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From Diaspora Intelligence to AI: Unilever International’s Data Revolution

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Aseem Puri, CEO of Unilever International, smiling in a professional headshot. He is wearing a grey blazer over a navy blue button-down shirt. Behind him is a light wood-paneled wall featuring the white Unilever logo and a decorative bed of vibrant green moss.

Exclusive Interview with Aseem Puri, CEO, Unilever International

  • How is Unilever International using data and analytics to bring underserved and overlooked consumer groups into the center of your decision-making?

Many of the consumers we serve are invisible to conventional market structures, which are usually built around large, well-measured countries and mainstream shoppers. At Unilever International, we have turned that around by defining “underserved consumers” as our starting point: immigrants, global aspirers, and consumers in SMILE (small, island, landlocked, extreme) markets, who are often overlooked by traditional business models – and our business approach is specifically designed around these consumers.

Data analytics is central to our operations. We pull information from SAP, Salesforce and other operational systems into a single digital backbone, so shipment flows, customer orders, distributor stock and sales performance are visible in one real-time view across business functions. Alongside this, we use digital and social listening tools to understand what specific communities are searching for, watching and discussing, and we route those insights directly into innovation, portfolio and media decisions.

That is how we picked up emerging home-care rituals in Korea which inspired the Snuggle room spray and indoor dry range, now accounting for roughly 10% of the country’s fabric softener market. The same logic applies to partnerships: our role in building the ICC women’s cricket platform for brands such as Rexona and Dove was based on data on women’s sports viewership, participation and fandom, particularly in markets like India and the UAE. In this way, our investments are tied to real participation for girls and women and to growth in whitespace markets, not just to media reach.

  • Diaspora consumers behave like distinct micro-markets with their own preferences. How are you using predictive modeling to anticipate their needs before they emerge?

For Unilever International, diaspora consumers are not a marginal audience; they are one of our largest growth engines. We serve more than 500 million diasporas across 40 SMILE markets, with a strong presence in the Gulf. We treat each major diaspora as a micro-market, with its own set of preferred brands, formats and seasonal or festive peaks.

Our predictive models combine migration trends, remittance flows where these are available, historic consumption patterns, and digital search and social signals to forecast how, when and where demand is likely to appear. As a result, we do not wait for an out-of-stock alert before acting.

For brands such as Bru, Lady’s Choice and Rafhan, we use forward-looking algorithms to shape assortment and route-to-market for South Asian and Middle Eastern communities in hubs such as the UAE, the UK and Australia.

From the shopper’s perspective, the benefit is simple. When they arrive in Dubai or London, the brands and pack sizes they recognise from home are already available in store or online, such as Ramadan, Diwali or Eid, because our models have anticipated those peaks rather than reacting after the seasons.

  • Digital integration and data sharing are becoming standard across retailers and e-commerce platforms. How have these partnerships evolved for Unilever International in the UAE?

In the UAE, we have purposefully moved our relationships with retailers and e-commerce platforms away from purely transactional interactions towards shared value creation. By integrating sell-in and sell-out data feeds into our digital systems, we can see, almost in real time, how diaspora and expatriate shoppers are buying across modern trade and online channels.

This shared visibility allows us to co-create category strategies with key partners. Together, we tailor shelf layouts for Indian, Filipino or African shoppers in specific catchment areas, align promotional calendars to their festive occasions, and optimise e-commerce cut-off times so that late-night orders can still arrive the following day. Data sharing help both parties to reduce waste, avoid duplicated inventory and execute innovations with much shorter and more reliable launch windows.

Our role in brokering platforms such as ICC women’s cricket, announced at a festival in Dubai, also gives our customers access to high-energy brand properties. We then activate these jointly across stores, e-commerce and social channels in the Gulf. This creates a closed loop between data, media and execution that is grounded in the lived experience of UAE consumers, rather than driven solely by internal planning cycles.

  • AI adoption is accelerating across supply chains and consumer insights. How is Unilever International using AI to create real value for underserved consumers while enabling faster, smarter growth?

