Tech Interviews
How Aspen Medical is Leveraging AI to Deliver Healthcare in Crisis Zones and Remote Regions
Exclusive Interview with Glenn Keys, Founder and Executive Chair, Aspen Medical

Aspen Medical has a strong legacy in humanitarian and military healthcare. How does AI fit into your long-term vision for transforming healthcare delivery, particularly in the UAE and MEA region?
Everything we do at Aspen Medical is health-led and technology-enabled. Our existing systems, governance, training and so on, are about the delivery of high-quality and safe care wherever our clients need us. Technology, including artificial intelligence (AI) enables us to do this. At Aspen Medical, we see AI as an integral part of our strategy to reimagine healthcare access and delivery. In the UAE and broader MEA region, rapid development is creating new demands for precision, resilience and scalability in health systems. AI will enable us to meet those demands in ways that are faster and smarter, for example, embedding AI into remote diagnostics, predictive modelling and digital triage, especially in primary and emergency care settings. In the UAE, where digital transformation is a national priority, we’re aligning with initiatives like the National Strategy for Artificial Intelligence 2031. AI strengthens our capacity to deliver care that is accessible, responsive and tailored to diverse populations.
In humanitarian zones where traditional infrastructure is limited or absent, how can AI-powered healthcare solutions help close the gap in access, diagnostics, and continuity of care?
In regions facing instability, displacement or lacking basic infrastructure, AI can help overcome barriers that have long blocked access to care. Using AI-enabled triage tools, speech recognition and machine translation, language and literacy barriers are reduced whilst guiding patients toward appropriate care pathways. AI technologies that support health workers on the ground – scanning images, analysing vitals and supporting early intervention – can be embedded into mobile devices allowing deployable clinical teams to operate in even the most remote or disconnected settings. Combined with cloud-based health records, AI can ensure continuity of care across humanitarian corridors. It’s not going to be about replacing clinicians; it will be about improving outcomes where they are needed most.
Deployable healthcare is a core pillar of Aspen Medical’s work. How is AI being used to prepare healthcare professionals for unpredictable, high-stress environments such as disaster zones or military operations – and what outcomes have you seen so far?
When lives are on the line, preparation is everything. That’s why we’re working towards integrating AI into the way we train and prepare our deployable healthcare teams. Our goal is to enable clinicians and responders to experience realistic, high-stress environments ranging from natural disasters to military deployments before they ever set foot in the field. By developing AI-powered virtual reality and adaptive learning platforms, we aim to replicate mass casualty incidents, austere conditions, and trauma scenarios. This technology will allow us to track decision-making under pressure and tailor learning in real time. We’re striving to build systems that enhance response times, improve triage accuracy, and boost confidence in the field. Ultimately, we’re working towards using AI not only to strengthen operational readiness but also to reduce burnout and build psychological resilience before deployment.
What role does AI play in enhancing the efficiency and responsiveness of mobile clinics and field hospitals? How is Aspen Medical applying these technologies to support remote workforce health in sectors like oil & gas and humanitarian aid?
AI is beginning to play a supportive role across our mobile clinics and field hospitals, helping teams make better, faster decisions in complex environments. At Aspen Medical, we’re exploring how AI can assist with triage, inventory management, logistics, and reporting, always with clinicians and field experts in control. Early algorithms are helping us analyse trends in patient data and resource use, offering insights that complement, not replace, human judgement. In sectors such as oil and gas, AI tools are being trialed to identify emerging health patterns, like fatigue or heat stress, by combining wearable and clinical data under the supervision of our medical staff. In humanitarian and disaster response settings, these systems are helping improve coordination and data continuity as populations move across regions. Our focus is on using AI responsibly to enhance situational awareness and operational resilience, keeping humans at the centre of every decision that affects care.
Is Aspen Medical collaborating with governments or local health authorities to scale AI-driven solutions across the region as well as globally? What have been the most promising outcomes or lessons from these partnerships?
Yes, we are working directly with health ministries, defence forces and regulators across the UAE and other MEA countries to localise AI solutions that meet national goals. These partnerships are built on co-design: we bring our clinical expertise and global experience, and local authorities bring contextual insight and public health priorities. The most promising outcomes stem from long-term trust. When local systems are involved from the start, adoption increases and impact is sustained.
What would you say are the biggest barriers to AI adoption in healthcare today, and how can companies like Aspen Medical ensure these technologies are deployed ethically and equitably across diverse communities?
Ethical deployment is the challenge and the opportunity. AI is only as effective as the data behind it, and in healthcare, bias or poor-quality data can be dangerous – it is vital that there are strict protocols to validate every AI tool. We prioritise transparency, clinical oversight and community input. We also advocate for inclusive AI, built with diverse datasets that reflect different genders, ethnicities and disease profiles.
