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Tech’s Big Bang in 2025: AI is the Spark Igniting a New Era

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Dell

By John Roese, Global Chief Technology Officer and Chief AI Officer – Dell Technologies

The year is 2025, and we’re witnessing the technological equivalent of the “big bang” with AI at the epicenter of how we live, work and play. Just as the universe expanded rapidly after its inception, technology is exploding into new realms, redefining industries and reshaping our future. Whether you’re a tech enthusiast, business professional, innovator or student, understanding these shifts is vital to navigating this brave new world.

The Rise of Agentic AI Architecture

“Agentic” will be the word of the year in 2025. The birth of agentic AI architecture marks a new chapter in human-AI interaction. Generative AI (GenAI) tools are evolving to enable AI agents, which are poised to revolutionize how we engage with AI systems.

In the consumer world, we’ve seen early agent approaches with virtual assistants, chatbots and navigation apps. In 2025, a new, more advanced set of agents will emerge. These agents will operate autonomously, communicate in natural language and interact with the world around them, including working in teams of other agents and humans. They will also be fine-tuned and optimized to perform assigned, specific skills, like coding, code review, infrastructure administration, business planning and cybersecurity.

AI agent systems will feature diverse cognitive, orchestration, and distribution architectures tailored to specific tasks. As complexity grows, multi-agent systems will emerge, requiring the rapid evolution of tech stacks to support agentic systems effectively.

To realize AI’s full potential and the rise of agentic architecture, enterprises must upgrade infrastructure – everything from data centers to AI PCs. This distributed infrastructure optimized for agentic AI can address security, sustainability and capacity considerations by distributing the AI workload across the entire IT infrastructure (cloud, data center, edge, and device).

Scaling Enterprise AI From Concept to Reality

Enterprises are poised to take AI from ideation to scale. Enterprise AI is simply the application of AI technology to a company’s most impactful processes in its most important areas to improve the productivity of the organization. It requires customers to answer two important questions:

  • First, what problem am I trying to solve? Developing a framework to prioritize AI efforts to the most important, impactful areas is critical.
  • Secondly, how do I solve that problem? AI solutions implemented as random projects on random tools do not scale. Instead, enterprises must determine the minimum set of AI systems needed to build a reusable and scalable AI foundation. This allows them to solve the first set of critical AI problems, and then leverage that investment to solve all future AI problems.

At Dell, for instance, our priority areas are our global supply chain, our services capability, our sales engine and our R&D capacity. Any impact on these areas results in significant ROI over other areas like HR, finance and facilities.

Next, enterprises should look at specific processes in its priority areas. For example, if process analysis uncovers an opportunity not in how salespeople interact with customers, but in how much time they spend gathering content for the customer meeting, that’s a clear AI project. GenAI can be used to automate and accelerate content discovery and creation work. In this case, the ROI is clear: shift sellers’ time back to customer-facing activities and increase revenue.

To execute prioritized projects, enterprises today have multiple off-the-shelf tools from which to choose. So, in 2025 the preferred path is to buy and implement AI tools in their private infrastructure. They can also buy tools that accelerate data modernization (data meshes, for example), and with the Dell AI Factory advancements over the past year, the infrastructure is now simple to adopt and implement.

In 2025, we have clear, repeatable approaches for prioritization and more turnkey and well-defined AI platforms and AI infrastructure options. 2025 is a year when it simply becomes easier to know what to do and how to do it when adopting AI in the enterprise space.

Sovereign AI Accelerates Global Adoption

Sovereign AI efforts are accelerating AI adoption worldwide. This concept revolves around a nation’s ability to create AI value and differentiation using its own infrastructure and data, designing an ecosystem aligned with local culture, language and intellectual property. In an era where data security is paramount, countries are opting for sovereign AI strategies and solutions, often with strong collaboration between the public and private sectors.

Instead of AI systems exclusive to governments, some countries are developing national AI resources to serve both government and local private industry, providing access to compute power and data capacity. Others are implementing a coherent national strategy where governments do not necessarily build new infrastructure but instead proactively and collaboratively co-design and encourage private industry to modernize and lead AI ecosystems.

