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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

Riverbed Launches AI-Powered Intelligent Network Observability Solutions

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Riverbed

By Riverbed Communications Team

Riverbed, a global leader in AIOps for observability, has launched its latest AI-driven network observability tools. These new solutions help IT teams proactively detect and resolve issues faster. As a result, organizations gain improved visibility, quicker remediation, and lower operational costs across hybrid environments.

Why Riverbed Network Observability Stands Out

Modern enterprise networks are becoming more complex. To meet this challenge, Riverbed’s latest tools provide real-time, AI-powered insights. The release includes the xx90 appliance series for AppResponse, NetProfiler, and Flow Gateway. These systems offer up to 3x more performance than previous models.

In addition, Riverbed now offers these tools through Flex Subscription. This flexible model supports deployments across physical, virtual, and cloud infrastructure. It also improves cost predictability and maximizes IT value.

Riverbed IQ Essentials: Remediation at Speed

As part of this launch, Riverbed is introducing the Intelligent Network Observability Essentials bundle — a curated set of tools designed to surface root causes faster and enable proactive remediation.

Included in the bundle:

  • Riverbed IQ: A SaaS-based AI engine that pinpoints network issues without additional infrastructure.
  • Role-Based Workspaces: Unified dashboards that deliver context-rich packet, flow, and endpoint visibility.
  • Grafana Plug-In: Integration for users who want to visualize Riverbed metrics directly within existing Grafana dashboards.
  • Topology Viewer: A dynamic visual map that correlates network topologies with application and user performance.

This bundle supports faster triage and deeper insight across distributed and hybrid networks, making it easier for IT teams to operate efficiently at scale.

Flexibility Meets Simplicity with Riverbed Flex

Today’s enterprises require technology investments that adapt to evolving business needs. Riverbed Flex delivers that flexibility with:

  • -License portability across hardware, virtual, and cloud deployments
  • -Predictable operating costs through OPEX-based pricing
  • -Future-ready architecture that eliminates the need to re-purchase software during transitions

By decoupling software from infrastructure, Flex allows businesses to realign observability investments with growth, resilience, and innovation goals — without compromising on value.

High-Performance Architecture, Built to Scale

To match the performance requirements of modern networks, Riverbed has engineered its new xx90 series appliances to support uncompromised throughput for both packet and flow-based observability. Whether deployed for AppResponse or NetProfiler, these appliances deliver high-volume capture and analysis — with sustained packet capture at over 50 Gbps and modular storage scaling beyond 2.4 PB.

New updates also include:

  • -Real-time triage of encrypted IPSec ESP traffic
  • -Support for cipher hygiene and globally distributed environments
  • -3x faster reporting and 2x greater flow throughput
  • -Dynamic flow load balancing and full support for SD-WAN environments

Together, these capabilities give organizations full-fidelity data visibility — essential for delivering seamless digital experiences.

Delivering Value and Efficiency at Every Layer

Dave Donatelli, CEO of Riverbed, highlighted the strategic vision behind this major release:

Dave Donatelli photo

This sentiment reflects Riverbed’s ongoing commitment to reducing tool sprawl, simplifying network management, and empowering IT teams with AI-enhanced capabilities that drive efficiency at scale.

A Foundation for the Future of Observability

As digital demands continue to rise, Riverbed’s intelligent network observability solutions are positioned to help organizations adapt, scale, and thrive. By integrating hardware innovation with AIOps automation, and offering a modern licensing model, Riverbed delivers a platform that meets enterprise needs today — and evolves with them tomorrow.

Whether it’s accelerating incident response, maintaining user experience, or optimizing hybrid cloud performance, Riverbed’s latest release proves that observability isn’t just about monitoring — it’s about enabling smarter business decisions.

Make sure to check out the recent edition Digital Magazine Technology – The Integrator

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Tech Interviews

Local by Design: The Untold Advantage Behind the Middle East’s Most Trusted Platforms

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Arab tech executive presenting ride-hailing data in a Dubai office

By Khaled Nuseibeh, CEO of Hala

In today’s digital world, global platforms often dominate headlines. Yet in the Middle East, a different success story is unfolding—one led by home-grown innovation. Local platforms in the Middle East aren’t trying to catch up. They’re rewriting the playbook.

