Dell Technologies introduces the Dell PowerEdge XR9700 server, a first of its kind closed-loop liquid-cooled, fully-enclosed, ruggedized server engineered to run Cloud RAN and edge AI workloads in unprotected outdoor environments. Designed to mount on utility poles, rooftops and building exteriors, the PowerEdge XR9700 brings high performance computing into dense urban areas, remote locations, and space-constrained facilities where traditional data center infrastructure cannot reach.
Why it matters
Telecommunications operators and those working at the edge often struggle to deploy compute due to lack of power and space. The PowerEdge XR9700 solves this, delivering high performance compute directly at the point of need in an ultra-compact, zero-footprint IP66-rated enclosure that’s sealed from the elements. For telecommunications operators, it provides a flexible, software-defined alternative to traditional RAN solutions, supporting Cloud RAN and Open RAN processing at the cell site. At the same time, the platform can run edge and AI applications directly where data is created and consumed.
Built for Extreme Conditions
Designed to withstand the harshest environments, this platform’s ultra-compact IP66-rated enclosure and GR-3108 Class 4 certification delivers reliable, quiet performance in environments exposed to extreme temperatures, dust and moisture. Closed-loop liquid cooling with a thermal management architecture maintains consistent operation across a temperature range of -40°C to 46°C (-40°F to 115°F) and withstands direct solar radiation, all in a compact 15-liter form factor suitable for mounting on utility poles, rooftops and building sides. This zero-footprint design brings telecom and edge workloads to locations where only traditional radio solutions could previously operate.
Performance that Scales
Powered by the Intel Xeon 6 SoC with integrated Intel vRAN Boost technology and Intel AMX technology, the PowerEdge XR9700 delivers the processing power and fronthaul connectivity to support up to 15 5G sectors in a single server. While optimized for Cloud RAN, the platform’s flexibility allows operators to run edge and AI workloads based on network architecture and service requirements.
As part of the Dell PowerEdge XR-Series, the XR9700 integrates with Dell’s existing management tools and software stack. Integrated Dell Remote Access Controller (iDRAC) provides remote visibility and control for zero-touch provisioning (ZTP), while compatibility with the same Cloud RAN software validated on the PowerEdge XR8720t simplifies certification and accelerates telecom deployments.
Andrew Vaz, vice president, Dell Technologies: “Operators and enterprises shouldn’t have to compromise when deploying compute in challenging environments. The Dell PowerEdge XR9700 brings Cloud RAN, Open RAN, and edge AI capabilities to places they’ve never been able to go before, opening up new possibilities for network expansion and edge applications.”
Availability
The Dell PowerEdge XR9700 will be globally available 2H CY 2026.
About Dell Technologies Dell Technologies (NYSE: DELL) helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry’s broadest and most innovative technology and services portfolio for the AI era.
Despite a modest overall dip in Valentine’s Day spending (-14%) last Saturday, several categories spiked as romantic consumers shifted their focus to luxury treats and quality time together.
Bank of Ireland’s debit and credit card spending data for the full day of February 14th versus Valentine’s Day last year shows strong increases across pubs, jewellery, hotels and restaurants. The data highlights that while shoppers spent less on traditional gifts such as flowers and cards, they were more willing to invest in a special night out.
Jewellery spending also surged by 51% on the day itself, suggesting that more people left things last-minute for gifts this year. Hospitality also benefitted this year. Pubs saw the most dramatic rise, up 51%, although this was likely a mixture of ‘romance and rugby’ with the Ireland versus Italy rugby game landing last Saturday too. Restaurant spending was up 22% compared to Valentine’s Day last year and hotel stays rose 11%, with a strong appetite for romantic dining and overnight stays.
While some traditional categories such as flowers, experiences and perfumes recorded declines, the data highlights a clear shift in consumer preference with less emphasis on single‑use gifts and more investment in shared enjoyment.
Gerardo Larios Rizo, Head of Hospitality Sector, Bank of Irelandsaid: “Our Valentine’s Day data shows that while overall spending was slightly softer, people were still determined to make the day special. Instead of splashing out on single‑use gifts, consumers shifted to special moments such as a romantic dinner, a hotel stay or even celebrating ‘romance and rugby’ in their local pub. While some romantics shopped ahead, the spike in jewellery sales on the day itself suggests a rush of last-minute panic-buying this year.”
Bank of Ireland card spending – Feb 14th 2026 versus Feb 14th 2025
In the pursuit of digital transformation, businesses often spotlight their cutting-edge applications, their multicloud strategies, or their latest AI models. Yet, behind each of these advancements lies a powerful, unseen engine: the enterprise storage platform. Ivor Buckley, Field CTO, Dell Technologies Ireland tells us more below
Once regarded as a back‑end system, enterprise storage has become a strategic platform that underpins innovation. As Irish organisations race to modernise services, comply with regulation and compete internationally, the way they store, protect, and govern data is turning into a fundamental differentiator.
Today’s IT leaders face a significant challenge. They must support an ever-expanding portfolio of workloads, from critical business databases to cloud-native applications and data-intensive AI projects. All this must be achieved within the constraints of tight budgets and limited staffing. The sheer volume of data being created and managed is staggering; global data generation is expected to reach 393.9 ZB by 2028 as per IDC. This explosion of information puts immense pressure on infrastructure that was not designed for this scale or complexity resulting in data foundations under strain
According to the latest Dell Innovation Catalyst Study, 48% of Irish organisations are prioritising data readiness for AI related workload, while 66% say they are still in their early or mid-stage of their AI/GenAI journey. This underscores a reality that organisations want to innovate but their data foundations and current storage systems are not fully equipped.
From Data Silo to Intelligent Hub
The perception of enterprise storage as a mere commodity is outdated. Modern platforms have become intelligent hubs that automate complex tasks and unlock new efficiencies. By integrating machine learning and advanced analytics, today’s storage systems can proactively optimise workload placement, predict performance bottlenecks before they occur, and simplify management tasks that once consumed countless hours.
This shift is relevant in Ireland, where businesses from multinationals to SMEs are accelerating digital transformation under the National AI Strategy. A study Dell undertook found that 96% of Irish organisations face challenges when it comes to identifying, preparing, and using data for AI/GenAI uses cases, with 40% struggle to integrate AI systems with existing IT infrastructure. Intelligent storage platforms directly address these pain points by reducing complexity and improving data accessibility without creating new data silos
For Irish businesses planning to expand their e-commerce operations and presence, a modern storage platform can intelligently prioritise these diverse workloads, ensuring that customer-facing applications remain responsive while they have high-speed access, they need to train their models that maintain the strategic initiatives that drive business growth.
