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
From Reactive to Predictive: How AI is Revolutionizing Cybersecurity in the Middle East
 
														Exclusive Interview with Assad Arabi, Regional Managing Director Africa, Mediterranean and CIS, Trend Micro

What are your impressions of GITEX this year?
GITEX has always been an incredible platform, but this year feels different, there’s more energy, more excitement, and a clear focus on meaningful business conversations. The engagement level is impressive, and it’s great to see the region’s digital ecosystem evolving so rapidly.
What is the current state of cybersecurity in the Middle East and Africa?
It’s getting increasingly complex. We’re seeing more AI-driven, sophisticated cyberattacks that are harder to detect and mitigate. Last year alone, Trend Micro detected around 1.35 billion cyber threats in MEA , a staggering figure considering even one major attack can disrupt entire organisation. Globally, cybercrime is projected to cost around USD 10 trillion, which is an enormous economic loss.
This growing threat landscape demands a new approach. Instead of reacting after attacks occur, we’re shifting to a predictive cybersecurity model anticipating threats before they strike. By identifying patterns and alerting organisations in advance, we’re helping them safeguard critical data and infrastructure proactively.
What key innovations is Trend Micro showcasing at GITEX 2025?
This year is special for us. Our flagship Trend Vision One platform, known as the world’s most comprehensive cybersecurity platform, continues to evolve. It integrates multiple security layers  from endpoint and server to cloud, network , data, email, IoT, and OT security — into one unified ecosystem.
The latest innovation we’re showcasing is our Agentic SIEM solution, launched just last month. Among the first of its kind globally, it leverages AI to automate rule creation, configurations, and response actions. This will revolutionise how SOC teams operate paving the way for fully autonomous security operations powered by AI.
What emerging trends are shaping 2025?
One of the most concerning trends is the rise of AI-driven threats, especially deepfakes. Attackers can now replicate voices, faces, and data to create what we call “malicious digital twins.” Imagine a video that looks and sounds exactly like you, used to deceive others , it’s a new frontier of cyber risk. We’re actively developing tools to detect and neutralise these threats before they cause harm.
How is Trend Micro leveraging AI to stay ahead of evolving attacks?
AI is central to everything we do. We’ve developed systems that not only detect but quantify cyber risk. For example, organisations receive a numerical cybersecurity score , say, 67 today and 70 tomorrow ,helping them see risk fluctuations in real time and take corrective action.
We’re also creating cybersecurity digital twins, replicating clients’ digital cyber security environment on our platform to safely simulate attacks and test resilience. This enables predictive defence and faster response.
What defines the next generation of cybersecurity?
The next era of cybersecurity will be defined by intelligence and foresight. Having advanced tools isn’t enough; you need actionable threat intelligence. It provides visibility into what’s happening, what could happen, and where your vulnerabilities lie. This shifts cybersecurity from reactive to truly preventive.
How is AI transforming the way organisations predict threats?
At Trend Micro, AI is embedded across our entire ecosystem  from endpoint and network protection to cloud, OT, and IoT security. We collect native  telemetry data into a central data lake and apply AI models and threat intelligence to correlate anomalies and detect hidden attacks.
Our proprietary Cybertron large language model (LLM) is a breakthrough. It analyses threats contextually, offering insights tailored to each organisation rather than generic alerts. It empowers security teams to identify, prevent, and neutralize threats before they materialize. This advanced level of intelligence was unimaginable just two years ago, and it’s redefining how cybersecurity protection should be perceived .
What are the biggest challenges organisations face in a cloud-native environment?
The biggest hurdle is mindset. Many organisations still use traditional security methods for cloud environments  and that simply doesn’t work. Trend Micro offers a complete cloud-native security portfolio covering applications, workloads, containers, storage, and configuration. Our attack surface and exposure management tools continuously assess cloud posture, identify risks, and alert teams before vulnerabilities are exploited.
What impact has the Trend Vision One AI Companion delivered?
The AI Companion acts like our version of ChatGPT for cybersecurity analysts. They can ask questions such as “What does this alert mean?” or “What should I do next?” and receive instant, actionable guidance or even have the system perform those actions automatically. This has dramatically reduced response times and helped close the cybersecurity skills gap, enabling junior analysts to perform at senior levels.
What sets Trend Micro apart from other cybersecurity companies?
