Cover Story
Powering the Future of Data Centers with AI-Driven Energy and Cooling Solutions
Stephen Liang, Chief Technology Officer, and EVP Infrastructure & Solutions, Vertiv
With the rapid expansion of data center investments across the Middle East, fuelled by the region’s abundant and affordable power resources, Technology Integrator spoke with Stephen Liang, Vertiv’s CTO, to explore the company’s latest innovations in cooling and power solutions. These advancements are designed to meet the demands of high-density data centers while prioritizing energy efficiency, positioning Vertiv at the forefront of data center innovation and infrastructure development in the region.
He also delved into Vertiv’s strategic collaborations with industry giants like NVIDIA and other leading chipmakers, which are instrumental in ensuring data centers are future-ready for the growing demands of AI applications. Liang emphasized how Vertiv’s global R&D network drives innovation, enabling the company to develop tailored solutions that address the unique needs of Middle Eastern markets.
As the Chief Technology Officer, could you share insights into how you’re utilizing AI within your organization?
AI is both a dynamic frontier and an evolution of established methodologies. In many respects, it’s a modern enhancement of time-tested techniques. For instance, we’ve long used large-scale data models for data mining and predictive maintenance and leveraged sophisticated machine learning algorithms to support our design processes and simulations, especially for analyzing power and cooling flows. Today, AI amplifies these capabilities, accelerating the precision, speed, and depth of learning and analysis. Looking forward, we’re pushing the envelope in assisted programming and design, exploring AI’s potential to shape Vertiv’s future innovations.
At its core, AI unifies a suite of advanced technologies under one framework, driven by high-performance computing that enables significantly faster, more complex task execution. Where we once relied on human productivity alone, we now have computers driving transformations at an unprecedented scale, redefining workflows and drastically shortening innovation cycles. While human capabilities eventually plateau, AI empowers our teams to reach new productivity heights, creating products and solutions that closely align with customer needs. This is AI’s transformational power in action.
How is Vertiv leveraging its presence in the Middle East and its partnerships with hyperscalers and chip manufacturers to address the growing demands on data centers driven by AI advancements?
When engaging with data center operators worldwide, one of their most pressing challenges is ensuring uninterrupted and reliable power. The Middle East, with its robust, cost-efficient power sources, has become a strategic hub for data center growth, particularly those focused on AI applications. Vertiv is well-positioned to support this expansion, with deep roots in the region, including a state-of-the-art production facility in Ras Al-Khaimah, and longstanding regional partnerships that enable us to support virtually any data center project.
Additionally, our strategic collaborations with hyperscalers and major chipmakers such as NVIDIA place us at the forefront of data center evolution. As AI technology advances and the demand for data centers intensifies, we’re helping client’s infrastructures be future-ready. Today, data center planning requires a proactive, visionary approach; after years of plateauing demand, AI has reignited the industry, driving a resurgence in infrastructure innovation.
By collaborating with leading technology providers and data center operators, Vertiv ensures rapid deployment of cutting-edge technologies with resilient, scalable infrastructure. We’re laying the foundation for the next wave of AI-driven advancements and solidifying the region’s place in this transformative landscape.
How has Vertiv’s long-standing partnership with NVIDIA, especially in AI research, shaped its approach to supporting cutting-edge technology deployment?
Our partnership with NVIDIA has been pivotal, particularly in advancing critical digital infrastructure to accelerate AI adoption. Through power and cooling initiatives with NVIDIA, Vertiv has provided extensive expertise to show our ability to support global deployments at scale while educating and empowering the wider AI ecosystem.
Our unique blend of technical depth and global presence has established Vertiv as a trusted partner to industry giants who count on us for seamless, efficient deployment of their most advanced technologies.
How do you balance the increasing demand for computing power with the need for energy efficiency?