Bridging Private Cloud and Multicloud for Seamless Innovation
In today’s digital landscape, businesses are increasingly faced with the decision to operate within a private cloud, adopt a multicloud environment, or find a balance between the two. Enterprise storage serves as the reliable backbone for these evolving strategies, delivering the infrastructure needed to provide both security and agility at scale.
For Irish businesses relying on private cloud infrastructure, enterprise storage provides robust data protection, predictable performance, and the confidence that sensitive information remains under their control. As organisations here in Ireland expand further into multicloud setup, seamless data mobility becomes essential not just for storing data but also for making it accessible and secure wherever it resides.
According to the Dell study, 46% of local organisations plan to modernise their IT with intelligent infrastructure, and another 46% aim to optimise workload placement across edge, core, and cloud environments.
The right storage platform is central to both goals: it can synchronise data across environments, break down silos and help ensure that everyday operations remain stable even as new services and AI projects come online.
This reflects a clear shift towards hybrid architecture, a trend mirrored in Ireland’s public-sector digital transformation and the country’s growing cloud smart enterprise landscape.
Crucially, enterprise storage also addresses security, and compliance demands unique to both private and multicloud models. By providing unified management and strong governance features, these platforms make it easier for businesses across Ireland to implement consistent security policies and adhere to regulatory requirements. The result is an IT environment that’s not only flexible and responsive but also protected, adhering to regulation and aligned with business goals.
Fuelling the Future of AI and Analytics
Perhaps the most significant driver of storage innovation today is AI. AI and machine learning workloads are incredibly data-hungry, requiring massive datasets to be fed to powerful processors without delay. A bottleneck in the storage layer can bring an entire AI initiative to a standstill.
Modern enterprise storage platforms are engineered to meet these demands, delivering the high throughput and low latency needed to fuel advanced analytics. A healthcare provider, for instance, might use AI to analyse medical images to detect diseases earlier. This process requires rapid access to petabytes of high-resolution image data. An intelligent storage system ensures that this data is readily available, accelerating the model training process and ultimately improving patient outcomes.
One of the most significant developments in this space is the emergence of the data lakehouse – a modern data architecture that blends the flexibility of a data lake with the performance and governance of a data warehouse.
Rather than forcing organisations to move and duplicate data repeatedly into different silos, a Data Lakehouse strategy is about bringing AI to the data. By minimising unnecessary data movement and providing a single point of access, it helps address some of the biggest blockers to AI projects: fragmented data, inconsistent governance, and slow time‑to‑insight.
Modern Enterprise Storage Has Become the Unseen Engine of Digital Innovation
The journey of enterprise storage reflects the broader story of technological progress. What was once a simple utility has become a strategic enabler for Cloud, AI and data-driven services, quietly powering the applications and insights that define modern business. By embracing automation, enabling seamless data mobility, and delivering the performance needed for next-generation workloads, enterprise storage has become the unseen engine of digital innovation.
Irish businesses are operating in one of Europe’s most dynamic digital economies and the opportunity is clear. Ireland’s National AI Strategy aims to see 75% of Irish enterprises using cloud, AI, and data analytics by 2030. To fully realise this potential, businesses must proactively evaluate, adopt, and integrate these advanced solutions into their Cloud Operating Model. This isn’t just about keeping up, it’s about unlocking new levels of efficiency, innovation, and competitiveness. By investing in vital storage infrastructure, businesses of all sizes can simplify data management, scale with confidence, and accelerate their AI journey for the next wave of AI-driven transformation.
Computer vision is powering everything across Ireland’s fast-growing tech ecosystem, from advanced manufacturing and smart retail to fintech security. Data annotation sits at the core of these intelligence systems. Keep reading to understand how Irish tech companies are improving accuracy and accelerating model training as AI-powered annotation systems become scalable and precise.
Data Annotation Trends in Irish Tech Companies
Many Irish tech companies in the early computer vision development relied on small teams, mostly in-house, to label videos and images manually. These processes were inconsistent, slow and expensive, especially during scaling or when datasets reach the millions. Now, companies are relying on AI-powered data annotation to reshape their workflow. By combining human validation with automated pre-labelling, providers like theoWorkers team offer support in handling large-scale datasets with great precision and speed. This is a hybrid approach that allows both established businesses and startups to train their vision models with great efficiency without compromising quality.
Data annotation plays an essential role in system training, since even the most sophisticated AI model is as accurate as the data it trains from. Irish companies are taking advantage of well-annotated datasets for different sectors like retail analytics, fintech, health tech and smart cities to power fraud prevention, facial recognition, predictive maintenance and object detection. AI-powered tools are gaining popularity since they reduce human errors, speed up turnaround and guarantee consistent labelling standards across different projects. Because of that, organisations can scale their computer vision solutions confidently, improve model performance and shorten development cycles in competitive global markets.
How AI-Powered Annotation Elevates Models Accuracy
Companies cannot achieve accurate computer systems by chance; they should build them on precisely labelled data. Improving model accuracy and developing AI-driven platforms for Irish tech organisations is directly tied to the consistency and quality of annotation processes.
Machine Learning Pre-Labelling
Machine learning models are used by AI-powered annotation tools to automatically create initial labels for videos and image frames. This pre-labelling technique helps companies reduce workloads and accelerate dataset preparation. The only work annotators have is to review and refine already generated tags, segmentation masks and/or bounding boxes instead of starting from scratch. For Irish companies working under pressure, this means quicker deployment and faster iterations of computer vision solutions.
Human Validation (In the Loop)
Human experience and expertise remain vital even though automation alone speeds up workflows. Human-in-the-loop validation guarantees that any AI-generated annotation is checked for edge cases, context and nuance. Skilled reviewers in this approach handle complex scenarios, correct inaccuracies and maintain dataset consistency. This is a perfect combination of precision and speed, which results in a stronger model performance and reliable training data.
Bias Reduction and Feedback Loops
AI-assisted annotation systems “grow” over time through a well-structured feedback loop. This means that corrections made by human annotators are returned to the systems to refine future output. Because of that, companies can boost efficiency while identifying and minimising bias in datasets. Reducing bias, especially for Irish tech companies like healthcare, finance and smart cities, is vital for fairness, long-term trust and compliance.
