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How Structured Cabling Powers the AI Revolution

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CommScope

By Ehab Kanary, CommScope Infrastructure EMEA, Emerging Markets Sales VP

Artificial intelligence (AI) is making waves across various industries, from transforming the way movies are made to revolutionizing the financial sector and beyond. This explosion in AI technology has led to a rapid rise in data centres, which are crucial for handling the massive amounts of data AI generates. But behind the scenes of these advanced AI systems, there’s an often-overlooked player making everything run smoothly: structured cabling.

So, what exactly is structured cabling? Think of it as the backbone of your data centre’s connectivity. The term “structured” emphasizes its organized and efficient nature. It refers to a standardized approach for designing and installing cabling systems that meet international standards while being adaptable enough to support future generations of AI hardware.

In an AI data centre, structured cabling typically involves connecting IT equipment using high-performance optical fibre and Cat6A copper. This setup is vital for maintaining high-speed data transmission and flexibility as technology evolves.

Now, let’s clear up any confusion: structured cabling isn’t the same as direct attach cables (DAC) or active optical cables (AOCs). These are used for point-to-point connections but don’t offer the same flexibility. They need to be replaced whenever AI hardware port speeds change, which can be costly and less eco-friendly.

As AI continues to grow and integrate with technologies like 5G, IoT, and edge computing, data centres are becoming the “factory floor” of this digital revolution. This growth highlights the need for a strong, scalable cabling system to keep up with the increasing complexity of AI networks. And that’s where structured cabling comes into play—providing the reliability and adaptability needed to support these advancements.

High-Speed Data Transmission

The sheer volume of data that AI servers produce is so large that the high-bandwidth and high-speed capabilities provided by a solid optical fiber structured cabling system becomes essential. In the Middle East, where data center capacity is expanding rapidly to support the burgeoning digital infrastructure, the high-bandwidth and high-speed capabilities provided by a solid optical fiber structured cabling system are essential. For instance, cities like Abu Dhabi, Riyadh, and Dubai are investing heavily in their data center complexes to accommodate the high-speed requirements of AI operations.

It’s not just the fiber itself, but the connectivity that connects the patch panels to the ports on the switches and servers. The type of speeds used (400G / 800G / 1.6T) are predicted to run mainly over parallel optics (where multiple fibers are presented in a single connector), with connector options like the MPO-16 connector and MMC-16 connector. 

Due to these higher speeds, we are now seeing the introduction of angled physical connectors (APC) for multimode MPO connectors—in addition to those we’re used to seeing deployed on single mode MPO connectors.

Scalability, Flexibility, and Speed of Deployment

What do we know about AI? Network speeds are constantly changing, and it feels like it’s happening on a daily basis. 400G and 800G are a reality today, with 1.6T coming soon. Just a few years ago, who would have believed that it was possible?

Network speeds are constantly evolving, and the Middle East is no exception. With data center capacity in Saudi Arabia set to more than quadruple and significant investments from regional and international players, structured cabling offers the scalability and flexibility needed to adapt to these changes. This is crucial in a region where rapid deployment and adaptability are key to maintaining competitive advantage in the tech sector.

Structured cabling offers the type of scalability and flexibility needed to accommodate these speed changes and the future growth of AI networks. Being able to add new hardware to an AI network without overhauling the entire cabling brings significant advantages in saved cost and time.  And in an industry where timelines are being continually squeezed, structured cabling enables speed of deployment through efficient techniques that can help the underlying infrastructure to adapt easily to meet future needs.     

Minimized Downtime

AI networks are finely tuned for optimal performance. Training an AI model can take days, weeks or even months. A well-architected structured cabling network can bring the type of reliability that training requires. Understanding where your cables are running and the IT packets dependent on them can minimize AI network downtime and assist in troubleshooting.

CapEx/OpEx Efficiencies

Whilst the initial outlay for a structured cabling system may be greater than those for point-to-point or direct attach/active optical cable configurations, the structured cabling approach delivers economic advantages over the longer term by reducing the time required to perform network upgrades.

In the Middle East, where large-scale data center investments are booming, such as the $10 billion data center initiative announced by Saudi Arabia and the UAE’s focus on creating AI hubs (with a $100 billion AI fund), structured cabling can prove its worth by reducing the need for costly rip-and-replace operations. As the region positions itself as a leading player in the global data center market, efficient and cost-effective infrastructure is vital.

Ultimately, structured cabling can reduce the need for expensive rip-and-replace operations to meet the evolving challenges of the IT department.    

Structured cabling might often be an overlooked component when building an AI data center, but it is crucial to the overall success of these technological endeavors. In the Middle East, where data center development is booming and technological ambitions are high, structured cabling supports the high-speed, scalable, and reliable infrastructure necessary for AI operations. As the region continues to evolve as a digital powerhouse, the foundational elements of data center design will play a key role in shaping its future.

Tech Features

Leading Enterprise Systems Through Smart Integration

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IT professionals in formal attire working together around a cloud dashboard and server racks, with holographic interfaces showing connection diagrams and performance metrics.