AI is often labelled as “energy-intensive,” but it’s more accurate to view it as a technology that enables higher productivity per kilowatt. Measured in Floating Point Operations Per Second (FLOPS) or Million Instructions Per Second (MIPS), today’s computers achieve exponentially higher outputs for the same energy input. While modern Graphics Processing Units (GPUs) indeed draw more power, their processing capabilities have advanced even faster, delivering greater efficiency in computational tasks.
Traditionally, Power Usage Effectiveness (PUE) has gauged efficiency by comparing power usage in compute tasks with total facility power. But PUE alone doesn’t fully capture the extraordinary gains in processing power achieved per energy unit. If we’d limited ourselves to Central Processing Unit (CPU) level performance, we’d save energy, but at the cost of breakthrough advancements in fields like medicine, scientific research, and sustainable energy solutions.
The tech industry is innovating vigorously for sustainability. UPS systems, which were once only 80% efficient, now achieve up to 98% or higher, while some cooling systems’ PUE has improved from 3-4 to approximately 1.2. This evolution underscores our commitment to balancing demand with sustainable infrastructure, driving positive impact even as we scale for a data-driven future.
How is Vertiv adapting its power and cooling solutions to meet the growing demand for higher power densities in data centers, especially with the integration of AI technologies, and what role do renewable energy sources play in this evolution?
Vertiv is actively partnering with leading tech developers to craft advanced cooling and power solutions that accommodate surging power densities in data centers. Just a few years ago, most data centers operated at about 10 kilowatts per cabinet. Today, some AI-focused hardware demands up to 40 kilowatts, and projections now reach from 80 to 150 kilowatts per rack. This rapid rise in power density requires pioneering approaches to power management and cooling, and Vertiv is spearheading this evolution from the grid down to the chip level.
AI workloads create fluctuating power demands that can impact grid stability. To address this, Vertiv collaborates with chip manufacturers and hyperscalers to develop technologies that stabilize power requirements while helping to maintain grid reliability. Our adaptive energy storage systems smooth out power fluctuations and help to seamlessly integrate renewables like wind and solar into the grid, promoting more efficient data center operations.
With a flexible, globally tailored approach to cooling and power, Vertiv ensures mission-critical infrastructure that supports a wide array of high-performance applications globally. This combination of advanced technology and regional customization positions Vertiv as a leader in future-ready data center solutions.
6. How is Vertiv empowering its global R&D network and partnerships to drive innovation in data center technology?
It’s an incredibly exciting era for Vertiv and the data center industry. Having witnessed several transformative waves, I believe we’re on the cusp of another pivotal shift. Vertiv’s commitment to cutting-edge R&D has never been stronger, with strategic partnerships at an all-time high positioning us alongside industry trailblazers. Major tech companies now look to Vertiv to create the future of data centers, engaging with top research institutions to advance capabilities at the frontier of the industry.
Vertiv’s extensive, strategically positioned R&D network allows us to swiftly adapt to evolving market needs, delivering region-specific solutions that set global standards. Through this expansive innovation ecosystem, we’re advancing the future of data centers and meeting the complex demands of the AI era with resilience and ingenuity.
Cover Story
AI Moves from Experiment to Essential in UAE’s Advertising Landscape

From content creation to media buying, artificial intelligence is quietly reshaping how campaigns are built, delivered, and optimised across the GCC.
In the UAE and across the GCC, artificial intelligence has moved well beyond the stage of experimentation. What was once a buzzword discussed in boardrooms is now deeply embedded in the day-to-day execution of advertising. Brands are no longer testing AI—they are relying on it to run campaigns, generate content, and make increasingly precise decisions about audience targeting and timing.
On the creative front, the shift is particularly visible. AI-powered tools are now capable of producing ad copy, visuals, and even short-form video content at a pace that would have been unthinkable just a few years ago. For marketers operating in a market like the UAE—where campaigns often need to speak to audiences in both English and Arabic, while also resonating across a diverse mix of nationalities, this level of speed and adaptability is more than a convenience. It is becoming a necessity.