Conclusion
AI-enhanced data annotation is taking centre stage in computer vision innovation in Ireland‘s tech companies. These organisations can develop reliable, scalable and more accurate AI systems by combining human expertise with intelligent automation.
You’re deep in the trenches of eCommerce, juggling inventory, ads, and customer emails while watching every dollar you spend. The goal is simple: get more back than you put in. Boosting your ROI doesn’t come from flashy one-off tactics; it comes from smart, repeatable moves that stack up over time. Whether you’re running a growing store or managing a serious volume operation, these ten strategies have worked for plenty of others, and they can work for you too. Let’s break them down so you can start putting them into action.
1. Get Smarter About Customer Segmentation
Your focus has been on things like reading detailed payment processor reviews and finding the best payment processor, one that will support the company’s growth. Those steps won’t be of help unless you attract more customers. You’re already sitting on a goldmine of data about who’s buying from you. The trick is using it properly. Go beyond age or location and look at how people actually behave: how often they buy, what they spend, which products they love.
Once you’ve grouped your customers this way, everything gets more targeted, including your emails, your ads, and even the recommendations on your site. You stop shouting into the void and start having honest conversations. Shops that nail segmentation routinely see returns 20-30% higher because they spend money on people who are already inclined to buy.
2. Treat Paid Ads Like a Science Experiment
Paid advertising can drain your budget fast if you let it run on autopilot. Instead, turn every campaign into a testing ground. Split-test creatives, headlines, audiences, and landing pages until you know precisely what works.
Keep your eyes on the numbers that matter: cost per acquisition and return on ad spend. Kill what’s losing money quickly and pour fuel on what’s winning. Build lookalike audiences from your best buyers to find more people like them. A lot of store owners double their ad ROI just by being ruthless about cutting losers and scaling winners.
3. Speed Up Your Site and Nail the Mobile Experience
Nothing kills sales faster than a slow-loading page. If your site takes forever, people leave, your conversion rate tanks, and even your ad costs go up because platforms penalize bad experiences.
Shoot for pages that load in under three seconds. Compress images, turn on caching, and use a CDN if you haven’t already. Since most traffic now comes from phones, make sure everything looks and works great on mobile. Fixing these basics often delivers a nice bump in conversions without spending an extra dime on traffic. Additionally, ensure your checkout flow is seamless; a simplified payment gateway can reduce friction significantly during those critical final seconds.
4. Chase Down Abandoned Carts
Approximately 70% of shoppers ditch their carts. That’s a ton of potential revenue walking out the door. You can bring a good chunk of it back with automated recovery emails.
Send the first reminder within an hour, then follow up with a small incentive, such as free shipping or a modest discount, if needed. Add SMS reminders and retargeting ads that show the exact items they left behind. When done right, you can recover 10-15% of those lost sales, and it’s basically free money from traffic you already paid for.
5. Lean Into Reviews and User-Generated Content
People trust other customers more than they trust you, and that’s okay. Make it easy for happy buyers to leave reviews and share photos or videos of your products.
Ask for feedback right after purchase, offer a small incentive if you want, and showcase the best stuff on product pages and social. Products with solid reviews convert way better, and real customer photos build trust faster than any stock image ever could. This costs almost nothing and keeps working for you in the long term.
6. Build a Real Email Marketing Machine
Email still crushes it for ROI, often returning $30–$40 for every dollar spent. The difference between average and exceptional results comes down to how well you nurture your list.
Set up automated flows: welcome series for new subscribers, reminders for items they viewed, and win-back offers for quiet customers. Personalize everything based on what they’ve bought or browsed. Mix in helpful content alongside promotions so your emails stay valuable. Test subject lines and send times like your profits depend on it because they do.
7. Upsell and Cross-Sell Without Being Pushy
Raising your average order value is one of the cleanest ways to improve ROI, since your customer acquisition cost stays the same.
Show relevant add-ons during checkout, like “customers also bought” or personalized bundles based on what’s already in the cart. Follow up after purchase with intelligent recommendations for accessories or refills. Keep it helpful rather than aggressive, and you’ll often see AOV climb 10-20%, dropping straight to your bottom line.
8. Put Real Effort Into Keeping Customers
Getting a new customer costs a lot more than keeping an old one happy. Shift some of your budget toward retention and watch your ROI improve dramatically.
Start a simple loyalty program, such as points for purchases, redeemable for discounts or perks. Give your top spenders better rewards: early access to sales, free fast shipping, and exclusive products. Send personalized birthday offers or “we miss you” deals to inactive buyers. Loyal customers buy more often and spend more over time, giving you returns that compound.
9. Fine-Tune Your Pricing Strategy
Pricing isn’t set-it-and-forget-it. Keep an eye on competitors, but more importantly, test your own prices. Small changes, such as ending prices in .99, bundling products, or running strategic flash sales, can move inventory and lift margins.
Use your analytics to spot which items can handle a price increase and which are super price-sensitive. Even modest tweaks across your catalog can add up to serious profit improvements without driving customers away.
10. Make Data Your Best Friend
All these tactics work better when real numbers guide you. Connect your store to solid analytics tools and build dashboards that show customer lifetime value, acquisition costs, and which channels actually drive profit.
Review the data regularly, spot leaks, and shift budget toward what’s working. Decisions based on data beat gut feelings every time, and they’re what separate stores that scrape by from ones that scale smoothly.
There you have it—ten practical ways to boost your eCommerce ROI that have proven themselves across thousands of stores. You don’t need to tackle everything at once. Pick the two or three areas where you’re losing the most money right now, implement solidly, measure results, and build from there.
The stores that win long-term aren’t the ones chasing the latest trend; they’re the ones executing the fundamentals really well, week after week. Get these strategies working for you, stay disciplined with testing and data, and you’ll start seeing more substantial returns and a healthier business. You’ve got this; now make it happen.
The way Irish people experience sports has changed dramatically over the past decade. What used to be a simple affair of showing up at the stadium or turning on the telly has evolved into something far more complex and, frankly, more interesting. Technology has seeped into every corner of the sports world, and Ireland is no exception to this global shift that’s transforming how we play, watch, and engage with athletics.
From grassroots GAA clubs using performance tracking apps to Premier League fans streaming matches on their phones during lunch breaks, the digital transformation is everywhere you look. It’s not just about watching anymore. It’s about engaging, analysing, and participating in ways that weren’t possible even five years ago. The technology has fundamentally altered the relationship between fans and the sports they love.