As a Japanese company, precision and commitment are part of our DNA. For over 37 years, cybersecurity has been our singular focus. If we enter a segment, it’s because we intend to lead it.
Our leadership is consistently recognised by Gartner, Forrester, and IDC across multiple domains from endpoint and network to IoT and attack surface management. What truly differentiates us is our natively integrated ecosystem, which simplifies management, enhances visibility, increase the protection , and strengthens customer confidence.
Tech Interviews
AI is Not an Add-On, But an Enabler!
 
														In a brief interview at GITEX, Technology Integrator speaks with expert Shivdayal Charan, Director of Middle East at Torry Harris Integration Solutions on how the company is enabling digital transformation across industries through modernization, AI enablement, and connected digital ecosystems.

1. Could you give us an overview of Torry Harris, what the company does, and its core areas of expertise?
At Torry Harris, our purpose is to make digital transformation real – grounded in business logic, scalable through technology, and outcome-driven. For over two decades, we have helped enterprises rebuild the connective tissue of their businesses – modernizing legacy systems, integrating data, and creating digital ecosystems that scale.
Our expertise is at the intersection of API-led integration, cloud modernization, and digital ecosystem enablement – foundations that turn technology landscapes into agile, interoperable networks. From telecom and finance to logistics and government, we help enterprises move beyond isolated systems to unified, intelligent architectures that enable real-time collaboration and innovation.
We often say that we don’t just integrate systems; we integrate with intent. Because true modernization isn’t about technology alone – it’s about creating coherence between business vision and digital execution. That’s what allows enterprises to innovate with confidence, move at market speed, and build resilience.
Headquartered in the US, with regional offices in Dubai and Riyadh, we’re deeply aligned with the Middle East’s digital transformation ambitions – simplifying digital complexities and helping public and private enterprises translate strategy into sustained progress.
2. What is one of the company’s latest core offerings?
Our flagship platform, SMART Souq, is where AI meets ecosystem thinking. SMART Souq is an AI-powered marketplace platform that enables organizations to design and scale digital ecosystems around themselves. It connects suppliers, partners, and customers into a single fabric where data, APIs, and services flow naturally.
The platform supports hybrid engagement models (such as B2B2C and G2B2C) and enables organizations to monetize APIs, data, and services as part of a larger digital value chain. Its embedded 4Sight intelligence layer combines personalization, conversational AI, and predictive insights, while its low-code framework allows business teams to configure user journeys, onboarding flows, and monetization models without heavy engineering lift.
Today, speed defines relevance. Enterprises can’t afford to prototype for months; they must launch at market pace and refine in motion. SMART Souq enables exactly that – moving from concept to deployment in weeks, not quarters.
Take a regional bank, for instance. With SMART Souq, it can evolve from being a service provider to an ecosystem hub – integrating insurance, auto finance, mortgages, and lifestyle services – all under one digital roof. What was once a transaction becomes an ongoing relationship, renewed every day through context and connection. That’s the future of marketplaces – less about transactions, more about context.
3. Could you elaborate on the key solutions you are showcasing at GITEX this year and how they are helping enterprises accelerate their digital transformation journeys?
This year at GITEX, we are prioritizing what we call the three levers of digital momentum – modernization, intelligent automation, and connected ecosystems.
Modernization is where agility begins – taking what’s already working and making it cloud and AI-ready. It’s not about starting over; it’s about starting smarter. Done right, modernization renews the core, embeds intelligence, and creates the conditions for speed and scale. It’s how banks cut release cycles, how cities deliver digital services, and how governments move from efficiency to experience.
Intelligent automation builds on that core. Through APIs and integration frameworks, we create a digital nervous system – a fabric where data, workflows, and partners move securely and in sync. When systems speak a common language, business starts to move as one.
And when that foundation is in place, ecosystems begin taking shape. SMART Souq turns these internal capabilities into external opportunities – enabling enterprises to co-create and monetize APIs, data, and services through a larger value network.
Modernize the core – Connect the fabric – Monetize the flow. That’s how transformation stops being a plan and becomes a pattern – one that organizations can repeat, refine, and scale.
3. Artificial Intelligence is a major focus across industries today. How is Torry Harris integrating AI into its offerings, and what value does this bring to your clients?
AI has moved from experimentation to expectation. The real question now is – how do enterprises embed it meaningfully, not just visibly?