Behind the scenes, machine learning has also transformed how media buying is approached. Traditional methods that relied heavily on instinct or retrospective performance reports are steadily being replaced by systems that analyse audience behaviour in real time. These platforms continuously optimise campaign performance, adjusting budgets and placements based on how users interact with content.
In the UAE’s PR ecosystem, brands are already leveraging platforms such as Meltwater, Brandwatch, and Sprout Social to better understand media performance, audience sentiment, and the broader buying landscape.

A practical example of this shift can be seen in platforms like Skyscanner, where advertising systems respond dynamically to user intent. Instead of targeting broad demographic groups, campaigns are triggered by actual search behaviour and travel patterns, allowing for more relevant and timely engagement.
AI is also influencing emerging advertising formats. Digital billboards, for instance, are becoming more responsive, using live data inputs to tailor content based on factors such as time of day, location, and audience movement. Similarly, augmented reality experiences are beginning to incorporate behavioural insights, offering more contextual and interactive brand engagements.
Looking ahead, the trajectory appears clear. Advertising is moving towards deeper automation, more intelligent recommendations, and tighter integration between creative tools and analytics platforms. The industry is shifting from a model centred on broadcasting messages to one that focuses on responding to audiences in real time, with context and precision.
In this evolving landscape, AI is no longer just an enabler, it is becoming the foundation on which modern advertising is built.
Cover Story
SHAPING THE SKYLINE: HOW GCC MARKETS ARE REDEFINING ARCHITECTURE IN 2026
Mohamed Fiaz Khazi, Entrepreneur & Managing Director, Euro Systems
Architecture across the GCC is entering a more demanding phase, shaped by the realities of day-to-day operation. For much of the past decade, design ambition was defined by scale, visibility, and speed. Towers rose quickly, façades grew lighter, and skylines transformed almost overnight. In 2026, the focus has shifted to how buildings perform over time and the quality of experience they deliver to occupants.
This evolution reflects a more mature, performance-driven market while maintaining bold design. Questions around energy use, occupant comfort, maintenance, and durability are now central to architectural decision-making. In a region shaped by heat, dust, and intense solar exposure, design intent carries weight only when it is supported by systems capable of delivering consistent performance over time.
A changing regional approach
Façades illustrate this shift particularly clearly. Glass-heavy architecture remains integral to the region’s visual language, yet it is now approached with greater technical intent. Solar control, shading, acoustic performance, and automation are increasingly considered as parts of a unified strategy rather than isolated design features.
Industry studies consistently show that external shading devices, such as louvers and overhangs, can significantly reduce solar heat gain before it enters the building envelope, lowering cooling demand in the process. Fully shaded glazed areas further reduce thermal loads, easing pressure on mechanical systems while improving internal comfort.
While this performance-led direction is shared across the GCC, each market is responding in its own way.
In the UAE, architectural expression continues to take center stage. Landmark developments, hospitality projects, and mixed-use districts place strong emphasis on experience and identity. What has changed is the level of coordination behind the scenes. Façades are now expected to deliver daylight and transparency without introducing glare or thermal instability. Shading and glazing strategies are increasingly developed together, allowing design ambition to be preserved while meeting operational requirements.
Saudi Arabia presents a different dynamic. Here, scale and speed dominate, with large-scale developments and giga-projects compressing timelines and increasing complexity. In such an environment, fragmented decisions quickly translate into operational challenges. Architecture in the Kingdom is therefore being shaped by early integration, industrialized delivery, and lifecycle planning, where performance and repeatability become essential to building at scale. Research from McKinsey reinforces this approach, showing that large capital projects perform more reliably when coordination replaces siloed decision-making.
Qatar occupies a distinct position between these two models. Following a period of rapid delivery, focus has shifted toward longevity, sustainability, and adaptability. Buildings are expected to operate efficiently over decades and align closely with national sustainability frameworks. Façade performance, shading strategies, and acoustic control are increasingly specified for their contribution to long-term asset value and occupant well-being.
