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RedHat Summit Connect 2025: A discussion with Ed Hoppitt and Adrian Pickering

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Red Hat Summit

Exclusive Interview with Ed Hoppitt, EMEA Director – Value Strategy, App and Cloud Platforms at Red Hat & Adrian Pickering, Regional General Manager, MENA & Enterprise Segment Lead for CEMEA at Red Hat  

Having worked in global telecom and advised some of the world’s largest enterprises, how have these experiences shaped your approach to developing IT solutions?
Ed: I believe that designing and running operational IT over many years gives one a deep understanding of what truly matters to a customer, especially those partnering with Red Hat. This background enables me to connect with our customers on a level where they feel understood regarding their pain points. Today’s biggest challenge for enterprise IT is building systems that are predictable, replicable, and standardized—yet able to scale effectively.

When you look at what Red Hat offers and how we help enterprises build these solutions, our focus is rooted in leveraging the open source community. We invest in projects that we know will create tremendous value for our enterprise customers, taking those projects upstream, incorporating them into the Red Hat portfolio, and industrializing them into platforms such as OpenShift. Customers choose platforms like OpenShift because they represent best-of-breed choices, delivering stability, reliability, predictability, and scalability. With my operational IT background, I appreciate just how crucial these outcomes are for every customer I speak with.

This year’s Red Hat Summit focuses on curiosity and turning acquired knowledge into practical application. It’s about transforming acquired knowledge into practical applications. Through this, what key message are you hoping to leave with the audience this year?
Adrian: I view curiosity as the foundation for working with our customers to truly understand their vision—where they want to be 18, 24, 30, or even 36 months down the line. It’s about gaining a clear grasp of the business challenges they face or the new markets they wish to serve in the future. We then align our best capabilities to support them along that journey, keeping cost efficiency in mind. This might involve modernizing infrastructure, existing applications, or even building new applications that open doors to entirely new customer segments or solutions.

A great example of this is our work with the Dubai Health Authority, who were on stage at Summit Connect Dubai. When we engaged with them, we took the time to deeply understand the challenges they were trying to address for the citizens and then brought not only our technical products but also our expertise in project management, implementation, training, and knowledge transfer. I’m very proud of our achievements over the years, and I believe that in doing so, we add significant value for our customers.

Ed: To add another perspective, the most compelling conversations I have with customers often begin with discussions that don’t initially center on technology. They start with, “I want to imagine a world where things are different—where you can help me achieve something extraordinary.” For instance, with Red Hat OpenShift AI, we collaborated with the US Department of Veterans Affairs to build a platform that effectively reduced self-harm and suicide rates. By harnessing a platform that could analyze how people called in for assistance—assessing tone and how they described their situations—we helped the teams prioritize who needed immediate care versus who could wait a while for some support.

It’s when someone presents you with such a profound challenge that you really see the immense opportunity we have as an organization. These technology platforms do more than enable business; they help vulnerable people receive the care they need and, ultimately, save lives.
 
You mentioned that for Red Hat it’s relatively easy to work on new technologies because of the robust support provided by partners and customers alike. Can you elaborate on just how important those relationships are for your team?

Adrian: The point is that, while we are proud of the solutions we deliver through Red Hat, many integrated solutions require components from multiple software vendors. Our partners and integrators are essential because they bring together the various components needed to deliver, implement, and support these complex solutions. In many regions, especially where we serve multiple countries, these partners offer additional scale and reach, often accessing markets where Red Hat might not have a direct footprint. This collaboration is a critical part of why we work so closely with our partners.

Ed: Another significant benefit of having partners is that it allows Red Hat to concentrate on what we do best. We aren’t trying to solve every aspect of the IT enterprise supply chain. Instead, we work with best-of-breed partners who focus on their own areas of expertise. This means that Adrian’s teams and others in our region can focus on delivering core value to our customers. As we saw on stage, one of the Middle East’s largest banking group  was very ahead of the curve in its approach to virtualisation and modernisation. These partners enable us to help customers execute at scale and with credibility. My background in operational IT tells me that although the journey is rarely smooth, having a trusted team and partners makes all the difference.