The Rise of Local Digital Platforms in the Middle East

Platforms rooted in their own communities see what others miss. They understand the silent signals of everyday life—the way people move, pray, celebrate, and adapt to seasons.

Taxi demand, for instance, spikes after Friday prayers, not just during morning rush. Families shift their travel patterns during Ramadan. During the scorching summer, shaded areas and malls become primary destinations. You won’t find these insights on a global dashboard—they come from living them.

Built-In Context: Why Localisation Wins

Being close to the ground gives local platforms a major edge. In a city like Dubai, it makes a difference whether you’re navigating Deira’s tight alleys or Downtown’s wide streets.

At Hala, we designed our model around this insight. Our “location snapping” project improved over 60,000 pickup and drop-off points—faster routing, fewer errors, and better experiences for both riders and captains.

Operational Excellence Through Cultural Intelligence

We don’t wait for problems to escalate. Our team spotted supply gaps caused by standardised captain shift times. So, we adjusted schedules to better match demand during peak periods—without compromising captain wellbeing.

Because we operate locally, we can act quickly. We don’t need to wait for head office approvals across time zones. We just fix what needs fixing.

Aligning with UAE Policies and National Vision

The value of localisation goes far beyond convenience. Increasingly, it aligns with national priorities. The UAE’s commitment to smart cities, sustainability, and economic diversification offers a clear framework for innovation—and regional players are best positioned to deliver on that.

For instance, just last month, Dubai launched a new initiative to award more government contracts to domestic manufacturers. The Ministry of Industry and Advanced Technology also partnered with major retailers to boost visibility for locally produced goods.

These policies reflect a deeper truth: sustainable progress must be built from within. At Hala, founded as a public-private partnership between the RTA and Careem, this philosophy isn’t just a talking point—it’s how we operate.

Community-First Tech: A Blueprint for Scalable Growth

Trust is earned in the street—through consistency, reliability, and cultural relevance. That’s why both Hala and Careem Plus have kept support operations in-country, tailored our features to reflect the needs of UAE residents, and continually invested in tech that reflects local behaviours.

When localisation is built into your business model—not added as an afterthought—you can adapt faster, deliver more impact, and align seamlessly with both policy and community expectations.

Whether it’s refining geo-location accuracy, rethinking shift schedules, or rolling out financial services that matter to users here, local digital platforms in the Middle East are shaping a new era of tech leadership.

The Path Forward: Growth Built on Relevance

This region is young, mobile-first, and ambitious. People here aren’t just looking for functionality—they want platforms that reflect their identity, speak their language, and understand their context.

And increasingly, localisation isn’t a limitation on scale—it’s the blueprint for sustainable growth. The Middle East is not a monolith, and its cities are not interchangeable. Platforms that understand this will not only serve their markets better—they will lead them.

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Tech Interviews

Why TWO99 is Rethinking Cloud Marketing with Compliance, Data, and Agility

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TWO99

How does TWO 99 ensure its Cloud Security Solution remain compliant with evolving international data privacy laws like GDPR and HIPAA?

Two99’s cloud-native security solutions—including CNAPP, CWPP, and CSPM—are engineered to align with evolving international data privacy regulations such as GDPR and HIPAA through a proactive, multi-layered compliance framework. Our platforms integrate automated policy enforcement and real-time security posture monitoring to enable rapid detection and remediation of compliance deviations.

As an ISO 27001:2022 certified organization, we maintain a robust Information Security Management System (ISMS) that embeds data protection, risk assessments, and regular audits into our core operations. In parallel, our ISO 9001:2015 certification underscores our commitment to rigorous quality management processes, allowing agile adaptation to global regulatory shifts.