Technology integration
Technology underpins much of this evolution. Smart shading, responsive glazing, and integrated control systems are now practical tools for managing daylight, reducing glare, and stabilizing interior conditions. By reducing solar radiation before it reaches the glazing, external shading delivers measurable performance benefits in high-sun environments.
When façade strategies are developed early and embedded into the design process, materials, structure, and systems align more naturally. The result is architecture that feels deliberate in appearance and dependable in operation.
An operational view
The next wave of GCC projects will approach architecture as a dynamic system, ensuring long-term efficiency and reliability. Design ambition will remain high, but it will be matched by discipline in execution. Integration will increasingly define the process, particularly on complex and large-scale developments, with performance considered alongside form from the outset.
This shift represents meaningful progress. It reflects a region learning from experience and raising its own standards. The skyline will continue to evolve, but its true measure will lie in buildings that remain comfortable, efficient, and resilient long after the initial excitement has passed.
Cover Story
BUILDING WITH DATA: A DEEP DIVE INTO CONSTRUCTION INTELLIGENCE WITH PLANRADAR

Dubai’s construction pipeline is moving at a pace that demands absolute execution discipline. We sit down with Ibrahim Imam, CEO and Co-founder of PlanRadar, to discuss how real-time tracking, digital templates, and AI are eliminating site ambiguity and setting a new benchmark for project delivery certainty in the region.
Dubai’s construction sector continues to grow despite evolving regional dynamics. From your perspective, how is digital transformation reshaping project execution and operational efficiency across construction sites in the region?
Dubai’s construction and real estate pipeline continues to move at pace, and that pace puts a spotlight on execution discipline. In practice, many performance issues don’t start as major failures—they start small: an unclear detail in the plans, an inspection requested too late, a change implemented before approval, or a delivery accepted without proper checks. These gaps often surface later as rework, delays, audit findings, or disputes—when time and cost impacts are already locked in.
Digital transformation is reshaping execution in two very practical ways: speed of decisions and quality of evidence. When inspections, approvals, and corrective actions are managed through consistent workflows—linked to the right location and supported by photos, markups, or test results—teams stop relying on individual habits and start relying on a system. That is why the Construction Site Templates Playbook frames templates as operational control points, not paperwork. When these controls are digitised and embedded into daily routines, operational efficiency improves because coordination becomes faster and issues are closed with verified evidence.
Platforms like PlanRadar are enabling teams to digitise on-site workflows. What role does real-time tracking of inspections, tasks, and approvals play in improving transparency and accountability across project teams?

Real-time tracking changes daily site management from “What do we think happened?” to “What can we verify right now?” That shift is a major driver of transparency and accountability.
First, it makes ownership and deadlines explicit. When an inspection request, an RFI response, a non-conformance closure action, or an approval task is assigned to a named person or role with a due date, follow-up becomes structured. Leadership can see what is overdue without chasing updates across emails and messaging threads.
Second, it links records to the right location and supporting evidence.Construction is location-based. A record without a clear location (area/level/grid) and objective evidence can create ambiguity and slow decisions. Real-time workflows make it easier to capture evidence at the point of work—photos, markups, documents, test results—and link it directly to the site location and the relevant record.
Finally, it strengthens audit readiness and handover quality. Time-stamped, traceable records reduce reliance on reconstructed evidence during audits, handover, or dispute resolution. In regulated environments and high-value developments, this traceability increasingly matters.
Developers today are under pressure to deliver projects on time while maintaining quality standards. How are digital tools helping teams maintain delivery certainty despite increasing project complexity?
Developers today are under pressure to deliver projects on time while maintaining quality standards. Digital tools are helping teams maintain delivery certainty despite increasing project complexity by making issues visible earlier, improving coordination, and creating clearer control across execution.
Many delays begin as small blockers such as missing approvals, late materials, access constraints, sequencing clashes, or outstanding clarifications. If these constraints live only in meeting notes, they are easy to lose. Digital tools such as look-ahead planning and constraint logs make blockers visible, assigned, and tracked until closure so that intervention happens earlier.