Data analytics changing how teams compete
Professional sports teams in Ireland have embraced data analytics with open arms. The days of relying purely on a manager’s gut feeling are fading fast. Today, decisions about player selection, tactical approaches, and even transfer targets are increasingly driven by numbers and algorithms that process thousands of data points.
Rugby teams like Leinster Rugby have invested heavily in performance analysis departments. Every training session is recorded, every match dissected frame by frame by analysts looking for patterns and opportunities. Players wear GPS trackers that monitor their movements, heart rates, and fatigue levels throughout matches and training. Coaches receive detailed reports that help them tailor training programmes to individual needs and identify potential injury risks before they become serious problems.
This data-driven approach has filtered down to amateur levels too. Club managers now have access to affordable tools that would have seemed like science fiction a generation ago. The democratisation of sports technology means that a Sunday league team can analyse their performance with similar methods to professional outfits, albeit on a smaller scale and budget.
The streaming revolution
Traditional broadcasting is facing serious competition from digital alternatives. Irish sports fans increasingly prefer the flexibility of streaming services over conventional TV packages that lock them into fixed schedules. Being able to watch a match on your tablet while commuting or catching up on highlights during a coffee break has changed consumption patterns significantly across all demographics.
The GAA’s decision to stream more matches online opened up access for the diaspora scattered across the globe. An emigrant in Sydney can now watch their home county play championship football in real time, something that was impossible just a decade ago. That connectivity matters, both emotionally for fans abroad and commercially for the organisation. It keeps people engaged with Irish sports regardless of where life has taken them.
Fan engagement in the digital age
Sports consumption has become increasingly interactive in recent years. Fans don’t just watch passively; they comment on social media in real time, participate in fantasy leagues that require careful analysis, check live statistics on their phones, and follow sports betting markets in Ireland to see how odds shift during matches. The second screen experience, where viewers engage with their phones while watching on television, has become completely standard practice for most fans.
Clubs have adapted by building their digital presence substantially. Social media accounts, dedicated mobile apps, and regular online content keep fans connected between matchdays. The relationship between supporters and their teams now extends far beyond the ninety minutes on the pitch. It’s a continuous conversation that technology has made possible and that fans have come to expect.
Wearable technology and athlete performance
The gadgets athletes wear have become increasingly sophisticated over the years. Heart rate monitors, sleep trackers, and recovery apps give both professional and amateur athletes insights into their bodies that previously required expensive laboratory testing. Irish athletes competing at international levels rely heavily on this technology to optimise their preparation and recovery.
Even recreational runners training for the Dublin Marathon use GPS watches and training apps that provide personalised coaching advice. The technology adapts to your performance over time, suggests workout adjustments based on your progress, and tracks improvement over weeks and months. What was once available only to elite athletes is now accessible to anyone with a smartphone and the motivation to use it.
The integration of technology into Irish sports will only deepen in coming years. Virtual reality experiences that put fans pitchside from their living rooms, artificial intelligence that predicts match outcomes with increasing accuracy, and ever more sophisticated performance tracking are all on the near horizon. The challenge for sports organisations will be embracing these innovations while preserving what makes live sport special in the first place: the unpredictability, the atmosphere, and the shared human experience of supporting a team through good times and bad.
The gap between AI adoption and teacher preparedness in Irish schools is striking. Recent research from Microsoft and 3Gem found that 83% of Irish teachers lack formal training in AI, yet 72% support increased use of AI tools in their classrooms. This disconnect leaves thousands of educators wanting to use AI but uncertain where to start. The good news: you don’t need formal certification to begin using AI tools effectively in your teaching. What you need is a practical framework, sensible boundaries, and the confidence to learn alongside your students.
Irish classrooms are already among Europe’s most digitally advanced, with Ireland’s digital education transformation positioning schools ahead of many European counterparts. Teachers already use digital technologies to improve productivity and personalise learning—87% report using digital tools to optimise classroom time. AI represents the next step in this progression, not a complete departure from existing practice.
Why Formal Training Isn’t Always Necessary
Waiting for formal AI training before using these tools means missing opportunities that benefit students right now. AI tools designed for education are increasingly intuitive, with interfaces built for users without technical backgrounds. The same teachers who learned to use interactive whiteboards, learning management systems, and video conferencing during the pandemic can learn AI tools through similar approaches: experimentation, peer support, and gradual integration.
The Microsoft research reveals an interesting pattern: schools that adopt AI quickly report less concern about training gaps than slower-adopting schools. In fast-adopting institutions, only 32% cite insufficient training as a major barrier, compared to 67% in schools slower to adopt. This suggests that hands-on experience reduces perceived training needs—teachers who start using AI tools build confidence through practice rather than waiting for formal instruction.
“Technology in education should support teachers rather than replace their expertise,” notes Michelle Connolly, founder of LearningMole and former teacher with over 15 years of classroom experience. “The best approach is starting with simple applications that solve real classroom problems, then building from there.”
Starting Points for AI in Irish Classrooms
The most effective entry point for AI in teaching isn’t the most sophisticated application—it’s the one that saves you time on tasks you already do. Begin with administrative and planning tasks before moving to student-facing applications.
Lesson Planning and Resource Adaptation
AI tools can generate lesson plan outlines, suggest differentiation strategies, and adapt existing resources for different ability levels. A teacher preparing a history lesson on the Great Famine might use AI to generate discussion questions at varying complexity levels, create simplified text versions for struggling readers, or suggest extension activities for advanced learners.
The key is treating AI output as a starting point rather than a finished product. Review everything, adjust for your specific class, and add the contextual knowledge only you possess about your students. AI doesn’t know that Seán struggles with reading but excels in oral discussion, or that your Third Class has particular interest in local history. You add that expertise.
Feedback and Assessment Support
Writing individualised feedback consumes enormous teacher time. AI tools can help generate initial feedback drafts that you then personalise and refine. For a set of 30 creative writing pieces, AI might identify common issues across the class, suggest specific praise points, and flag pieces needing closer attention—reducing a three-hour task to one hour of focused work.
This application works particularly well because you remain in control of final communication with students and parents. AI handles the time-consuming initial analysis while you make professional judgements about what feedback each student actually needs.