Our compliance team continuously monitors international privacy standards, translating insights into operational controls and product enhancements. We enforce stringent data storage protocols, including encryption of data at rest and in transit using advanced cryptographic methods, along with secure key management and policy-driven data retention and deletion.

Regular internal evaluations and third-party audits further validate our security posture, ensuring that Two99’s offerings not only meet but consistently exceed global data protection standards.

Given your background with WPP and GroupM, how has your approach to digital transformation changed since founding TWO 99?

My experience with WPP and GroupM provided invaluable insights into how large-scale organizations operate—especially in terms of process, structure, and scalability. However, founding TWO99 marked a deliberate shift toward a more agile, innovation-driven approach to digital transformation. At TWO99, we focus on vertical-agnostic scalability, bringing together technology, creativity, and performance under a unified, adaptable framework.

Unlike traditional holding companies that often operate within rigid silos, our model emphasizes speed, flexibility, and integration. We’ve built an ecosystem that allows us to pivot quickly, test rapidly, and deploy solutions that are customized to the dynamic needs of each client. This is especially critical in emerging markets like India, where consumer behaviors and platform trends evolve at breakneck speed.

Our approach moves away from isolated service offerings and instead delivers end-to-end growth strategies—from brand storytelling to performance marketing—under one roof. This integrated engine not only accelerates ROI but also empowers clients to scale more efficiently across diverse industries and geographies.

Ultimately, digital transformation at TWO99 is not about adopting new tools; it’s about building a mindset of experimentation, collaboration, and continual evolution—something that’s only possible when tech, creative, and media are not just coexisting, but co-creating.

You speak a lot about growth marketing—what’s one underused strategy or tool you believe more startups should adopt?

One of the most underutilized yet high-impact strategies in growth marketing today is predictive audience modeling—specifically using first-party data to anticipate user behavior before a customer even shows active intent. In the rush to acquire users, many startups focus heavily on performance spend and surface-level targeting, often missing the opportunity to build smarter, more efficient pipelines through data-driven foresight.

By leveraging tools like AI-powered lookalike modeling or Google’s AutoML, companies can identify emerging patterns and preemptively segment high-intent audiences. These platforms analyze behavioral signals—ranging from product interactions and website heatmaps to backend signals like GitHub commits or CRM workflows—to spot trends that traditional analytics would miss.

At TWO99, we’ve seen transformative results with this approach. For instance, by layering multiple intent signals (e.g., developer activity, trial-to-paid movement, sales pipeline stages) and combining them with Dynamic Creative Optimization (DCO), we helped a SaaS client reduce their Customer Acquisition Cost (CAC) by over 30%. This wasn’t just about targeting more people—it was about targeting the right people, at the right time, with the right message.

Startups that embrace predictive modeling early in their growth journey can shift from reactive marketing to proactive growth engineering, ultimately driving better ROI, faster time to conversion, and more sustainable customer relationships.

At TWO 99, how do you balance creative innovation with data-driven performance when leading campaigns for tech and cloud-based clients?

At TWO99, we treat data as the creative brief—a philosophy that helps us seamlessly bridge creative storytelling with performance marketing, especially for tech and cloud-based clients. Rather than starting with assumptions or generic messaging, we begin with behavioral analytics and first-party data to uncover real pain points, usage patterns, and moments of friction within the user journey.

This insight-driven approach allows us to craft narratives that aren’t just imaginative, but deeply relevant and conversion-focused. For example, if product analytics show a drop-off at the integration stage, our creative strategy might revolve around simplifying technical complexity or highlighting seamless onboarding. In this way, the campaign’s message is directly informed by what users are experiencing, not just what the brand wants to say.

We also continuously A/B test creative iterations—from copy to visual formats—to fine-tune performance in real time. For tech and cloud clients, where the buyer journey is often complex and multi-touch, this balance of data and creativity ensures that each piece of content not only captures attention but drives measurable outcomes like engagement, sign-ups, or qualified leads.

In short, we don’t see data and creativity as separate tracks. At TWO99, one fuels the other—creating high-performance campaigns that are not only intelligent but emotionally resonant.

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