At Torry Harris, AI is not an add-on but an enabler that runs through our entire portfolio. Our AI Factory helps enterprises industrialize adoption – combining automation, data pipelines, and decision intelligence into a single operational fabric. The goal is simple: measurable outcomes, not model counts. Efficiency that shows up in metrics, prediction that shows up in decisions, and personalization that enhances experience.
Our 4Sight analytics engine turns raw data into foresight. It learns from operational patterns, customer behavior, and market signals – helping enterprises anticipate demand instead of react. You can see this clearly in SMART Souq – its AI engine continuously learns from interactions, predicting needs and optimizing engagement in real time. In real estate, it might infer buyer intent; in logistics, it might optimize partner routes. AI here doesn’t replace human intuition but augments it.
And through our Agentic AI Services, we extend that intelligence across the enterprise, embedding it into operations, testing, integration, and decision systems. The result is AI that’s pragmatic, governed, and aligned to business rhythm, not hype cycles.
4. Could you share an example of a recent project where Torry Harris helped an enterprise modernize or integrate its systems, and what measurable impact it delivered?
A recent example I can reference comes from our work with NBQ – a leading regional bank that needed modernize its integration landscape for agility and scale – without dismantling what already worked.
We implemented a secure API management layer that unified systems and created real-time data exchange across the bank’s ecosystem. The results were tangible – 45% improvement in operational efficiency, 30% reduction in integration costs, and partner onboarding time cut from three days to one. More importantly, NBQ could launch new digital services 40% faster – a critical edge in a market where speed defines customer experience.
But the real change wasn’t technical; it was behavioral. NBQ stopped managing systems and began orchestrating outcomes. Teams moved faster, experiments carried less risk, and innovation  turned from being occasional to repeatable.
Tech Interviews
How Unifonic Intelligence is Transforming Customer Experience in Saudi Arabia
 
														Exclusive Interview with Ayman Hamdan, Co-founder of Unifonic

- How does E3 Customer Experience Conference showcase innovation and advance Saudi Arabia’s digital transformation goals?
The E3 Customer Experience (E3CX) Conference plays a crucial role in advancing Saudi Arabia’s digital transformation by serving as a dynamic marketplace where innovation, policy, and technology converge. For Saudi organisations, the event offers the opportunity to explore real-world solutions, moving beyond abstract concepts to evaluate validated use cases and production-ready technologies. It brings together key stakeholders, including vendors, system integrators, government agencies, and enterprise buyers to collaborate on critical issues such as compliance, integration, and security.
Crucially, the conference supports Saudi Vision 2030’s emphasis on secure, locally governed digital services and a growing domestic software as a service (SaaS) ecosystem. It enables partnerships between platform providers, local cloud operators, telcos, and system integrators that address national priorities like data residency. For policymakers and regulators, E3CX provides a neutral, insight-rich platform to observe market capabilities, refine regulatory frameworks, and accelerate public-sector procurement. Sessions focus on operational readiness and business impact, including service-level agreements (SLAs), security, pilot-to-production timelines, and demonstrable return on investment (ROI).
By bringing together technical teams, buyers, and regulators under one roof, the conference shortens procurement cycles, fosters collaborative problem solving, and ensures that digital initiatives deliver measurable economic and social outcomes. Ultimately, E3CX is where Vision 2030’s digital ambitions are translated into scalable, impactful services for the Kingdom of Saudi Arabia.
- Where do you see CX in MENA in three years?
Over the next three years, customer experience (CX) in the MENA region will shift from being a set of separate channels to a smooth, ongoing conversation that follows customers wherever they are. Mobile messaging and voice will become the primary means of engagement across discovery, purchase, and support. Companies that treat these conversational journeys as a key part of their revenue strategy, rather than just support tools, will be the ones that succeed. AI will move beyond small tests to full-scale use, helping personalise interactions in real time while also meeting local regulations. This will result in faster responses, fewer false positives, and more localised customer experiences.
At the same time, Arabic-first design will become essential. Businesses that focus on dialect accuracy and culturally relevant design will see better engagement and conversion. Moreover, CX success will be measured by more than just satisfaction scores; business leaders will look closely at how chat and messaging contribute to revenue, customer retention, and cost efficiency. Data residency and local regulations will also play a bigger role in how companies choose their technology partners as governments and large enterprises will prioritise vendors that can demonstrate local hosting, audit logs, and clear data governance. While automation will handle routine tasks, skilled human agents will still be needed for complex or emotional conversations. Finally, CX will increasingly become tailored by industry, with sectors like banking, aviation, and government developing domain-led playbooks for conversational automation, featuring specialised models, compliance patterns and measurement frameworks. Thus, early adopters are poised to win procurement and set an example for others to follow.