Differentiated Resource Creation
Creating multiple versions of worksheets and activities for mixed-ability classes traditionally requires significant preparation time. AI can generate variations of resources at different reading levels, with varied scaffolding, or with alternative question formats—all from a single source document.
For Irish teachers managing classes with wide ability ranges, this capability transforms planning. Instead of choosing between teaching to the middle or spending hours creating differentiated materials, you can generate appropriate resources for each ability group efficiently.
AI Tools Suitable for Irish Primary Classrooms
Not all AI tools suit educational contexts. Teachers need applications that are age-appropriate, safe for school use, and aligned with Irish educational values around child protection and data privacy.
Text-Based AI Assistants
General AI assistants like ChatGPT and Claude can support lesson planning, resource creation, and administrative tasks. These work best for teacher-facing applications rather than direct student use in primary settings. Use them to generate quiz questions, explain difficult concepts in child-friendly language, or brainstorm creative approaches to teaching challenging topics.
When using these tools, avoid inputting student names, personal information, or sensitive data. Frame requests around general classroom scenarios rather than specific children.
Educational Platforms with Built-In AI
Some educational resource platforms now incorporate AI to personalise learning pathways and provide adaptive practice. LearningMole offers curriculum-aligned video content and teaching resources that teachers can use to supplement AI-assisted planning, providing quality-assured materials that work alongside AI tools.
These platforms offer safer environments for student interaction because they’re designed with educational safeguarding in mind. Content is curated, age-appropriate, and aligned with curriculum expectations.
Image and Presentation Tools
AI image generators can create custom illustrations for teaching materials, though teachers should review all output for appropriateness. Presentation tools with AI features can help structure content logically and suggest visual improvements.
For Irish teachers, these tools prove particularly useful for creating materials with local relevance—images depicting Irish landscapes, historical scenes, or cultural contexts that generic stock imagery often misses.
Practical Implementation Framework
Moving from occasional AI experimentation to systematic integration requires a structured approach. This framework helps teachers build AI use gradually without overwhelming themselves or their students.
Week One: Personal Productivity
Start with applications that don’t involve students at all. Use AI to draft parent communications, generate meeting agendas, or summarise long documents. This builds familiarity with AI interaction patterns—how to phrase requests effectively, how to evaluate output, how to iterate toward better results.
Keep a simple log of what works and what doesn’t. Note which types of requests produce useful output and which need significant revision. This personal experience base informs later classroom applications.
Weeks Two and Three: Planning Support
Expand to lesson planning support. Use AI to generate activity ideas, discussion questions, or assessment criteria. Compare AI suggestions against your professional judgement and existing resources. You’ll quickly identify where AI adds value and where it falls short for your specific teaching context.
Try having AI adapt existing resources for different ability levels. Take a worksheet you’ve used successfully and ask for simplified and extended versions. Evaluate whether these adaptations actually suit your students’ needs.
Week Four and Beyond: Selective Student Applications
Only after building personal confidence should you consider student-facing applications. Start with highly structured uses where you control the interaction—perhaps displaying AI-generated discussion prompts or using AI-created differentiated materials.
For older primary students, supervised AI use might include generating research questions, creating writing prompts, or exploring “what if” scenarios in history or science. Always preview AI outputs before student exposure and frame AI as a tool that makes mistakes, requiring critical evaluation.
Addressing Common Concerns
Teachers hesitating to use AI often cite specific concerns that, once addressed, become manageable rather than prohibitive.
Data Protection and Privacy
Irish schools operate under GDPR and specific DES guidance on data protection. AI tools raise legitimate questions about where data goes and how it’s used. The practical response: never input personal student data, names, or identifying information into AI tools. Frame all requests around anonymous, general classroom scenarios.
For teacher-facing applications, this restriction rarely limits usefulness. You can ask AI to help plan a lesson on fractions without mentioning any student names. You can generate differentiated resources for “a mixed-ability Third Class” without identifying specific children.
Academic Integrity
Concerns about students using AI to complete work dishonestly require age-appropriate responses. In primary settings, direct AI misuse is less common than in secondary and higher education. Focus instead on building critical evaluation skills—teaching children that AI can be wrong, that it doesn’t understand context, and that human judgement matters.
When students do use AI-supported tools, frame this as appropriate use of available technology rather than cheating. The goal is developing skills to work effectively with AI, not pretending it doesn’t exist.
AI tools produce confident-sounding output that may contain errors, outdated information, or cultural assumptions that don’t fit Irish contexts. Teachers must review all AI-generated content before use, just as they would review any external resource.
This requirement isn’t unique to AI—textbooks contain errors, websites become outdated, and imported resources assume different educational systems. The teacher’s professional role includes evaluating and adapting all materials, regardless of source.
Over-Reliance
Some teachers worry that AI will deskill the profession or make teaching impersonal. The opposite proves true when AI is used appropriately: by reducing time on administrative tasks, AI frees teachers to focus on the relational, creative, and responsive aspects of teaching that no technology can replicate.
AI cannot read the mood of a classroom, notice that a child seems withdrawn, or adjust a lesson because the energy is different today. These human skills become more valuable, not less, as AI handles routine tasks.
Building Confidence Through Peer Learning
Formal training programmes exist—the Microsoft Dream Space Teacher Academy offers free AI skills development for Irish teachers—but peer learning often proves more immediately useful. Teachers learn best from colleagues who’ve solved similar problems in similar contexts.
Staffroom Sharing
Informal conversations about AI successes and failures accelerate collective learning. When one teacher discovers an effective way to use AI for report writing, sharing that approach benefits the whole staff. Schools might designate brief time in staff meetings for AI tool sharing, creating space for practical exchange without requiring extensive formal development.
School-Based Champions
Some teachers naturally embrace new technologies and can support colleagues’ learning. Without creating additional workload, schools might recognise these informal champions and create opportunities for them to share expertise. A ten-minute demonstration of AI-assisted planning might inspire colleagues to experiment independently.
Online Communities
Irish teacher communities on social media and professional networks increasingly discuss AI applications. These spaces offer access to broader experience than any single school provides, with teachers sharing specific prompts, workflows, and cautionary tales from their own practice.
Curriculum Connections
AI integration works best when aligned with existing curriculum goals rather than added as separate technology instruction. The Irish Primary Curriculum’s emphasis on skills development provides natural connections.
Critical Thinking
Evaluating AI output develops critical thinking skills explicitly valued in the curriculum. When students assess whether an AI-generated text is accurate, well-written, or appropriate, they practice analysis and evaluation skills transferable across subjects.