Sovereign AI empowers nations to increase accessibility, protect critical infrastructure, drive economic growth, and enhance global competitiveness. By fostering the development of AI, it accelerates its adoption. We’re seeing growing investments directed toward infrastructure, data management, talent cultivation, and ecosystem development – and we fully expect to see this trend continue in the years ahead.

AI and the Fusion of Emerging Technologies

AI’s true potential lies in its connections with other emerging technologies. While AI itself is transformative, its impact multiplies when combined with quantum computing, intelligent edge, Zero Trust security, 6G technologies and digital twins, to name a few. This fusion creates a dynamic environment ripe for innovation and addressing existing challenges.

For instance, quantum computing in collaboration with AI will significantly impact most industries by providing the computing capability needed to scale AI to domains where classical computing struggles – likecomplex material science, drug discovery and complex optimization problems.

AI and telecom are already coming together to transform how cellular networks operate and how fundamental elements of these systems, like spectrum optimization, work. Even the future of the PC is influenced by AI, as we now see the AI PC not just as a client device but part of the end-to-end AI infrastructure. With agentic architectures, we expect to shift agents out of the data center and onto the edge or to the AI PC.  

Zero trust security and AI also are intersecting. Zero trust architectures are the best path to a better, more secure world and implementing zero trust in brownfield legacy IT is hard. In contrast, AI infrastructure is new and greenfield. We expect customers to adopt zero trust by default in new AI factories for optimal security. Given the criticality of AI, that is a good thing for all of us.

AI Becomes an Essential Skill for Everyone

AI will become an indispensable tool across professions and industries. Much like past technological advancements, AI is poised to transform the job market. Routine, task-oriented roles may diminish, but new opportunities will arise, such as software composers, AI content editors and prompt engineers.

Recent surveys reveal 72% of IT leaders identify AI skills as a critical gap requiring immediate attention. Organizations must invest in developing their workforce’s AI fluency. AI skill development will be focused on defining the AI/human relationship where AI completes more of the tasks, but people define what needs to be done. This allows professionals to focus on higher-level tasks, critical thinking and complex problem-solving.

With AI, it’s not just about the work that goes away, it’s about the new roles humans play in shaping, directing and leading AI work. AI-enabled businesses can use the evolution of the human-machine relationship to accomplish tasks in different ways and expand the art of the possible.

AI is Tech’s Grand Evolution

Just as the Big Bang set the stage for the development of galaxies, stars and planets, the rapid growth of AI is creating new opportunities, industries and ways of living and working.

As we approach 2025, we predict enterprise AI adoption will accelerate dramatically in the coming year. We’re seeing better processes, better tools and a stronger ecosystem. At Dell, our initial AI projects have scaled successfully and demonstrated the potential for ROI is real. We predict the rest of the enterprise ecosystem will quickly follow suit.

For CIOs, staying informed and adaptable will be essential. Organizations must prioritize AI fluency, invest in talent development and explore innovative solutions to remain at the forefront of this tech revolution.

The future belongs to those who can harness the power of AI. Whether you’re a business executive, tech enthusiast, or innovator, the time to act is now. The impact will be profound.

Tech Features

AI and Digital Currencies Transform MENA Into Rising Fintech Leader

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abstract representation of AI and digital currencies

By Naser Taher, Chairman of MultiBank Group

Naser Taher, Chairman of MultiBank Group
Naser Taher, Chairman of MultiBank Group

The Middle East and North Africa (MENA) region has become the leading laboratory for financial innovation, where artificial intelligence (AI), central bank digital currencies (CBDCs), and sovereign wealth fund (SWF) strategies converge to reshape global cash flows. According to the World Economic Forum, venture capital investments in MENA grew by about 33% a year from 2015 to 2023, with funding reaching $644 million in 2024. This surge reflects deliberate efforts to position the region as a fintech powerhouse for the new economy.

One of the most significant developments is the strategic collaboration between the Abu Dhabi Investment Office (ADIO) and the Trump Organization to establish an AI and Web3 Free Zone. The $6.6 billion initiative aims to attract global tech firms, AI researchers, and fintech ventures to the UAE, further cementing MENA’s leadership in next-generation digital infrastructure.

