Tech Interviews
Cloudera’s Vision for Hybrid Data and AI Future
Exclusive Interview with Charles Sansbury, CEO, Cloudera
- 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.
- 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.
- 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.
- 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.
- 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.
Tech Interviews
Unlocking ROI: How Sovereign AI Platforms Accelerate Innovation
Exclusive Interview with Kevin Dallas, Chief Executive Officer, Enterprise DB
You interviewed more than 2000 senior executives across 13 countries about how they are planning for a genetic AI world. Why a genetic AI and why now?
Well, first of all there’s a large economic opportunity around AI. We forecast to be $16 trillion by 2030, and there’s about a trillion dollars that’s going to be spent in the area of AI over the next 12 months alone. So, every enterprise, every nation is investing in AI.
And when we say AI, there’s different types of AI. There’s generative AI, genetic AI, physical AI, and the time is now for that investment. You’re seeing it in the event today where many companies are making investments across the AI spectrum.
What is the data and AI sovereignty, and what happens when enterprises make it a mission-critical part of their strategy?
Well, to be able to actually run these intelligent applications, there is a need for a sovereign data and AI platform from EDB, Enterprise DB, our partners, NVIDIA, RedHat, and Supermicro. And with this new sovereign platform, we hope to deliver our customers the platform that they need to drive rapid innovation around these new AI applications.
Data sovereignty is gaining increased attention globally in the Middle East and the surrounding markets. How is EDB ensuring compliance, trust, and performance in your deployments?
Well, first of all, we’re finding that in this survey, it was very interesting, 95% of respondents are investing in a sovereign data and AI platform over the next three years.
And what they’re seeing is real benefits. They’re seeing two to three extra the velocity in terms of building out AI applications, and they’re seeing a five-fold increase in ROI. So, this is driving a lot of attention around this space.
Now, from an EDB perspective, we are delivering a standard sovereign data and AI platform that accelerates our customers to market. So, it’s a plug and play platform that resolves the security issues, compliance issues, and regulatory challenges that our customers have in a plug and play way.
How important is the UAE or the GCC region for EDB? Can you tell us about your corporate strategy in the GCC and how that aligns with the regional’s national agenda?
Well, what we found is that the biggest investments globally in sovereign data and AI are actually happening here in the region, in the UAE. There is a national vision that’s been set around open and around sovereign data and AI.
So, we’re very aligned in terms of our approach here. And the region, it’s very much like a Silicon Valley of sovereign data and AI, where there’s a lot of rich discussion around new use cases that our partners and our customers want to enable today versus tomorrow. So, it’s here and now in the region.
Looking ahead, six to 12 months from now, what is your message to the enterprises, governments, and other organizations who are considering or already on the AI journey?
I think in the next six to 12 months, focus on building your own sovereign data and AI platform. By doing this, it’s going to have a fivefold increase in your ROI and certainly increase your velocity to market.
But there is also, I think, a misconception. When we talk about sovereign, we talk about the benefit of secure, we talk about the benefit of compliance and regulatory requirements. Meeting those criteria, in some cases, can be viewed as slowing down the rate of innovations.
The opposite is true with our platform. By using a platform that has this capability built in, you’re able to accelerate your time to market.
How does EDB Postgres AI support data sovereignty in practice?
From a sovereign data and AI platform perspective, there are five key criteria that our customers need in the platform. One, open source based. This guarantees interoperability, access to talent, and it avoids vendor lock-in. This is something that even at a national level is important, open source based.
Second, the need to support multiple workloads, transactional, analytics, and AI workloads on one unified platform. Not three, but one. Third, there’s a need for a low-code, no-code application development environment. An environment that accelerates your time to market, an environment that democratizes AI for all.
So, you don’t have to be a developer, you can be a business decision maker and still create applications. Fourth, there needs to be a single pane glass view across the estate so you can monitor, secure, and drive compliance and meet those regulatory requirements across your entire estate. And then last, but by no means least, you need to be able to deploy in a hybrid fashion, meaning it’s not all about running workloads in the cloud.
You need to be able to run workloads on-prem, in the cloud, or in a dedicated system. So Sovereign is really those five things. It’s the ability to deploy in a hybrid manner.
It’s the ability to view your estate through a single pane of glass. It’s the ability to be able to run in a rich and dynamic low-code, no-code app environment, run multiple workloads, and of course, being open source.
Tech Interviews
Regional Enterprises Lead Global Push for Data and AI Sovereignty
Exclusive interview with Kash Rafique, Vice President and GM Middle East and Africa, Enterprise DB
What are your top priorities and what do you want the region to see from EDB that’s new and different at this year’s GITEX?
I think certainly from a messaging point of view, there’s no doubt that sovereignty is the new intelligence on how we move forward in this market. I think what we’re seeing is that our customers are looking for speed, they’re looking for control of their data within their boundaries, and this is making a big difference really to customers and enterprises in the region. I think that’s where we come in as a trusted player, a partner in the region.
What you’re seeing here at the stand today at EDB is really an alignment of that, the immersive experience here we’re giving to our customer to help them understand some of the solutions that we’re able to provide so far as speed is concerned, control of their data within that sovereignty realm is really something that we are showcasing here.
Can you walk us through to the Sovereignty Matters report, which is quite interesting. What are the biggest takeaways for local enterprises?
First of all, I think we should be very proud, of UAE and the Kingdom of Saudi Arabia, because really they’ve come on top of a global report across 13 economies, across 2,000 enterprises, right the way across the globe. I think what is really appealing or revealing from the report is that 17% of organizations in this region are deeply committed to both data and AI, and this is a significant amount. Compare that to what we are seeing globally, which is 13%, or compare it to the UK, which is 10%, this is significantly higher.
It shows real intent and focus on the sovereignty areas, and I think that’s a big thing. The other thing that we see is the 5x return that enterprises are getting from that commitment that they’ve made. I think this is also very, very testimonial on the kind of return that we’re able to see from the sovereign AI solutions that clients are adopting in this region.
And the third one is 2 ½ x are very confident that they will be leading their industries within their respective areas within the next three years. I think this is a fantastic finding. Again, I think the region should be very, very proud of these results.
How is EDB preparing to lead and support its customers through your local office?
So, the local office is there as a hub to support a very important omnichannel of our business here, and that is related to the partners, the alliances, and the ISVs that are regionally based. The office will be used for workshops, training, engineering, and client innovation centers that we’re planning to build as we move through this year.
We certainly looking forward to is building our relationships even further with key partners such as NVIDIA, IBM, Supermicro, Red Hat, and also many of our local partners. We call them our boutique partners, but they’re also equally important. So, from this perspective, it’s a very important base for us.
It provides a hub, it shows investment, and it shows real commitment in the sovereignty space that we’re actively involved with here in the region.
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.
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