Communication
Using AI effectively requires clear communication—precise requests produce better output. Students learning to interact with AI develop skills in clarity, specificity, and iterative refinement that support writing and speaking development.
Creativity
AI tools can support creative work by generating starting points, suggesting alternatives, or providing constraints that spark imagination. A student stuck on a story opening might use AI-generated prompts as inspiration while maintaining ownership of their creative choices.
The Role of Quality Teaching Resources
AI tools work best alongside high-quality teaching resources rather than replacing them. AI can generate rough content quickly, but polished, curriculum-aligned, pedagogically sound resources require human expertise and careful development.
Platforms offering structured educational content complement AI tools by providing reliable starting points that AI can help adapt and extend. When planning a science unit, a teacher might use video resources from established educational platforms for core instruction, then use AI to generate extension activities, differentiated worksheets, and assessment questions aligned with that content.
This combination—curated resources for core content, AI for adaptation and extension—offers efficiency without sacrificing quality. Teachers maintain professional control over what students learn while reducing time spent on routine resource creation.
Moving Forward Responsibly
AI in Irish education will continue developing regardless of individual teachers’ choices. The question isn’t whether to engage with AI but how to do so in ways that benefit students while maintaining professional standards and educational values.
Starting small, maintaining critical oversight, and building gradually from personal productivity to classroom application provides a manageable pathway. Teachers who begin this journey now, even without formal training, position themselves and their students well for an educational landscape where AI literacy becomes increasingly expected.
The 83% of Irish teachers lacking formal AI training aren’t failing—they’re facing a professional development system that hasn’t kept pace with technological change. By taking initiative to learn through practice, these teachers demonstrate exactly the adaptability and commitment to improvement that makes Irish education strong.
Frequently Asked Questions
Do I need formal AI training before using AI tools in my classroom? No. Many AI tools are designed for users without technical backgrounds. Start with simple applications for personal productivity, build familiarity through practice, and expand gradually. Hands-on experience often reduces perceived training needs more effectively than formal courses.
What AI tools are safe for use in Irish primary schools? Teacher-facing tools like ChatGPT and Claude work well for planning and resource creation when you avoid inputting student personal data. Educational platforms with built-in AI features designed for school use offer safer options for student-facing applications, as they’re built with appropriate safeguards.
How can I use AI without compromising student data protection? Never input student names, personal information, or identifying details into AI tools. Frame all requests around anonymous, general scenarios. For example, ask for resources suitable for “a mixed-ability Third Class” rather than naming specific children or their characteristics.
Will using AI make me a less effective teacher? Used appropriately, AI makes teachers more effective by handling routine tasks and freeing time for the relational, creative, and responsive work that defines excellent teaching. AI cannot replace professional judgement, classroom presence, or understanding of individual students.
How do I evaluate whether AI-generated content is suitable for my classroom? Review all AI output before use, checking for accuracy, age-appropriateness, and alignment with Irish curriculum expectations. Apply the same critical evaluation you’d use for any external resource. AI content is a starting point for professional refinement, not a finished product.
What’s the best way to start using AI as a teacher? Begin with personal productivity tasks that don’t involve students: drafting communications, generating meeting agendas, or summarising documents. Build familiarity with AI interaction patterns before moving to planning support and eventually selective student-facing applications.
Conclusion
Irish teachers don’t need to wait for formal training to begin benefiting from AI tools. The practical framework outlined here—starting with personal productivity, expanding to planning support, and eventually incorporating selective student applications—provides a manageable path for any teacher willing to experiment and learn.
The gap between AI enthusiasm and training provision in Irish education creates an opportunity for teachers to lead their own professional development. By engaging thoughtfully with AI tools now, building critical evaluation skills, and maintaining focus on educational values, teachers prepare themselves and their students for an educational future where AI literacy matters increasingly.
Quality teaching resources, professional judgement, and human relationships remain at the heart of excellent education. AI tools enhance rather than replace these fundamentals—when used by teachers confident enough to experiment, critical enough to evaluate, and focused enough to keep student benefit central to every decision.
As AI and SaaS products grow more sophisticated, the gap between what technology does and what users understand widens. Belfast’s animation specialists are helping bridge that divide.
Irish tech companies face a communication crisis that threatens growth, user adoption, and investor confidence. Products built on machine learning, complex algorithms, and multi-layered architectures are genuinely difficult to explain. Sales cycles extend as prospects struggle to grasp value propositions. Support tickets multiply when users cannot navigate sophisticated features. Training programmes fail when employees cannot visualise abstract workflows.
Animation is emerging as the solution to this explainability problem—not as a marketing gimmick, but as a strategic communication tool that translates technical complexity into visual clarity.
Educational Voice, a Belfast-based 2D animation studio, has positioned itself at the intersection of this challenge. The company works with technology firms across Ireland and the UK to create animated content that makes complex products accessible to diverse audiences—from C-suite decision-makers evaluating enterprise software to end-users onboarding onto new platforms.
The demand reflects a fundamental shift in how tech companies approach communication. Where traditional documentation and static diagrams once sufficed, modern products require dynamic explanations that mirror the interactive nature of the technology itself.
The Explainability Gap in Modern Tech Products
Software products have reached a level of sophistication where their core functionality often defies simple explanation. Consider a typical SaaS platform: data flows between integrated systems, machine learning models make predictions based on historical patterns, automated workflows trigger across multiple touchpoints, and user interfaces adapt based on role permissions and usage history.
Explaining this through text documentation creates cognitive overload. Users must hold multiple abstract concepts in working memory whilst reading sequential descriptions of parallel processes. The result is partial understanding at best, complete confusion at worst.
Animation resolves this by showing rather than telling. Data flows become visible rivers moving between clearly labelled systems. Machine learning predictions appear as visual transformations—raw data entering one side, actionable insights emerging from the other. Automated workflows unfold as step-by-step sequences that viewers can follow at their own pace.
Michelle Connolly, founder and director of Educational Voice, explains the approach: “Tech companies often struggle because they’re too close to their own products. They understand the complexity intimately, which makes it hard to see where users get lost. Animation forces simplification—you cannot animate what you cannot clearly define. That discipline alone improves communication dramatically.”
Where Animation Delivers Measurable Impact
Irish tech companies deploying animation report improvements across multiple business metrics. These gains reflect animation’s ability to communicate complex information efficiently and memorably.
