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Tech Interviews

Cloudera’s Vision for Hybrid Data and AI Future

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Cloudera

Exclusive Interview with Charles Sansbury, CEO, Cloudera

  1. As a leader in hybrid data platforms, how do you envision Cloudera’s role evolving in the next 3-5 years, particularly as AI adoption accelerates globally? What key trends are you anticipating, and how are you preparing to address them?

As a leader in hybrid data platforms, Cloudera’s role will evolve in three key areas over the next 3-5 years. First, we are seeing a shift as organizations come to the end of their cloud contracts, many of which have not delivered the expected outcomes. This leads to a move back towards hybrid or on-premise environments, and Cloudera is uniquely positioned to support this transition with our true hybrid architecture. We offer the flexibility to operate across public cloud, private cloud, and on-premises infrastructure, ensuring companies can optimise costs, maintain control over their data, and achieve greater operational efficiency.

Secondly, as AI adoption accelerates, the demand for skilled professionals such as data scientists is increasing, bringing enhanced observability and transparency to AI systems. This will empower executives to make more informed, data-driven decisions. At Cloudera, we are focused on accelerating enterprise AI by integrating these capabilities into our platform, ensuring AI is operationalised effectively to drive tangible business value. Lastly, we enable modern data architecture by helping organisations build a scalable and secure infrastructure that supports the growing complexity of data-driven decision-making in real time.

  1. With Generative AI taking center stage in various industries, what is Cloudera’s long-term strategy for ensuring that organizations not only implement AI effectively but also scale it responsibly across different markets, including the Middle East?

With Generative AI taking centre stage in various industries, Cloudera’s long-term strategy is centred on ensuring that organisations implement AI effectively while scaling it responsibly across different markets, including the Middle East. We believe a hybrid approach is essential for AI deployment, especially in complex regions like the Middle East, where businesses need the flexibility to deploy on any cloud platform or on-premises infrastructure. Our recent acquisition of Verta has further strengthened our foundation of capability and confidence in this area, giving us the tools to ensure that AI can be deployed effectively across diverse environments.

We are also focused on the responsible scaling of AI, recognizing the importance of governance and observability to maintain control and transparency. By integrating AI capabilities within our hybrid platform, we enable organizations to adopt AI in a way that drives real value while ensuring that it aligns with their broader business goals. This approach ensures that businesses, regardless of their location or infrastructure, can scale AI responsibly and reap the benefits of this transformative technology.

  1. Cloudera operates in a highly competitive global landscape. What differentiates your approach to data and AI compared to other major players in the space? How do you see these distinctions playing out in key growth markets such as the Middle East?

Cloudera’s approach to data and AI is differentiated by our commitment to true hybrid flexibility, enterprise-grade security, and open-source innovation. Unlike many competitors focusing solely on cloud-native solutions, we offer a **hybrid data platform** that allows organisations to seamlessly operate across public cloud, private cloud, and on-premises environments. This flexibility is critical for enterprises looking to optimise costs, maintain control over sensitive data, and meet complex regulatory requirements, particularly in regions like the Middle East, where data sovereignty is often a top priority.

Another key distinction is our emphasis on open-source technologies, which allows our clients to avoid vendor lock-in and maintain control over their technology stack. This open, modular architecture enables organisations to build and scale AI solutions customised to their unique needs, ensuring they can leverage their data’s full potential.

These differentiators are critical in key growth markets such as the Middle East, where there’s a strong push for digital transformation and AI adoption. Our hybrid and multi-cloud capabilities align with the region’s need for flexible, secure, and scalable solutions that can be deployed across any environment. As AI adoption accelerates in sectors like finance, healthcare, and government, Cloudera’s ability to offer end-to-end data management and AI-driven insights will ensure that organisations can innovate responsibly and gain a competitive edge in these rapidly evolving markets.

  1. The Middle East is investing heavily in AI and data as part of its economic transformation. How does Cloudera’s vision align with the region’s ambitions, and what role do you foresee for the company in enabling these nations to meet their long-term digital transformation goals?

Cloudera’s vision aligns seamlessly with the Middle East’s ambitions for AI and data-driven economic transformation. By emphasising trusted data and hybrid data management, Cloudera provides a robust platform to manage and secure large volumes of data, which is essential for Middle Eastern nations aiming to leverage AI for decision-making and innovation. Our hybrid approach, which combines cloud and on-premises infrastructure, ensures flexibility and control, addressing the region’s need for scalable and secure data solutions.

Cloudera also supports the operationalisation of AI and analytics, helping organisations convert unstructured data into actionable insights, which aligns with the region’s goal to become a leader in AI. Through strategic partnerships with global tech giants and initiatives like **EVOLVE24**, we foster a collaborative ecosystem and empower local talent, ensuring that Middle Eastern nations can meet their long-term digital transformation and economic diversification goals.

  1. From a leadership perspective, what are the major challenges you foresee for businesses globally as they attempt to leverage AI and big data? How does Cloudera plan to address these challenges to help businesses in various sectors stay competitive and innovative?

Data privacy and security remain top concerns, particularly with increasing regulations like GDPR and CCPA. Cloudera addresses this by offering robust security features, including encryption and compliance tools to ensure regulatory adherence. Additionally, data integration and management across diverse environments can be complex, but Cloudera’s hybrid platform seamlessly integrates on-premises and cloud data, offering a unified data view.

Scalability is another challenge as data volumes grow, and Cloudera’s platform is designed to scale with business needs without compromising performance. Moreover, with the talent and skills gap in AI, Cloudera invests in training and certification programs, while simplifying AI deployment to make it accessible. Finally, Cloudera helps operationalize AI with end-to-end solutions for data preparation, model deployment, and monitoring, ensuring businesses can fully leverage AI to drive innovation and maintain industry competitiveness.

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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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