Tech Interviews
Riverbed Launches AI-Powered Intelligent Network Observability Solutions
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:

“With our next-gen xx90 systems and software advancements, we’re giving customers dramatically higher performance and unmatched efficiency. Riverbed IQ is powering smarter observability with AI insights, while Flex simplifies deployment and protects long-term investments.”
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
Tech Interviews
Digital Sovereignty in Practice: What It Means for Enterprises Today
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.
Tech Interviews
SCALING PRACTICAL AI FOR RETAIL GROWTH IN THE GCC
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.
Tech Interviews
Sennheiser: Beyond Hardware, Toward Seamless Integration
Exclusive Interview with 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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