Machine learning algorithms now process trades worth billions on Saudi Arabia’s Tadawul exchange daily, while automated risk assessment systems evaluate loan applications in real time from Dubai to Riyadh. Saudi Arabia’s Financial Sector Development Program has embedded AI throughout its capital markets ecosystem as part of Vision 2030’s broader economic transformation. PwC analysis projects this technological integration will generate almost $135 billion for the country’s economy by 2030, fundamentally altering how banks manage liquidity, assess credit risk, and compete regionally.

Central banks across the Gulf have moved beyond theoretical frameworks into live testing of digital currencies. The UAE’s Digital Dirham is set to enter retail circulation through licensed banks and fintech companies by late 2025, enabling near-instant cross-border payments where traditional banking requires days and charges hefty fees. Meanwhile, Saudi Arabia and the UAE have jointly piloted Project Aber, issuing a single wholesale CBDC. 

Gulf SWFs are reshaping the region’s infrastructure landscape, no longer content with simple portfolio plays. These institutions now control $4.9 trillion in assets, with projections reaching $7.3 trillion by 2030. In the first nine months of 2024, they accounted for 40% of all international SWF transactions, deploying $55 billion across 126 deals. Notably, Abu Dhabi’s Investment Authority and Saudi Arabia’s Public Investment Fund (PIF) are increasing allocations to blockchain and digital projects. In Qatar, the Qatar Investment Authority is working through the Qatar Financial Centre’s new Digital Asset Regulations 2024 to trial real-world asset tokenization.

Alongside these public sector moves; private institutions are also innovating on a scale. MultiBank’s new Electronic Communication Network (ECN) will introduce the Gulf’s first interbank trading and prime brokerage ecosystem, linking BRICS and GCC jurisdictions. Designed to compete with Western counterparts such as Bloomberg and Reuters, it connects conventional trading desks to machine-driven order routing and the MultiBank Chain’s tokenization layer. Cross-border deals become faster, safer, and more transparent, with settlements possible in gold or a mix of currencies instead of U.S. dollars alone. By opening the door to tokenized real-world assets and other decentralized products, the network sharpens the Gulf’s bid to serve as a global finance hub.

However, important challenges remain. Fintech ventures still need to navigate a maze of rules that shift from one border to the next; a single, region-wide framework would let ideas—and capital—move faster. As more money flows online, hackers gain fresh openings, and cybersecurity becomes even more critical. And while Gulf youth embrace tech with ease, the GCC needs far more specialists who can work with blockchains, train risk models, and secure CBDC payment rails. That calls for a push on everything from university courses to mid-career reskilling.

The next breakthrough won’t come from technology alone but from how well policymakers, entrepreneurs, and the sovereign heavyweights backing them work in sync. CBDC pilots are live, AI already guides trading desks, and deep pools of patient capital sit ready to fund new ideas. If the region’s key players keep pulling in the same direction, the Gulf won’t just join the digital finance conversation—it could end up leading it.

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Tech Features

Unleash Unmatched Cyber Defense: Sophos Firewall v21.5’s Breakthrough NDR-Essential

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Colleagues collaborating around a table in a modern office, captured candidly in natural light.
Chris McCormack, Senior Product Marketing Manager at Sophos

Sophos, a global leader in innovative security solutions for defeating cyberattacks, recently announced an update to its Sophos Firewall. Now, Sophos Firewall includes Sophos NDR Essential—free for all customers with an XStream Protection license.

With this integration, Sophos Firewall leverages two dedicated artificial intelligence engines to detect malware communications and algorithmically generated domain names. This new capability, powered by the Sophos Network Detection and Response probe, identifies previously unknown threats and complements the Active Threat Response features already in place.

Sophos Connect Integrates EntraID for SSO

The VPN client bundled with Sophos Firewall now supports EntraID (Azure AD) for single sign-on. This enhancement secures SSL and IPsec VPN connections and improves user experience by adding multi-factor authentication for both Sophos Connect and the user portal.