Looking ahead, which emerging AI technologies do you believe have the greatest potential to revolutionize healthcare? How do you see Aspen Medical’s role evolving as AI becomes more integrated into healthcare infrastructure?
We believe technologies like generative AI, clinical large language models and AI-assisted imaging will drive the next wave of transformation. Imagine a frontline clinician dictating hands-free notes, while a real-time AI scribe prepares documentation and decision-support summaries. Or an emergency responder receiving instant feedback from an AI model scanning a wound image. Our goal is to leverage federated learning so AI systems can learn from decentralised, privacy-protected data sets. This approach will be critical for delivering safe, compliant, and coordinated care across borders. Our role is to be the connector: bringing together best-in-class technology, robust clinical practice and local insight to deliver safe, smart and scalable healthcare.
Finally, as a founder, what drives your commitment to innovation in healthcare? What legacy do you hope Aspen Medical leaves in the AI healthcare space, especially in regions facing complex and urgent challenges?
Innovation is in Aspen Medical’s DNA. We started by asking: How do we deliver high-quality care where others can’t or won’t go? Today, AI gives us powerful new ways to answer that question. Vitaport, our flagship workplace health and wellbeing platform, developed by Aspen Medical, is the embodiment of that vision. Using agentic AI grounded in clinical governance to deliver personalised care, real-time insights and behaviour-shaping support. But whilst our tools evolve, our purpose remains the same: people are always at the centre. I’m driven by the belief that healthcare must be a force for equity. AI is a tool, not a destination – it helps us extend our reach, deepen our impact, and build systems that are smarter, fairer and more human. The legacy I hope we leave is simple: that we used technology not just to innovate, but to uplift. Especially where the stakes are highest.
Tech Interviews
Digital Sovereignty in Practice: What It Means for Enterprises Today
In our conversation with Ismail Ibrahim, General Manager, CEMEA at SUSE, we seek to understand the concept better along with his understanding of the industry and how enterprises in the UAE and Saudi Arabia can retain control in a rapidly evolving technology landscape.

What does “digital sovereignty” actually mean for an enterprise today, not in theory, but in day-to-day operations?
From an enterprise perspective, digital sovereignty becomes real the moment it changes what you do on a Monday morning. In practice, it means three things become operational requirements, not policy statements.
First, control over data. Not just where data is stored, but where it is processed, who can access it, and how you prove that in an audit. For many organizations in the UAE and Saudi Arabia, that is increasingly tied to sector rules, procurement requirements, and customer expectations.
You need the ability to keep sensitive workloads within national borders when required, but also to enable controlled data flows when innovation demands it. The important point is that sovereignty is not “ringfencing everything”. It is being deliberate about which data, which workloads and which dependencies must remain under your control.
Second, control over operations. Day-to-day, that looks like resilience and predictability: how quickly you can patch, how confidently you can recover, how consistently you can enforce policy across clusters, clouds and edge sites. This is where many enterprises discover that sovereignty is inseparable from operational excellence. If you cannot reliably manage your environments, you do not really control them.
Third, control over technology choices. This is where open source becomes practical, not ideological. When you build on open, enterprise-supported platforms, you are reducing dependency on opaque codebases and constraining the risk of being forced into a single vendor’s roadmap. Sovereignty is “choice by design”, because choice is what allows you to meet local requirements today and change course tomorrow.
That is why at SUSE we often frame sovereignty around pillars like control, choice and resilience, with autonomy as the long-term outcome. For enterprises, those pillars translate into everyday decisions: architecture, procurement, governance, patching, incident response and lifecycle management.
In the next three years, which will hurt enterprises more: security breaches, or being locked into the wrong technology stack?
It is not an either-or, because the two risks are increasingly connected.
A security breach is immediate and visible. It impacts customers, regulators, operations and reputation. But lock-in to the wrong stack can quietly increase breach risk over time, because it limits your ability to respond. If your architecture makes it hard to patch quickly, to segment workloads properly, to implement new controls, or to move sensitive workloads to a compliant environment, you have turned security into a dependency problem.
Over the next three years, I would say the most damaging scenario for many enterprises is not “breach versus lock-in”, but breach plus lock-in, where an organisation is under pressure and finds it cannot adapt fast enough.
This is exactly why sovereignty has moved into the C-suite and boardroom. Leaders are recognizing that digital sovereignty sits alongside cybersecurity and operational resilience as a strategic requirement. You need a risk-based approach to your data, workloads and support model, and you need the flexibility to change course.