A structured Change Order / Variation workflow also helps bring control to project changes. It captures what is changing and why, which areas and plans/specifications are impacted, the time and cost impact, the approval authority, and the final decision. Digitally, this creates a clear history from request to review to approval to implementation, reducing confusion and protecting commercial position.
Late approvals, incomplete documentation, and weak delivery checks often become downstream defects and replacement delays. Digitising material approvals and delivery inspection records helps ensure only compliant materials enter the works, and issues are identified before they affect installation.
Rework remains one of the biggest threats in construction. Structured QA/QC inspection checklists, defect and snag tracking with verified closure, and commissioning readiness checks help reduce late-stage quality surprises. Instead of quality becoming a handover fire drill, it becomes part of daily execution.
Construction has traditionally been slow to adopt new technologies. As a technology leader working closely with developers and contractors across the region, how do you see leadership mindsets evolving when it comes to embracing digital transformation on construction sites?
Construction has traditionally been slow to adopt new technologies. As a technology leader working closely with developers and contractors across the region, we see leadership mindsets becoming more practical and more execution-focused. The shift is from “Which tool should we buy?” to “What discipline do we need to enforce on site?”
Historically, adoption has been slowed by the fear of slowing site teams down, the difficulty of aligning subcontractors, and the belief that projects are too unique to standardise. What is changing now is the recognition that inconsistent execution controls create higher costs than standardisation, especially when leaders are managing multiple projects with tighter governance and higher scrutiny.
Projects can no longer depend on a few experienced people to hold everything together. Leadership increasingly wants consistent execution across teams and subcontractors, even when site resources change. As a result, there is growing demand for processes that are repeatable, with clear ownership, structured approvals, evidence captured at the point of work, and verified closure.
It is therefore becoming less about “going digital” and more about enforcing reliable workflows. Adoption succeeds when workflows are simple, mobile-friendly, and aligned with daily routines. If tools add effort without clear value, teams will bypass them. That is why template design, including triggers, required fields, and evidence capture, matters as much as the platform itself.
Looking ahead, how do you see technologies like AI, predictive analytics, and automation further transforming construction project management?
Looking ahead, technologies such as AI, predictive analytics, and automation are likely to have the biggest impact when they reduce manual follow-up and help teams act earlier. Their value, however, depends on having structured, consistent project data, which is another reason execution discipline and standardised templates are so foundational. This is becoming even more relevant in the UAE, where the national UAE Strategy for Artificial Intelligence 2031 is aimed at boosting government performance and embedding AI across priority sectors, while Dubai’s Economic Agenda D33 seeks to raise productivity by 50% through digital transformation and innovation.
If inspections, defects, non-conformances, constraints, and approvals are recorded consistently, analytics can identify patterns such as recurring defects by trade, bottlenecks in approval cycles, or increasing safety observations in specific zones. These predictive insights allow teams to intervene earlier, before delays or rework begin to escalate.
Automation can further improve project management by routing approvals to the right roles, escalating overdue inspections, generating reports from structured records, and triggering corrective actions based on inspection outcomes. This reduces administrative overhead and improves consistency without asking teams to do more.
The ability to quickly find the right record when it is needed is a common challenge. AI can help teams locate RFIs, approvals, and inspection records for a specific location, summarise change history, and highlight what is open versus closed. This supports faster decision-making and reduces ambiguity across stakeholders.
The key point is that AI accelerates teams that already have disciplined workflows and reliable data. Without that foundation, its value remains limited.
In this sense, digital transformation is reshaping construction execution in Dubai by strengthening clear approvals, verified inspections, controlled change, and traceable records linked to objective evidence. The Construction Site Templates Playbook was developed to help teams standardise these control points and apply them consistently, so projects can reduce ambiguity, improve compliance confidence, and deliver with greater predictability across construction and real estate portfolios.
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