Exclusive Interview with Bibin Varghese & Jins Alex, Managing Partners, Hedges Information Technology LLC

Enterprise systems integration is more than just linking hardware; it’s about forging trust-based partnerships, delivering tailored solutions, and providing ongoing support. In this exclusive interview, Bibin Varghese and Jins Alex, Managing Partners at Hedges Information Technology LLC, share how they steer complex integrations in the UAE market.

What Sets You Apart in Enterprise Systems Integration?

Bibin Varghese:

At Hedges, we’ve always believed that technology alone doesn’t drive value—relationships do. What sets us apart is our commitment to building long-term partnerships based on trust, agility, and results. We don’t operate as just another vendor; we become embedded in our clients’ growth journeys. Every solution is tailored to the client’s unique environment, backed by deep technical expertise, and approached with complete ownership. That’s why clients across sectors rely on us not only for today’s needs but as future-ready advisors.

Technology Partners Fueling Enterprise Systems Integration

Jins Alex:

Over the years, we’ve curated partnerships with leaders like Bitdefender for next-gen cybersecurity, Synology for scalable backup and storage, and Dell and HP for robust infrastructure. Post-implementation, our managed services include proactive system monitoring and both remote and on-site support—because for us, support isn’t an afterthought, it’s a strategic commitment.

UAE Trends in Enterprise Systems Integration

Bibin Varghese:

Enterprises here are embracing hybrid digital ecosystems—mixing cloud and on-premises infrastructure for agility and compliance. To stay ahead, we integrate Dell and HP enterprise servers, Synology storage solutions, and Bitdefender security into a unified stack that underpins our client’s digital transformation initiatives.

Cybersecurity Integration: Securing Your Enterprise Systems

Jins Alex:

Cybersecurity is a business-critical function. We deploy Bitdefender’s AI-powered threat detection, Synology’s structured backup, and secure Dell/HP hardware to build multilayered defenses. In the UAE, the shift is from reactive to predictive security—automated threat response, integrated monitoring, and real-time threat intelligence are the next frontier.

Cloud Integration Strategies for Enterprise Systems

Bibin Varghese:

Cloud is now core to digital strategy. We guide clients through readiness assessments, strategy, migration, and long-term governance across public, private, and hybrid environments. Our cloud offerings leverage our OEM partnerships and a dedicated services team to ensure cost control, scalability, and security.

Sales Literacy in Enterprise Systems Integration

Jins Alex:

While not every sales rep must be deeply technical, a solid grasp of AI, cybersecurity, infrastructure, and cloud is essential. Our sales professionals translate technical value into business impact, enabling them to have meaningful conversations with CIOs and CTOs and ensure smooth, aligned implementations.

AI-Driven Enterprise Systems Integration

Bibin Varghese:

We treat AI not just as a tool but as a differentiator. From Bitdefender’s AI threat detection to Dell’s intelligent servers, we help clients map out use cases, manage change, and make AI actionable, turning abstract concepts into real business value.

Startup Collaborations in Enterprise Systems Integration

Jins Alex:

We work with startups in health tech, logistics, e-commerce, and fintech, providing secure, scalable IT foundations from day one. The most exciting verticals in the UAE are AI-driven applications, sustainable technologies, and digital finance—areas where robust integration can make all the difference.

Find out more on Digital Magazine Technology – The Integrator

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Tech Features

Artificial Intelligence and the Future of Education

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A modern UAE classroom where students use tablets and an AI-powered smart board displaying personalized learning modules, guided by a teacher.

By Stewart Monk, Senior Vice President and General Manager, International at PowerSchool

AI in education is revolutionizing how we learn, teach, and manage classrooms. By embedding adaptive platforms, personalized feedback systems, and data-driven insights into every lesson, schools can empower students, streamline administration, and uphold ethical best practices from day one.

AI in Education: Real-World Implementation

Empowering students to become AI creators rather than passive consumers is essential. The UAE’s initiative to integrate AI into the national curriculum equips learners with skills in data analysis, algorithmic thinking, and software development, preparing them for a future where AI drives industry innovation. Early exposure fosters digital literacy, ethical reasoning, and hands-on project design that bridge theory and practice.

Schools are already transforming through tools like adaptive learning platforms, personalized feedback systems, and advanced data analytics. These innovations streamline administrative tasks, tailor instruction to individual needs, and free educators to focus on student engagement and mentorship.

Ethical AI in Education

With a majority of educators advocating early AI education, ethical considerations must be front and center. Protecting student data through secure, in-house AI deployments and enforcing strict access controls are best practices. Addressing bias requires vendors to share training data for third-party audits and continuous system monitoring to ensure fairness and inclusivity.

AI in Education as Your Study Buddy

AI isn’t just a buzzword—it’s becoming an integral part of the educational experience. In a recent UAE-based study, 86% of students said they use AI tools for academic tasks, and over half rely on them weekly for things like summarization, brainstorming, and coding assistance. Tools like the “All Day TA” from the University of Toronto—now adopted by nearly 100 universities globally—answer thousands of student queries per semester, showing us what’s possible when tech meets educator.