In today’s enterprise technology landscape, where hybrid and multi-cloud environments are the norm, how is Red Hat helping customers unlock the potential of open source technologies?
Ed: For me, the hybrid and multi-cloud narrative is essentially about providing customers with standardization. Some customers might say that they’re on a path toward data center consolidation, or are committed to a single hypervisor, or even a multi-cloud strategy. But once they embrace a hybrid approach, the underlying message is that they require a globally consistent management and operational platform—one that spans multiple cloud providers, private data centers, or even edge environments.

How do we achieve this consistency in an open source manner? When you’re a proprietary company, control is tight. With our strategy, we offer customers open choice—where to run their platform and which workloads to deploy on top of it. In essence, our approach empowers customers by eliminating the risks of siloed, locked-in solutions. This freedom enables businesses to continuously ask, “What should I run, and where and how should I run it?” They consider the portfolio of applications, evaluate whether low-latency edge deployment is needed—as is common for a supermarket loyalty system—or whether a core data center or public cloud deployment makes sense. The operational “how” is addressed by determining whether to run on a container platform, a virtual machine platform, or an alternative setup. Finally, the “why” ties back to ensuring the overall solution aligns with the customer’s cost and business objectives.

Ultimately, our focus is on answering one simple question for the customer: “What should I run, and where, how, and why should I run it?” This encapsulates our commitment to providing both choice and clarity in today’s complex IT environment.


Adrian: I find it quite interesting how that perspective plays out regionally. While we enable customers to run applications on our platforms, major players like Google are also part of the ecosystem. Particularly in Europe, where there is current uncertainty, many governments are questioning whether their sovereign data should reside on a cloud service originating from the U.S. Without diving too deeply into politics, this debate is prompting customers to consider alternative cloud options. For example, when running OpenShift on-premises or on a cloud provided by a specific country, it becomes easier to migrate to a new provider if necessary. This is an evolving discussion, especially in Europe, and it’s something that might expand beyond political cycles in the future.

Ed: Exactly. In Europe, the focus remains on providing choice. With open source technology, we sidestep many political concerns because of the transparency it offers. Customers can inspect the code to see that there are no hidden backdoors or data issues. Consequently, building a sovereign solution using Red Hat technology has gained significant traction. Both governments and organizations are increasingly interested in retaining full control over their data.
 
It seems that customers also desire a degree of freedom with their platforms; they want to ensure that no external party completely controls their systems. How does Red Hat provide this assurance of complete control?

Ed: Customers can deploy our platform in either of two ways. If they run it in their own data center, on-premises. In this case, they obtain full access—they have the code, the platform, all the necessary certificates, and they manage it themselves. In contrast, if they decide to run the platform on one of the hyperscalers, while the underlying compute infrastructure is provided by the hyperscaler, the platform—the layer where the data sits and the applications operate—remains in the open source domain. Therefore, even in these cases, customers retain the ability to influence, control, and understand what happens with their data and applications. And when it comes down to it, every country and organization will make its own decisions, but our consistent message remains: our focus is on choice. Whether a company decides to run its workloads privately, on the public cloud, or at the edge, we ensure that they have the consistent tools and platforms to do so efficiently.

Adrian: That’s exactly right. We have long maintained a commitment to enabling customers to choose the open hybrid cloud. Whether a customer opts for a sovereign cloud, a hyperscaler, or their own private cloud, our core mission is to grant them the freedom to choose and to operate in a simple, consistent, and controlled manner.


Where do you see the enterprise technology landscape heading in the next three to five years?
Ed: I believe that over the next three to five years, we will witness an increasingly consolidated effort to eliminate complexity within IT organizations. Over the last decade, IT has excelled in building silos—if anything, it’s been very effective at doing so. However, with the advent of AI, these separate silos of infrastructure and data are becoming even more problematic. When your data resides in multiple unconnected silos, it becomes extremely challenging to aggregate and leverage it for AI-based insights.

In a recent discussion with a financial services industry leader, the focus was increasingly on ensuring access to all their data, democratizing it internally, and enabling AI-driven querying. This represents a paradigm shift, as data today typically lives within isolated applications. In an AI-integrated world, breaking down these silos is critical. I foresee that one of the most significant developments in the near future—driven by AI—will be the democratization of data access across organizations.

Adrian: I concur. From a regional perspective, we might be a couple of years behind more developed markets like Europe or the U.S. For instance, we are still in the earlier stages of transitioning to the cloud. In the UAE and other regions, sovereign cloud providers are just beginning to expand their offerings. Financial institutions, aviation companies, and others are now starting to embrace the cloud more aggressively than they have in the past four or five years.