Practically, in the UAE and Saudi Arabia, many CIOs are already building mixed environments across on-prem, sovereign cloud, hyperscalers and edge. The goal is not to avoid the cloud. The goal is to avoid a situation where strategic choices are dictated by a single vendor’s constraints. Open, enterprise-grade platforms help you keep the option to move, modernize or localize when needed, without rewriting everything from scratch.
As AI becomes embedded into infrastructure itself, do you believe enterprises are prepared to trust machines with operational decisions, or are we moving faster than governance allows?
In many cases, we are moving faster than governance, but that does not mean enterprises should slow down. It means they should modernize governance at the same pace as adoption.
The key is to separate hype from reality. “Trusting machines” does not mean handing over full autonomy overnight. For most enterprises, AI enters operations in stages.
Stage one is assistive intelligence, where AI helps surface insights, detect anomalies, recommend actions and reduce manual effort. This is where many organizations see quick operational value, especially in areas like observability, incident triage, capacity planning and security monitoring.
Stage two is bounded autonomy, where AI can execute actions within defined guardrails, such as automated scaling, routing, remediation playbooks, or policy-driven security responses. The governance requirement here is clear accountability: what is automated, under what conditions, with what approvals, and what audit trail.
Stage three is agentic operations, where more complex systems handle multi-step tasks across environments. This is the phase where governance must be mature, because the risk is not simply “wrong output”, it is unintended consequences across interconnected systems.
For the UAE and Saudi Arabia, readiness often depends on whether organisations have already done the foundations: standardised platforms, consistent policy enforcement, clean identity and access controls, and modern lifecycle management. If the foundation is fragmented, AI simply accelerates fragmentation.
This is why we are seeing strong interest in approaches that support governance by design, including the ability to run AI solutions in more controlled environments. In many regulated sectors, that includes air-gapped or restricted environments, where organizations want to adopt AI while keeping strict control of data movement and operational boundaries.
My view is that enterprises can absolutely trust AI in operations, but only when they treat trust as an engineering outcome: transparent systems, auditable controls, clear guardrails, and the ability to override. Governance is not a blocker. Governance is what makes adoption sustainable.
By 2030, will enterprises still control their infrastructure choices, or will hyperscalers and AI vendors effectively decide that for them?
Enterprises will control their choices if they design for control now. If they do not, the market will make the decision for them.
By 2030, the default buying motion will push organizations toward managed services, vertically integrated AI stacks, and increasingly opinionated platforms. That can deliver speed, but it can also compress choice, especially if your applications, data pipelines, security controls and operational tooling are tightly coupled to one vendor.
So the question is really about architecture and leverage. Enterprises that prioritise portability, standardization and open platforms will keep leverage. They can choose the right environment for each workload, based on performance, compliance, cost, and risk. Enterprises that ignore portability will find that “choice” exists on paper, but not in practice.
This is where digital sovereignty is often misunderstood. Sovereignty does not mean rejecting global technology. It means retaining the ability to make deliberate decisions about where workloads run and who controls the critical layers. Many leaders now talk about “glocal” strategies: using global innovation while maintaining local control and compliance where it matters.
At SUSE, our positioning has been consistent: open source supports sovereignty because it promotes transparency, portability and freedom from lock-in. That is not a slogan, it is a practical roadmap for keeping infrastructure choices in the hands of enterprises, not vendors.
If you had to offer one piece of advice to CIOs and policymakers in the UAE and Saudi Arabia navigating rapid digital transformation, what would it be?
My one piece of advice is this: treat sovereignty as an enabler of innovation, not a constraint, and build it into your operating model early.
For CIOs, that means starting with a clear map of your critical workloads and dependencies. Decide what must remain under national control, what can run on hyperscalers, what needs sovereign cloud options, and what requires special governance. Then standardize your foundations so you can enforce policy consistently. When sovereignty is engineered into the platform layer, transformation becomes faster, because you are not negotiating compliance from scratch every time you modernize an application.
For policymakers, it means continuing to create frameworks that encourage both innovation and trust. The UAE has taken a pragmatic approach in showing that openness and sovereignty do not have to conflict. When the policy environment supports clear requirements and predictable compliance expectations, enterprises can innovate with confidence.
And for both, there is a shared point: invest in skills and ecosystem capability. Sovereign outcomes are not delivered by policy alone, they are delivered by people, platforms, and partnerships. When you develop local talent, strengthen the partner ecosystem, and support enterprise-grade open source, you build resilience and long-term autonomy without slowing innovation.
Tech Interviews
SCALING PRACTICAL AI FOR RETAIL GROWTH IN THE GCC
Exclusive interview with Mark Turner, President EMEA, Rezolve Ai

What made Shoptalk Luxe Abu Dhabi a priority platform for Rezolve Ai this year?