Sales cycle acceleration occurs when prospects understand value propositions faster. Instead of extended discovery calls where sales teams repeatedly explain technical features, animated explainers handle the educational heavy lifting. Prospects arrive at sales conversations already understanding core functionality, allowing discussions to focus on specific use cases and implementation details.
Onboarding completion rates improve when new users can visualise workflows before attempting them. Interactive animated tutorials reduce the frustration that causes users to abandon platforms during initial setup. Each feature introduction builds on previous explanations, creating logical learning progressions that static help documentation cannot match.
Support ticket reduction follows from better user education. When customers understand how features work—and crucially, why they work that way—they make fewer errors requiring support intervention. Animation investment often pays for itself through reduced support costs within months of deployment.
Training effectiveness increases measurably when employees learn through animated content. Complex procedures become memorable when presented as visual narratives. Compliance training, in particular, benefits from animation’s ability to present scenarios that text descriptions struggle to convey.
The technology behind modern animation production has advanced significantly, making these applications increasingly accessible. Educational Voice has detailed how AI-enhanced animation workflows are transforming production efficiency, enabling enterprise-scale projects within realistic timelines and budgets.
Animation for AI Products: Explaining the Unexplainable
Artificial intelligence presents unique communication challenges. AI systems make decisions through processes that even their creators cannot fully articulate. Explaining to users or regulators how an AI reached a particular conclusion requires visual approaches that text cannot achieve.
Animation addresses AI explainability through several techniques:
Process visualisation shows data entering AI systems, transformation through model layers, and output generation. While technically simplified, these visualisations help stakeholders understand the general flow from input to decision.
Confidence representation depicts AI predictions alongside uncertainty indicators. Animation can show how multiple factors influence confidence levels, helping users understand when to trust AI recommendations and when to apply additional scrutiny.
Training data illustration demonstrates how AI models learn from historical examples. Visualising the relationship between training data and model behaviour helps users understand both capabilities and limitations.
Bias identification becomes possible when animation shows how training data composition affects model outputs. These visualisations support responsible AI deployment by making abstract bias concepts concrete and observable.
For Irish AI companies competing globally, the ability to explain their technology clearly differentiates them from competitors whose products remain black boxes. Regulators, enterprise buyers, and end-users all increasingly demand transparency that animation can provide.
Fintech and Animation: Building Trust Through Clarity
Financial technology companies operate in high-stakes environments where user trust determines success. People need to understand what happens to their money, how decisions affecting their finances are made, and what protections exist against errors or fraud.
Animation serves fintech companies across several critical areas:
Transaction flow explanation shows exactly how money moves between accounts, through payment networks, and across borders. Users who understand these flows trust the platform handling their funds.
Security protocol visualisation demonstrates the multiple layers protecting user data and funds. Abstract concepts like encryption, multi-factor authentication, and fraud detection become tangible when animated.
Regulatory compliance illustration helps users understand their rights and responsibilities under financial regulations. Complex requirements around data protection, transaction limits, and reporting obligations become accessible through visual explanation.
Investment product education makes sophisticated financial instruments comprehensible to retail investors. Risk profiles, fee structures, and expected returns become clearer when presented through animation than through legally-required text disclosures alone.
The Belfast animation sector has particular expertise in this domain, with Educational Voice having developed content for financial services clients requiring both technical accuracy and regulatory compliance.
Enterprise Software: Reducing Implementation Risk
Large enterprise software implementations frequently fail due to poor user adoption. Technical capabilities matter little if employees cannot or will not use new systems effectively. Animation addresses this challenge throughout the implementation lifecycle.
Pre-implementation animation helps stakeholders visualise the end state before committing resources. Decision-makers can see how new systems will integrate with existing workflows, reducing anxiety about change and building organisational buy-in.
During implementation, animated training materials prepare users for new interfaces and processes. Just-in-time learning modules address specific features as they become relevant, avoiding information overload from comprehensive upfront training.
Post-implementation animation supports ongoing optimisation by illustrating advanced features and best practices. As users become comfortable with basic functionality, animated content introduces capabilities they might otherwise never discover.
Change management benefits enormously from animation’s ability to present future states compellingly. Resistance to change often stems from inability to visualise improvement. Animation makes abstract promises concrete, showing employees exactly how new tools will improve their work.
The Technical Evolution of Business Animation
Animation production has undergone technological transformation that makes enterprise applications viable. Traditional animation methods required extensive manual work that limited both speed and scale. Modern production pipelines incorporate automation, AI assistance, and modular design principles that dramatically improve efficiency.
API integration enables animations to incorporate live data from client systems. Product demonstrations can show real information rather than static examples, increasing relevance and credibility. Personalisation becomes possible—different user segments see variations tailored to their specific contexts.
Programmatic animation generation allows single design frameworks to produce multiple outputs automatically. Localisation across languages no longer requires complete reproduction—automated systems handle translation, timing adjustment, and cultural adaptation with minimal manual intervention.
Cloud-based rendering distributes processing across scalable infrastructure, eliminating hardware constraints that once limited production capacity. Complex animations render in hours rather than days, enabling iteration speeds that support agile development methodologies.
These technical advances mean animation is no longer reserved for large enterprises with substantial creative budgets. SMEs and startups can access professional animation production at price points that deliver positive ROI on modest marketing and training investments.
Measuring Animation Effectiveness
Tech companies expect measurable outcomes from their investments, and animation delivers quantifiable results when properly implemented. Effective measurement requires establishing baselines before deployment and tracking relevant metrics throughout.
Engagement metrics reveal whether audiences actually watch animated content. Completion rates, replay frequency, and interaction patterns indicate resonance. Drop-off analysis identifies specific moments where audiences disengage, informing content improvement.
Comprehension assessment confirms whether animation achieves its educational objectives. Pre and post-viewing assessments measure knowledge transfer. Follow-up testing reveals retention over time.
Behaviour change tracking connects animation viewing to desired actions. Conversion rates, feature adoption, process compliance, and error reduction all reflect animation’s practical impact.
Business outcome attribution links animation investment to revenue, cost savings, or efficiency gains. Customer lifetime value, support costs, and training expenses provide financial context for creative investment.
Analytics platforms designed for video content provide this measurement capability without custom development. Integration with existing business intelligence systems enables animation performance to appear alongside other marketing and operational metrics.