Ed: Another nuance here involves what we’re exploring with Granite and small language models. Often, to help Adrian’s customers manage support tickets, you don’t need a language model that knows Shakespeare by heart. Large language models typically contain vast amounts of data, much of which isn’t directly relevant to a given enterprise. Our focus has thus shifted to a choice: do we help organizations harness AI by asking questions of data they couldn’t access before, or do we tailor solutions with smaller language models designed to address specific enterprise challenges?
One notable example was how we applied a tailored small language model within Red Hat to support our own teams in resolving support tickets. This initiative not only saved millions of dollars but also significantly enhanced customer experience and sped up response times. Over time, while large language models have captured much of the buzz, I suspect we will see rapid adoption of small, specialized language models tailored for specific functions.

Tech Interviews

Temporalism Explores How Small, Consistent Actions Can Transform a Life

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Ilia Sheludiakov’s story begins with a single decision — one that set off a complete transformation, physical, intellectual, and philosophical. He shed over 40 kilograms, trained for and completed marathons, and built businesses from the ground up. But it was in the process of rethinking his relationship with time that he arrived at something bigger: Temporalism, a philosophy built on the belief that time isn’t a pressure to outrun, but a long-term ally to work with.

At its core, Temporalism reframes time as our most valuable resource — one to be used consciously, not spent carelessly. It’s a philosophy rooted in a simple but powerful idea: small, consistent actions, repeated over time, compound into transformations far greater than any burst of intensity could achieve. Whether in health, wealth, or personal growth, Sheludiakov argues that lasting change comes not from perfect decisions made once, but from good decisions made repeatedly, with patience enough to let them compound.

Temporalism speaks to anyone who feels time slipping away too fast, or who senses untapped potential in their own ambitions but struggles to turn intention into consistent action. It’s a call to make peace with time — and to start using it as a partner in building a meaningful life.

Sheludiakov will next present Temporalism at the Sharjah International Book Fair, introducing the philosophy to a wider international audience and connecting with readers from around the world.

What is the core idea behind Temporalism?
Temporalism is about treating time as your most valuable resource and learning to use it consciously. It focuses on making better decisions today with your future self in mind, while building a meaningful life through consistent action.

How does Sheludiakov’s weight loss tie into this philosophy?
My weight loss was one of the experiences that shaped Temporalism. I lost over 40 kilograms, but the biggest lesson wasn’t about weight — it was realizing how much small actions, repeated over time, can completely change your life.

Why does he believe consistency beats intensity?
Intensity can create quick results, but it’s difficult to sustain. Consistency compounds. A small action repeated hundreds of times can ultimately have a much greater impact than a short period of extreme effort.

What role does patience play in building wealth?
Patience is fundamental. In investing and business, I try to think in years rather than weeks. Wealth is rarely created by one perfect decision; it is usually built through good decisions, discipline, and allowing enough time for them to compound.

Who is this book meant for?
It’s for people who feel that time is moving too quickly or that they could be doing more with their lives. Especially those who have ambitions but struggle to turn them into consistent action.

Where will he present the book next?
I will be presenting Temporalism at the Sharjah International Book Fair, where I look forward to introducing the philosophy to a wider international audience and connecting with readers from around the world.

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Spotlight

From AI Pilots to AI-Native: Saudi Arabia’s Next Technology Leap

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As Saudi Arabia moves AI from experimentation into large-scale deployment, Federico Pienovi, CEO APAC & MENA at Globant, explains why the Kingdom is emerging as a proving ground for agentic AI, AI-native business models and a new generation of connected experiences spanning sports, tourism, financial services and giga-projects.

Saudi Arabia is investing heavily in AI infrastructure and adoption. What is the Kingdom doing differently that could make it a global blueprint for moving AI from experimentation into large-scale business deployment?

What distinguishes Saudi Arabia’s approach is the alignment between national ambition and institutional execution. The Kingdom is embedding AI directly into the infrastructure of its giga-projects, financial institutions, and national sports ecosystems from day one. When you look at projects like Qiddiya, Red Sea Global, Diriyah, and New Murabba, these are greenfield developments where AI-native technology can be architected into the foundation rather than bolted on afterward.