For Rezolve Ai, Shoptalk Luxe Abu Dhabi brings together the right audience at the right moment. Luxury retailers in the region are no longer exploring ideas, they are making decisions and investing. It is a practical forum to exchange views with brands that are actively shaping their customer engagement and commerce strategies, and to have grounded conversations about what is working in real retail environments. Abu Dhabi also reflects how influential the region has become in global luxury thinking.
How is AI changing the way luxury retailers think about customer engagement today?
Luxury retailers are becoming far more intentional about how and when they engage customers. AI is helping them move away from broad personalisation toward more contextual, timely interactions that respect the brand experience. The focus is on supporting customers at key moments, whether online or in store, and ensuring engagement feels consistent and considered rather than automated or intrusive.
What distinguishes meaningful AI adoption in retail from short-term experimentation?
Retailers that see lasting value from AI are those that embed it into day-to-day operations rather than treating it as a standalone initiative. Meaningful adoption is driven by clear commercial goals, fast implementation, and solutions that work within existing systems and teams. Short-term experimentation tends to stall when it lacks ownership, scale, or a clear link to performance outcomes.
Why is the Middle East, and the UAE in particular, becoming increasingly important for luxury retail innovation?
The Middle East, and the UAE in particular, has created an environment where luxury retail innovation can move quickly. Consumers are digitally confident, infrastructure is strong, and there is a clear push at a national level to adopt advanced technologies. This combination allows retailers to implement and test new models at scale, which is why the region is increasingly influencing global luxury strategies.
Looking ahead, where do you see AI delivering the most value for luxury brands over the next few years?
The greatest value will come from AI that directly supports growth while reinforcing operational discipline. For luxury brands, that means more relevant engagement that improves conversion and loyalty, alongside better forecasting and inventory decisions that protect margins. The priority will be practical use of AI that enhances the customer experience without compromising brand integrity.
Tech Interviews
Sennheiser: Beyond Hardware, Toward Seamless Integration
Exclusive Interview with Fadi Costantine, Sales Manager – Business Communication, Middle East at Sennheiser

Sennheiser has leveraged its role in shaping professional audio to build strong hybrid communication products for use across business and education environments. We caught up with Fadi Costantine, Sales Manager – Business Communication, Middle East at Sennheiser, to discuss the brand’s presence at the show, its integrated product ecosystem, and the growing importance of software-driven audio solutions.
What are your most innovative products currently serving the business and education sectors?
Sennheiser operates across several business units, with Business Communication being one of our most important. This unit is entirely dedicated to the installation market, where many of our most dynamic and innovative solutions are positioned.
Professional audio is at the core of Sennheiser’s brand identity. Through our ownership of renowned brands such as Neumann and Merging Technologies, we have established ourselves as a global leader in audio communications. We leverage this expertise to develop advanced meeting and conferencing solutions that enhance business performance.
Crucially, our products are not designed to operate in isolation. They are engineered to work together as a unified ecosystem, enabling seamless communication across devices and platforms. This ecosystem approach allows system integrators and end users to design complete, end-to-end audio solutions tailored to a wide range of applications and project requirements.
Which industry verticals are currently driving demand for these solutions in the region?
While we are active across multiple verticals in the region, we have a clear strategic commitment to deliver innovative, scalable, and future‑ready audio solutions tailored specifically for the needs of higher education and the modern corporate environment.
In corporate environments, our microphone solutions are widely deployed in meeting rooms to support modern collaboration and video conferencing scenarios. In the education sector, our technologies are extensively used in lecture halls and hybrid learning environments, including classrooms and auditoriums designed to accommodate both in-person and remote participants.
A strong example is our ceiling microphone solutions. These are frequently used not only in traditional meeting rooms but also in lecture halls for audio capture, video conferencing, and recording. They are also ideal for voice-lift applications, enabling students to hear the lecturer clearly without the need for wearable microphones. This creates a more natural, seamless teaching experience while minimizing complexity for the user.
Software and integration are critical in these environments. How does Sennheiser support this alongside its hardware solutions?
Workflow optimization has always been central to our product strategy and will remain a key focus going forward.
Introducing a new era in AV Management, at ISE 2026, Sennheiser will officially launch DeviceHub, a secure, cloud-based platform designed for IT and AV managers, as well as system integrators. DeviceHub centralizes device visibility and remote management, streamlining workflows across enterprise, education, and corporate settings.
DeviceHub provides real-time insights, simplified setup, and unified control, supporting organizations in creating better spaces for communication, learning, and teamwork. Following a successful private beta, ISE marks the transition to public availability. Visitors can explore DeviceHub’s capabilities and speak directly with product experts about how it can transform their AV and IT operations.
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