- With Vision 2030 shaping the SaaS market, how is Unifonic enabling better CX for Saudi businesses and public sector buyers?
With Vision 2030 driving the transformation of the software as a service (SaaS) market in Saudi Arabia, Unifonic is uniquely positioned to enable better customer experience (CX) for both Saudi businesses and public sector buyers. The growing demand for SaaS solutions in the MENA region is fuelled by the rise of new digital models, and Vision 2030 has further accelerated this by emphasising the need for secure, locally compliant, and scalable digital services.
Unifonic meets these demands by offering a unified conversational platform designed for production from day one. Our technology prioritises Arabic-first experiences, ensuring conversational journeys resonate across different dialects and feel natural to users. This focus on language and cultural relevance reduces friction, increases engagement, and drives higher conversion rates across customer acquisition and support workflows. For the public sector and large enterprises, we have adopted a collaborative go-to-market approach that includes joint pilot design, clear key performance indicators (KPIs), and quick iteration cycles. This enables stakeholders to validate the platform’s impact before committing to scale.
On the ecosystem front, Unifonic works closely with local cloud operators, telecommunications companies, and system integrators to integrate seamlessly with existing infrastructure and accelerate deployment. We also invest in developer programs, training initiatives, and accelerator partnerships to nurture local talent, directly supporting Saudi Vision 2030’s objective of job creation.
Unifonic operates at the intersection of language, compliance, and production readiness. We empower Saudi organisations to move their conversational projects beyond experimentation into scalable, measurable services that improve both citizen and customer experiences, fully aligned with the Kingdom’s digital transformation, economic growth, and workforce development goals.
- What is Unifonic Intelligence?
Unifonic Intelligence is the AI engine that powers the Unifonic customer engagement platform. It brings together four key modules: the AI control centre for governance and oversight, AI chatbot for customer-fa cing virtual agents, agent copilot to assist human agents in real time, and a content creator with marketing recommendations to automate and personalise campaign messaging. Together, these components empower businesses to deliver faster, smarter, and more personalised customer experiences.
What sets the platform apart is its underlying AI framework, which uses a retrieval-augmented generation approach to ensure responses are grounded in the customer’s real data and up-to-date enterprise knowledge. We carefully evaluate and select leading open-source large language models (LLMs), optimising them for Arabic dialects and region-specific intents. This results in conversational AI that not only understands local nuances but also delivers factually accurate interactions. Early adopters can expect enhanced engagement, improved customer satisfaction and better business decisions through data-driven insights.
- How does the partnership with Humain and Groq enable this platform and what does it mean for customers?
Our partnership with Humain and Groq is both a technical and commercial enabler that strengthens the Unifonic AI Powered Customer Engagement Platform with unmatched performance, security, and scalability. Groq provides industry-leading inference hardware and performance engineering, focused specifically on inference execution, which is the critical backbone of live conversational systems. This means significantly faster model execution, lower latency, and scalable throughput, all of which are essential for delivering high-quality customer experiences. At the same time, Humain ensures that these capabilities are deployed locally, with full integration into regional compliance frameworks, and enterprise-grade operational controls across Saudi Arabia and the wider MENA region.
Groq and Humain led the development of the inference architecture, performance tuning and deployment playbooks. While Groq tuned serving layers for peak low-latency performance, Humain implemented the local hosting, networking and operational controls required by enterprise customers. This joint approach allows us to push new model variants from testing to production in days rather than months, all while maintaining full audit trails and governance that regulated enterprises require. For customers, the benefits are measurable: inference and model serving are hosted in Saudi-based environments, preserving data residency; response times are faster, improving user satisfaction and reducing drop-off; and Arabic language support is significantly enhanced because of regionally-tuned models and dialect validation.
Ultimately, this partnership gives Unifonic the infrastructure and operational foundation to deliver Arabic-first, compliant AI for enterprises across the region. At the upcoming E3 Customer Experience (E3CX) Conference 2025, we will be showcasing these engineering achievements and inviting customers to join our early adopter program to start delivering measurable business outcomes.
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