Saudi Arabia is simultaneously transforming multiple sectors, tourism, sports, aviation, entertainment, real estate, and financial services, which creates a unique ecosystem effect. For instance, the world’s first Agent-to-Agent Tourism Corridor, connecting Red Sea Global and AlUla through sovereign AI destination agents, demonstrates how different entities can share AI infrastructure while maintaining data sovereignty. The Kingdom has also created conditions where global technology partners want to establish a deep local presence. Our own experience establishing a regional headquarters in Riyadh as a Center of Excellence for AI, creativity, and digital solutions reflects this pull, serious institutions want serious partners embedded alongside them, working on problems that matter at national scale.


Agentic AI is quickly becoming the next major enterprise conversation. Where are you already seeing organisations move beyond copilots towards AI agents that can independently execute tasks and make operational decisions?

The shift from copilots to autonomous agents is happening fastest where the business case is clearest and the tolerance for transformation is highest. In the Middle East, we’re seeing three sectors lead this transition: tourism and hospitality, financial services, and real estate development.

In tourism, the Agentic Tourism Corridor we’re launching at LEAP represents what we believe is the world’s first live Agent-to-Agent network, sovereign AI destination agents for Red Sea Global and AlUla that can communicate with each other to orchestrate guest journeys across multiple destinations. These are agents that can independently execute booking decisions, coordinate logistics, and personalize experiences based on real-time behavioral data.

Financial services institutions in the region, including banks like FAB, Emirates NBD, and Commercial Bank of Dubai, are deploying agentic AI that goes beyond customer service automation. We’re talking about agents that can independently manage risk assessment workflows, execute compliance checks, detect fraud patterns, and personalize customer journeys without human intervention at each step. Globant Financial Services AI Studio is specifically designed to refactor operations through agentic AI, not just add conversational interfaces.


In real estate, our PropTech ecosystem demonstrates the full agentic potential: AI agents handling lead qualification, property discovery through AR/VR, construction progress tracking via digital twins, and automated booking, payments, and service management. For giga-projects like Diriyah and New Murabba, is operational necessity given the scale and timeline ambitions.

The proof that this model works at global scale came in August 2026 when FIFA selected us to build their continuous, year-round fan experience ecosystem using AI Pods. Initial pilots showed a 20% efficiency increase in throughput generation while maintaining or improving quality. FIFA specifically described their move as embracing an AI-native, consumption-based model, a signal that major global institutions are ready to move past experimentation.

Many companies have spent years on digital transformation, yet AI is now forcing them to rethink entire operating models. What separates an organisation that simply adds AI to existing processes from one that genuinely reinvents the business around AI?

The difference lies in whether an organization treats AI as a feature or as an operating system. Adding AI to existing processes means layering chatbots onto customer service, adding predictive analytics to existing dashboards, or automating discrete tasks within unchanged workflows. Reinventing AI means changing the unit of delivery, the commercial model, and the fundamental process of how work gets done, all at once.

Technology services have moved through three eras. Traditional IT services sold labor, hours and full-time equivalents, delivered through projects, scaled by hiring more people. Digital-native services sold expertise and delivery, agile squads, human-built software with automation layered in. What we call AI-native technology services represents a third era, where the resource is people plus AI agents, delivery is agent-orchestrated, and the commercial model shifts from hours to outcomes, capacity, and tokens.

When FIFA engaged us to build their fan experience ecosystem, they didn’t ask for AI features added to their existing platforms. They embraced an AI-native, consumption-based model where they pay for outcomes rather than hours, where AI agents execute while human experts orchestrate, and where all institutional knowledge generated is secured in a proprietary token vault that FIFA owns. That’s reinvention, the entire relationship between client and technology partner has changed. Organizations that genuinely reinvent share several characteristics: they architect for AI from the beginning rather than retrofit, they measure success in business outcomes rather than technology deployment; they’re willing to change commercial relationships, not just internal processes, and critically, they maintain human expertise in an orchestration role rather than simply automating humans out of the equation. Expert supervision remains essential, anyone can prompt an AI tool, but shipping results to production requires governance, quality validation, and domain knowledge that only human experts can provide.

Saudi Arabia is simultaneously transforming sectors such as tourism, sports, aviation and entertainment through major projects. Which of these sectors do you believe could become the strongest showcase for AI-driven experiences, and what might those experiences look like over the next three to five years?