We see AI as a strategic teammate that extends the capability of our people rather than replacing them. Our AI Hub in Singapore co-ordinates how tools are deployed across demand sensing, supply chain and marketing, and human resources. We are moving from isolated experiments to integrated systems that connect marketing, supply chain, finance and resourcing data so that decisions can be made jointly and in real time.

For underserved consumers, the impact is very tangible. AI-driven demand sensing and container optimisation help us keep shelves stocked and navigate complex routes without relying on a single corridor, even when there are disruptions such as the Red Sea crisis. AI-powered social listening highlights niche behaviours, for example Koreans using fabric fresheners as room sprays or searching for indoor drying solutions. These insights led to new Snuggle formats tailored to local needs, which gained share quickly.

We also have a documentation centre of excellence to manage end-to-end paperwork for new and existing product entries. We have partnered with a tech startup to develop an AI-optical character reading programme that supports import and export processes, and optimises container loads with 100% accuracy.

All AI activity is guided by Unilever’s Responsible AI Policy, which requires transparency, human oversight and the ability to challenge decisions in every use case. This balance between speed and responsibility allows us to unlock growth without compromising trust.

  • In many emerging markets, data is often limited or incomplete. How do you build a reliable, tech-enabled decision-making system in these environments to ensure accuracy and speed?

Many of the countries we serve, including small islands, landlocked states and conflict-affected territories, do not generate the rich, structured data sets that larger markets enjoy. Instead of waiting for perfect information, Unilever International has built a “good enough to act” decision system that deliberately combines different sources of insight.

We integrate shipment data from our SAP backbone, distributor sell-out data where it can be secured, digital shelf and pricing information, and social listening. We complement this with qualitative insight from local teams, NGOs and institutional partners. In SMILE markets such as rural Laos or East Timor, we overlay container-level visibility so that we can see precisely where goods are located, how long customs processes are taking and where real bottlenecks are forming.

AI-enabled tools help us to close the gaps. We use proxy indicators to forecast demand and plan scenarios to test potential price and promotion moves. Human judgement, particularly from local partners, remains central. Our digital backbone ensures that decisions are fast, repeatable and auditable, even in highly challenging environments.

  • Leading a tech-driven organization requires both vision and adaptability. What personal leadership principle has shaped the way you guide Unilever International through digital transformation and fast-moving markets?

The principle that has influenced my leadership most is empathy combined with decisive action. Unilever International delivers products to nearly every country in the world, barring sanction markets, which means our teams work across a wide range of cultures, regulatory environments and infrastructure conditions. If I do not genuinely understand what motivates colleagues, customers and consumers on the ground, even the strongest digital strategy remains abstract.

At the same time, I believe in empowering our teams to experiment and fail forward. This mindset, supported by data and AI, allowed us, for example, to build a direct-to-consumer platform in 100 days and to scale collaborations such as the IHG bulk-amenities partnership, which removes hundreds of tonnes of single-use plastic annually while giving travellers an improved yet sustainable Dove experience.

We embed this way of working through our “digital identity” approach, where leaders explicitly carry digital responsibilities within their titles and objectives. This makes it clear that technology, AI and data are not the concern of a separate specialist team. They are part of how every leader at Unilever International serves underserved consumers and grows the business with both speed and responsibility.

Tech Interviews

Digital Sovereignty in Practice: What It Means for Enterprises Today

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3D illustration of a complex digital circuit board with interconnected microchips, processors, and data pathways, representing advanced IT infrastructure and smart technology solutions by Hedges Information Technology

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.

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        Tech Interviews

        SCALING PRACTICAL AI FOR RETAIL GROWTH IN THE GCC

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        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.

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        Tech Interviews

        Sennheiser: Beyond Hardware, Toward Seamless Integration

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        Exclusive Interview with Fadi Costantine, Sales Manager – Business Communication, Middle East at Sennheiser

        A professional studio headshot of Fadi Costantine, Sales Manager for Business Communication (Middle East) at Sennheiser. He is smiling and standing with his arms crossed against a plain white background. He has short, salt-and-pepper hair, wears glasses, and is dressed in a dark navy blue suit with a white collared shirt. The Sennheiser logo is visible in the top left corner.
        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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