Other VPN-related improvements include:

  1. Intuitive interface updates: “Site-to-site” is now “policy-based,” and “route-based” tunnel interfaces are renamed for clarity.
  2. Dynamic IP pool validation: Prevents address conflicts across SSL VPN, IPsec, L2TP, and PPTP.
  3. Strict profile enforcement: Excludes default IPsec profile values to ensure algorithm synchronization and eliminate session negotiation issues.
  4. Enhanced scalability: Supports up to 3,000 route-based VPN tunnels, 1,000 SD-RED site-to-site tunnels, and 650 concurrent SD-RED devices.

Additional Management Enhancements

Furthermore, Sophos has rolled out several management improvements to streamline daily operations:

Flexible IPv6 DHCP-PD: Supports /48 to /64 prefixes for better ISP compatibility.

RA and DHCPv6 server enabled by default: Simplifies IPv6 deployments.

Resizable table columns: Improves the admin interface on ultra-wide screens.

Advanced search: SD-WAN routing and local ACL rules now support name, ID, and content-based searches.

Default configuration updates: Only the default network and MTA rules are provided; custom gateway probes and rule groups default to “None.”

Secure by Design

Moreover, Sophos continues to harden its firewall platform with a secure-by-design approach. Specifically, features are containerized, and integrity checks on critical OS files use mathematical checksums—any mismatch triggers an alert. Consequently, monitoring teams can swiftly identify potential compromises and react accordingly.

Availability

Customers can download and deploy this update manually on any Sophos Firewall with a valid license.

For more on Sophos’s Middle East strategy, check out our previous coverage:
Sophos Announces Intent to Expand Middle East Operations with New Data Center in the UAE

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Tech Features

Driving the Future: How Logical Data Management Powers EV Innovation in the UAE

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EV assembly line showing virtual data dashboards and logical data management overlays.
By Gabriele Obino, Regional Vice President and General Manager, Southern Europe, Middle East and CIS, Denodo

Logical data management is revolutionizing EV production in the UAE by replacing slow, siloed systems with a virtualized data layer. Consequently, manufacturers like Seres report an 88% reduction in data delivery time, empowering on-shop-floor decision-making and accelerating Industry 4.0 initiatives.

The Rise of Logical Data Management in EV Manufacturing

Under the UAE’s Operation 300bn strategy, EV production faces surging data volumes. Traditional ETL pipelines buckle under real-time demands. By contrast, logical data management—often called data virtualization—creates a semantic layer that unifies multiple stores without replication. This approach slashes latency, reduces storage overhead, and accelerates analytics across design, production, and operations.

Limitations of Traditional Data Systems for EV Production

Legacy batch-driven data warehouses delay critical actions. In a high-stakes assembly line, even millisecond lags can compromise quality or safety. Moreover, centralized silos inflate storage and governance costs, especially under strict UAE data-sovereignty laws. Static architectures simply cannot keep pace with AI-driven analytics or digital twin simulations.

Adopting Logical Data Management for Real-Time Insights

Firstly, Logical data management platforms (Denodo) let shop-floor teams query live data instantly. For example, EV manufacturer Seres cut data delivery time by 88% and built 600+ self-service analytics apps. Furthermore, virtualized data services simplify compliance with role-based security, ensuring governed access to sensitive vehicle-PII under UAE regulations.

Implementation Strategy for Logical Data Management

1-Identify critical data sources affecting safety, cost, and sustainability

2-Pilot virtualization on latency-sensitive processes such as battery-pack assembly

3-Enforce governance policies to maintain data integrity and security

4-Train non-technical staff on user-friendly analytics tools

5-Monitor production metrics improvements to scale across the factory

Additionally, regular reviews help refine and scale each phase effectively.

Future Outlook for Logical Data Management in the UAE EV Market

Looking ahead, as the EV sector grows beyond the current US$1.8 billion market, data becomes as vital as any physical component. Therefore, by valuing data on par with hardware, UAE factories can slash defects, boost efficiency, and maintain a competitive advantage. Consequently, early adopters of logical data management will lead the next wave of automotive innovation.

For more on cutting-edge EV innovations in the region, check out our feature:
NIO’s Industry-Leading Innovations Set New Benchmarks for Intelligent Premium Electric Mobility

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