Sports has the strongest potential to become Saudi Arabia’s defining showcase for AI-driven experiences, and the evidence is already emerging. The Kingdom’s sports transformation, through the Saudi Pro League, preparations for the 2034 FIFA World Cup, and purpose-built sports infrastructure within giga-projects, creates a unique convergence of factors: massive capital investment, greenfield venues, a young and digitally native fan base, and explicit ambition to leapfrog existing global benchmarks.

What makes sports particularly powerful as a showcase is that fan experiences are inherently measurable and emotionally resonant. Through Sportian, we’ve built a single operating system that connects fan identity, behavioral data, content, venue operations, and performance intelligence. This platform already powers LALIGA clubs, the Belgian Pro League, and the U.S. Men’s National Soccer Team under Mauricio Pochettino. The Saudi Pro League represents an opportunity to deploy this at scale in venues designed from the ground up for AI integration.

Over the next three to five years, the experience could look like this: a fan’s journey begins before they leave home, with AI agents curating personalized content, managing ticket purchases, and coordinating travel logistics. In-venue, their identity travels seamlessly across every digital touchpoint, concessions, merchandise, interactive experiences, creating a continuous relationship rather than discrete transactions. Real-time performance data informs on-screen content that adapts to what individual fans care about. Post-match, that relationship continues through personalized content and engagement that keeps fans connected year-round, not just on match days.

Globant has established its regional headquarters in Riyadh and worked across several Vision 2030-linked sectors. After three years in the Middle East, what have you learned about the region that has changed Globant’s strategy, and where do you see the biggest opportunity for the company over the next phase of growth?

What we’ve learned has shaped how we operate here and influenced our global thinking. The first lesson was the speed of ambition. The timeline expectations in Saudi Arabia compress what would be multi-year transformation programs elsewhere into months. This has pushed us to evolve our delivery models, the subscription-based This has pushed us to deploy our most advanced delivery models here from the outset. The subscription-based AI Pods approach, where clients can unlock modular teams of AI agents supervised by human experts from day one, reflects where the entire technology services industry is heading globally. The region’s pace and ambition mean that clients here are among the earliest and most demanding adopters of that model, making the Middle East a natural proving ground for AI-native delivery at scale.

The second lesson was the seriousness of partnership expectations. Our client roster in the region, Qiddiya, Red Sea Global, the Saudi Pro League, represents institutions that aren’t looking for vendors. They’re looking for partners willing to stake their own reputation on joint outcomes. Every flagship client represents an institution betting its own transformation on us.

The third lesson was about talent. The Kingdom’s investment in developing local technology talent aligned with our decision to position Riyadh as a Center of Excellence for AI, creativity, and digital solutions. This isn’t a satellite office supporting work done elsewhere, it’s a hub where innovation happens.

Looking ahead, the biggest opportunity lies in the interconnection between sectors. Saudi Arabia isn’t transforming tourism, sports, entertainment, aviation, and finance as separate initiatives, these are interlocking systems that will increasingly need to share data, coordinate experiences, and operate as a unified ecosystem. The technology partner that can operate across all these sectors, understanding both the vertical depth and horizontal connections, will be positioned to support the Kingdom’s next phase of growth.

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Tech Interviews

Connected Cities, Safer Futures: The Critical Role of Communications in Smart Mobility

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As Middle Eastern cities invest heavily in smart mobility, intelligent transport systems, and connected infrastructure, reliable communication networks are becoming the foundation of urban resilience. In this exclusive interview with Technology Integrator, Thibaut Faivre, Head of MEAI Sales & Programme Delivery for Public Safety and Security at Airbus Defence and Space, discusses the technologies enabling real-time situational awareness, inter-agency collaboration, and mission-critical connectivity across the region’s rapidly evolving mobility ecosystem.

As Middle Eastern cities accelerate smart mobility and connected infrastructure projects, how important is real-time communication and situational awareness becoming for modern transportation and emergency response ecosystems?

