Tech Interviews
AI-POWERED CUSTOMER ENGAGEMENT, CONTEXTUAL MARKETING & MORE
Exclusive interview with Hetarth Patel, Vice President – Growth Markets (MEA, Americas, APAC), WebEngage
What role is AI playing in customer engagement in the region?
AI brings precision to moments that were previously handled with guesstimates. It identifies which customers are exploring something new, which ones are hesitating, and which ones may never return unless they’re nudged at the right time. That improves the experience without making users feel monitored or overwhelmed.
Across verticals, AI helps determine how frequently someone should be contacted, what format resonates with them, and when they’re most open to taking the next step. When communication follows the customer’s rhythm instead of the brand’s, loyalty strengthens naturally.
We are hearing more and more about contextual marketing. How would you define it in today’s Middle Eastern digital economy?
Contextual marketing in the Middle East is about recognising intent as it forms, not after the fact. Consumers in this region move quickly – comparison, consideration, and decision often happen in a single session. So brands need to respond to micro-signals in real time. When a platform can interpret these cues, the experience becomes smoother: relevant suggestions appear naturally, checkout journeys shorten, and customers feel understood without being overwhelmed. For businesses, this reduces wasted impressions and strengthens the quality of engagement. You convert the right people. The result is tighter spending, better retention, and a more predictable path to revenue.
How are customer engagement platforms evolving in the face of AI copilots and automations?
They’re becoming systems that support both momentum and oversight. Marketers in this region want recommendations, not replacements. The AI copilot element helps interpret data faster and flagging sudden behaviour spikes, suggesting audiences worth testing, or predicting where attention is drifting.
At the same time, automation has matured. Journeys can react to dozens of signals without manual input, and campaigns update themselves based on performance. This dual structure works well in markets like Saudi Arabia, where digital maturity is rising sharply. Teams get strategic clarity from the copilot, while automation handles the heavy lifting in the background.
Which technologies are proving most effective in helping GCC brands improve customer experience, ROI, and business outcomes?
The most effective setups are the ones where data moves freely. A Customer Data Platform(CDP) becomes powerful when it ingests live activity, loyalty signals, support tickets, and payment behaviour without friction. CRMs enrich that view with relationship history. Data lakes contribute long-term patterns that sharpen predictions.
What GCC brands are solving today is fragmentation. Teams get a single view of the user and can respond with confidence by connecting these systems cleanly. It also gives them the ability to test smaller ideas quickly instead of betting on broad, expensive campaigns. Better alignment across these tools results in higher ROI because every action is anchored in accurate context.
Across Saudi Arabia and the UAE, what improvements have you seen when brands move to AI-powered customer engagement and automation?
The most noticeable improvement is consistency. Brands no longer depend on campaign calendars to stay relevant, the system keeps the conversation going based on what users actually do. AI also cuts out the “one-size-fits-all” messages that used to frustrate customers across email, push, and in-app channels.
In sectors like airlines, grocery delivery, and financial services, we’ve seen repeat engagement rise simply because journeys adjust themselves. For example, a traveller exploring upgrade options receives timely details about availability rather than a generic newsletter. These small shifts accumulate and create clearer funnels, and a more efficient use of marketing time.
Could you share an example?
A recent example is NICE in Saudi Arabia, a brand with a large offline footprint that wanted deeper digital loyalty. Once their web and app activity were stitched together, the team could finally see how customers moved between browsing, carting, and store visits. That led to rethinking their journeys around intent instead of promotions.
As soon as they shifted to behaviour-led engagement – reactivating dormant shoppers, personalising recommendations, and automating recovery journeys – repeat visits rose sharply and engagement grew 148%. The improvement came from recognising micro-signals and responding early.
What is WebEngage’s long-term vision for the Middle East as brands shift from acquisition-heavy models to retention-driven growth?
Our long-term vision is to make retention operationally simple and strategically central. GCC businesses view retention as the engine that stabilises revenue. We’re building toward a future where engagement, loyalty, data governance, and service workflows sit within one connected layer.
This will allow brands to identify intent across channels, respond instantly, and measure outcomes with much greater accuracy. The goal is to help enterprises move from “sending messages” to designing relationships that last a lifetime.
How have you adapted in the face of these advancements?
Our competitive edge comes from how we operate, not what we claim. Scale, market rankings, and platform breadth matter, but they’re outcomes and not differentiators. What truly moves the needle for our customers in the Middle East is the way we build with flexible data architecture, a composable CDP that adapts to their systems rather than forcing a migration, and activation tools that work reliably at enterprise scale.
We’ve grown by treating engagement as an engineering problem rather than a marketing challenge. That mindset is what helps us scale. The idea is to make sure our fundamentals are strong enough to create the next set of milestones.
With regulations like PDPL and sector-specific frameworks in place, how essential is consent management for brands operating in the Middle East?
Consent management has become a structural requirement, especially as more industries digitise service delivery. It’s no longer about obtaining a checkbox, it’s about ensuring that user preferences flow across every system the brand uses – marketing, support, loyalty, and analytics.
In regulated categories, inconsistent consent handling can invalidate entire engagement programs. We address this by integrating with specialised consent tools so preferences update instantly across channels. Customers notice when brands respect these boundaries, and that strengthens long-term relationships.
What differentiates WebEngage in this region, and where do you see opportunities?
What sets us apart is our ability to adapt deeply to each organisation’s structure, whether it’s a fast-scaling marketplace or a highly regulated enterprise. The platform integrates into complex ecosystems without forcing data to move in unnatural ways.
Where we continue to evolve is governance, onboarding speed, and advanced modelling. The need for more precise controls and predictive capabilities increases as sectors like telecom, aviation, and financial services expand their digital footprints . We’re building tools that help teams act faster while meeting regulatory expectations with confidence.
What advancements can we expect from WebEngage in the next 12 months?
We’re now building on top of the foundations that already work well for our customers. The next phase is about reducing the effort needed to go from insight to action. After launching Insights CoPilot, we’re extending the ecosystem with Segmentation and Campaign CoPilot, and Governance CoPilot will follow. Each one is designed to shorten the path from understanding behaviour to acting on it with confidence.
In parallel, we’re deepening our machine-learning models so the system can recognise subtle behavioural shifts and adjust journeys with more nuance. The aim is to let the platform handle the operational complexity quietly in the background, while marketers focus on strategy, creativity, and the larger customer experience.
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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