Choosing Animation Partners for Tech Projects
Not all animation providers understand technology sector requirements. Tech companies should evaluate potential partners based on several criteria:
Technical comprehension matters enormously. Animators who understand software architecture, data flows, and system integration produce more accurate and useful content. Ask potential partners to explain their experience with similar technologies.
Production methodology should align with tech development practices. Studios using version control, iterative development, and structured review processes integrate better with existing workflows than those following traditional creative agency approaches.
Scalability determines whether a partner can grow with your needs. Initial projects often expand as organisations recognise animation’s value. Partners unable to scale become constraints rather than assets.
Integration capability affects how animation content connects with existing systems. API access, compatible file formats, and technical documentation support enable animation deployment across multiple platforms and contexts.
Measurement support ensures animation investment delivers accountable results. Partners should provide analytics integration, performance reporting, and optimisation recommendations based on data.
Educational Voice brings specific experience with technology sector clients, combining animation expertise with understanding of tech company communication challenges. Their Belfast location offers advantages for Irish companies seeking accessible partnerships with shared business context.
Animation’s Growing Role in Tech Communication
As technology continues advancing faster than human ability to comprehend it naturally, animation becomes increasingly essential for bridging understanding gaps. Products that cannot be explained cannot be sold, adopted, or used effectively. Animation provides the visual vocabulary that text-based communication lacks.
Irish tech companies competing in global markets face particular pressure to communicate clearly across cultural and linguistic boundaries. Animation transcends language barriers more effectively than text, enabling single productions to serve international audiences with minimal adaptation.
The convergence of AI, animation, and enterprise communication points toward even more sophisticated future applications. Personalised animated content generated in real-time based on user contexts. Interactive explanations that adapt based on comprehension assessment. Virtual environments where users explore products through animated guidance.
For now, the immediate opportunity is clear: tech companies that invest in animation communication outperform those relying solely on traditional methods. The explainability gap separates successful technology products from technically excellent failures. Animation bridges that gap.
Frequently Asked Questions
How does animation compare to live-action video for explaining technology products?
Animation offers complete control over visual representation that live-action cannot match. Abstract concepts like data flows, algorithm processes, and system integrations have no physical form to film. Animation creates visual representations from scratch, precisely matching the concepts being explained. Production also avoids challenges with talent availability, filming locations, and post-production limitations that constrain live-action approaches.
What is the typical timeline for producing enterprise animation content?
Timelines vary based on complexity and scope. Simple explainer videos of 60-90 seconds typically require two to four weeks from brief to delivery. Comprehensive training series or interactive content may extend to two or three months. The scripting and storyboarding phases often determine overall timeline more than animation production itself—getting the content right before production begins prevents costly revisions later.
Can animation content be updated when products change?
Modern animation production creates modular assets that support efficient updates. Character designs, interface representations, and visual frameworks can be reused across multiple productions. When products evolve, animations can be revised rather than completely recreated. This approach significantly reduces ongoing costs for companies whose products change frequently.
How do tech companies measure animation ROI effectively?
Effective measurement connects animation viewing to business outcomes. Track metrics including sales cycle duration before and after animation deployment, onboarding completion rates, support ticket volumes, and training assessment scores. Attribution modelling helps identify animation’s contribution within broader marketing and enablement efforts. Most companies find animation investment returns positive ROI within six to twelve months through reduced support costs and improved conversion rates.
What makes animation particularly effective for AI product explanation?
AI systems operate through processes invisible to users—data transformation, model inference, and confidence calculation happen inside computational systems with no observable form. Animation creates visual metaphors that make these processes comprehensible without requiring technical background. The ability to show simplified representations of complex processes helps users develop accurate mental models of AI behaviour, supporting appropriate trust calibration and effective usage.
Educational Voice is a 2D animation studio based in Belfast, Northern Ireland, specialising in educational, explainer, and corporate training animations for businesses across Ireland and the UK. Learn more at educationalvoice.co.uk.
Nearly one in four Irish people has had their personal data compromised, new research from eir business reveals, highlighting low levels of consumer confidence in how companies manage and protect customer information.
The survey on the security of Irish businesses also highlighted that almost half (44%) ofIrish consumers do not feel informed about how their data is used by companies, while 40% are not confident their data is safe.
These results offer insights into the prevalence of cybercrime for everyday consumers, and the role Irish businesses can play in safeguarding data and alleviating customer concerns.
Alongside the survey, eir business (formerly eir evo) has revealed a new corporate identity, reflecting the evolution of the B2B telecoms and IT service provider.
The eir business/Amarách survey highlights concern about how businesses manage the security and transparency of vital personal information.
This vulnerability is reflected in the fact that only 16% of people are confident that Irish businesses are protecting their personal information. Older generations are even less likely to feel comfortable with the security of their online data, with 51% of 55–64-year-olds not trusting businesses to protect their information.
While artificial intelligence (AI) solutions are often suggested for data management, almost half (45%) of those surveyed are still unsure of what benefits AI might bring when dealing with business. However, the expectation of faster (30%) and cheaper (26%) service, alongside 24/7 availability (32%) as a result of AI business processes were highlighted.
Susan Brady, Managing Director of eir business: “Businesses across Ireland are operating in a time of rapid and complex digital change, and consumers are rightly asking for greater protection, greater transparency, and partners they can trust.
“This research highlights that expectation clearly. People want confidence that their data is safe, that companies are accountable, and that technology is being used responsibly. Meeting those expectations isn’t optional, it’s now a core requirement for every organisation.
“As we transform from eir evo to eir business, our focus is on bringing that clarity and confidence to the market. We’re here to give businesses secure, managed solutions they can rely on, supported by the scale, expertise and engineering depth that sits at the heart of this organisation. “Our mission is to make the complex feel effortless, to help organisations stay protected against emerging threats, and to empower them to grow and thrive in a digital-first Ireland.”
Oliver Loomes, CEO of eir, added: “The findings of this research send a clear message: customers want greater transparency, stronger protection of their data, and partners they can trust. As Ireland’s digital economy accelerates, businesses of every size are facing rising expectations and increasing complexity.
“Our rebrand to eir business reflects both the scale of this opportunity and our commitment to meeting these needs head‑on. By uniting the full strength of eir’s networks, technology and expertise, we are positioned to deliver the secure connectivity, cloud, and cybersecurity solutions that organisations rely on to operate with confidence. This is a pivotal moment in our evolution, one that strengthens Ireland’s digital resilience and supports our purpose to Connect for a Better Ireland.”
