, compliance, and performance.
For organisations looking to take the next step in their AI journey, understanding how to modernise infrastructure will be key.
Join us at Irish Museum of Modern Art on 26th March to dive deeper into these strategies and chart a clear path forward. For more information and to register, click here.