Thibaut Faivre, Head of MEAI Sales & Programme Delivery for Public Safety and Security at Airbus Defence and Space

As Middle Eastern cities accelerate their journey toward becoming global hubs for smart mobility, the role of communication is undergoing a fundamental shift from a supportive function to the very backbone of urban resilience. For modern transportation and emergency response ecosystems, real-time communication is no longer merely about voice connectivity; it is about the seamless flow of high-capacity data. Traditional narrowband systems, while reliable for voice, cannot accommodate the digital evidence, live video feeds, and precise geolocation data that now sit at the heart of frontline decision-making. In a region defined by rapid urban expansion and high-security profiles, situational awareness means having the ability for command centres to see incidents in real time rather than reacting to them after the fact. This “resilient intelligence” ensures that as infrastructure becomes more connected, the agencies protecting it can operate with a level of clarity that matches the complexity of the environment they serve.

How could technologies such as GINA Software’s Tactical AVL and Unified Command Interface reshape the way emergency services respond to large-scale road incidents, traffic disruptions, and mobility-related crises?

The integration of GINA Software’s specialised modules into our Agnet and TETRA ecosystems represents a significant leap in how emergency services manage large-scale mobility crises. By turning complex data into life-saving action, these modules allow first responders to operate within a unified digital interface. The Tactical AVL tool provides dispatchers with granular visibility of assets and personnel, ensuring that units are deployed with maximum efficiency during major road incidents where every second is vital for clearing traffic and saving lives. Simultaneously, the Smart CAD (IMS) module supports high-level decision-making by consolidating mapping, field data, and reporting into a single interface, removing the cognitive load of managing disparate systems. Perhaps most importantly, the Unified Command Interface facilitates coordination between different agencies and networks. This reduces the communication barriers that often plague large-scale operations, ensuring that police, medics, and transport authorities are all working from a single, synchronised and common operational picture.

With connected vehicles and intelligent transport systems continuing to evolve, do you see public safety communication networks eventually becoming deeply integrated into future smart mobility frameworks?

We are seeing a definitive convergence where public safety communication networks are becoming deeply embedded into the wider smart mobility framework. The transition from legacy narrowband to mission-critical broadband (4G/5G) is the catalyst for this integration. As vehicles and infrastructure become more intelligent, the communication architecture must scale accordingly to support AI-enabled intelligence and automated workflows. For instance, AI can now be used to detect anomalies in real-time video feeds or automate resource allocation, allowing first responders and control centres to act proactively rather than reactively. This digital transformation ensures that public safety tools are not isolated silos but are instead natively integrated into the data-driven workflows of the cities they protect. By leveraging shared data rather than isolated radio channels, future smart mobility frameworks will benefit from a level of inter-agency coordination that was previously impossible.

In high-density urban environments, where every second matters during emergencies, how critical is interoperability between agencies, fleets, transport authorities, and first responders?

In dense urban environments, the speed of response is often dictated by the fluidity of information across different organisations. Interoperability between agencies, transport authorities, and first responders is a strategic priority, particularly within the Gulf Cooperation Council (GCC) region. Airbus is actively supporting this by creating gateways between respective communication systems to facilitate interstate and inter-agency collaboration. Public safety professionals operating in high-stakes environments rely on their tools to work across boundaries without friction. A smooth transition to broadband must ensure that interoperability, tactical management, and scalability are designed into the system from the outset. This allows agencies to communicate across organisations seamlessly and adjust operational priorities in real time as missions evolve. Without this level of technical and operational certainty, the benefits of high-speed data cannot be fully realised in a crisis.

As the automotive and mobility sectors become increasingly software-defined and data-driven, what role will secure communication architectures play in ensuring safer and more resilient transportation networks across the region?

As the automotive and mobility sectors become increasingly software-defined, the role of secure communication architectures is to ensure that the “intelligence” of the network never fails. Resilience in the Middle East is a unique challenge due to vast geography, the regional security threats and the exposure to climate-driven incidents, which means terrestrial networks alone are sometimes insufficient. Airbus addresses this through a layered approach that integrates satellite connectivity with terrestrial broadband. Solutions such as Agnet over Satcom ensure that mission-critical communications remain operational even in remote areas or during major disasters that disable standard infrastructure. Furthermore, for local incident scenes where network coverage might be overloaded or temporarily unavailable, tools like Agnet Direct allow teams to stay connected via off-network direct mode. This hybrid architecture, which combines the mission-critical reliability of TETRA with the high-speed data capabilities of 4G and 5G, creates a robust foundation for the next generation of secure, data-driven transportation networks across the region.

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