Ensuring AI Assists, Not Replaces

AI’s integration into grading, lesson planning, and operations lets teachers devote more time to creativity, critical thinking, and relationship-building. Educators also need robust AI literacy training to understand limitations, ethical use, and the necessity of human oversight.

The Future of Artificial Intelligence in Education

AI promises a dynamic, efficient, and responsive education system—personalizing learning, supporting teachers, and addressing equity. Thoughtful implementation, grounded in ethical principles and continuous oversight, will ensure every student stays on a path toward academic growth and long-term success.

Read more about smart learning in MENA in our article Beyond the Blackboard: The Arab World’s Leap into Smart Learning (Digital Magazine Technology – The Integrator)

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Tech Features

Role of EdTech in MENA region: How Online Education is Enhancing Future Readiness of Workforce

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a tablet with an AI agent portrayed in on the screen placed on a table alongside papers, pencils and a cup of coffee - all depicting AI-powered online education
By Vikraman Poduval, CEO of Saal.ai
a portrait of Vikraman-Poduval, CEO of Saal.ai
Vikraman Poduval, CEO, Saal.ai

The EdTech industry in the Middle East and North Africa (MENA) region is undergoing rapid expansion. The regional online education market is projected to reach a value of USD 1.31 billion by 2029, with a compound annual growth rate (CAGR) of 19.81% between 2025 and 2029.

EdTech plays an important role in modernising the regional education landscape as it can enhance learning experiences, Moreover, as the ongoing digital revolution raises concerns about employability and skill gaps, advanced digital learning solutions promise to drive innovation in learning, promote continuous professional development, and help foster a digitally literate workforce, aligning with the demands of a knowledge-based economy.

For instance,  Saal’s AI-based learning platform synergises the capabilities of AI and big data to create detailed skill maps for individuals, align them with target roles or desired career paths, and streamline their journey to professional success. Furthermore, online educational platforms help optimise the search for the right talents, by maintaining a comprehensive skill and occupation-based database, a competency mapping engine, leadership development modules, and robust mechanisms for aggregating data from diverse systems.

UAE’s role as a key driver of the regional EdTech revolution

The UAE stands out as a trailblazer and a true pioneer, catalysing the ongoing growth of the regional online education industry, through its groundbreaking initiatives such as the recent decision to make AI a formal subject in the national curriculum. This makes the UAE one of the first nations to integrate AI as an integral facet of its foundational education framework.

This strategic decision is poised to help develop a robust local talent pipeline, by developing AI literacy at an early age and building a self-sustaining ecosystem consisting of future developers, and engineers. It will also help equip learners with critical thinking and technical skills, which are necessary to succeed in a tech-centric world. This exemplary strategic endeavour also provides a practical model which the rest of the world can aspire to emulate, highlighting the nation’s enduring commitment to innovation and positioning education as the cornerstone of broader economic transformation.

In such a scenario, there is a need for smart, scalable platform which promote competency-based education using AI algorithms that can tailor content, assessments, and learning paths in real-time based on student needs. Such advanced systems also feature unique capabilities like AI-powered learning companions, intelligent feedback and progress monitoring, real-time risk detection and predictive analytics to guide timely intervention.

Furthermore, these tools enable learners to consistently enhance market-specific skills, while gaining powerful insights via behavioural tracking, cohort analysis, and content effectiveness metrics. Institutions can leverage these tools to ensure improved student outcomes, optimised teaching strategies, and better alignment with industry demands. Advanced AI learning platforms also automate routine academic tasks and integrate multilingual AI chatbots that answer student queries and flag knowledge gaps, enhancing institutional efficiency and elevating the learner’s experience.

AI-powered learning: Key to nurturing a future-ready workforce

In the MENA region, there is a growing disconnect between education and job market needs, led by rapid digitalisation and economic diversification efforts. To ensure that the regional educational sector can keep pace with evolving market demands, it is vital to prioritise competency-based, personalised learning. For instance, ‘AcademyX’, Saal.ai’s flagship AI-powered competency development platform designed for educational institutions, government bodies, and enterprises, can create personalised learning journeys based on user profiles, performance trends, and evolving industry requirements. Such platforms also support national efforts to enhance employability, promote lifelong learning, and foster a digitally fluent, innovation-driven workforce. It also enables educational institutions to identify learning gaps as early as in the first semester, empowering educators to initiate timely interventions and ensure improved academic outcomes, engagement, and retention.

Such a holistic approach is critical to making sure that educational goals and outcomes are aligned with broader market requirements so that students gain practical skills which can enhance their employability and future readiness. Saal.ai’s ‘DigiXT’ platform plays a vital role in this regard as it empowers both learners and educators to work with real-world datasets, while familiarising them with industry-grade tools, AI research capabilities, and cloud-based analytics environments.

Though EdTech holds the potential to transform the MENA region’s educational landscape, it is essential to address key challenges like access, affordability, and quality. Furthermore, it is vital to understand the role of AI in promoting personalised feedback and interactive methods. By embracing AI-powered online education as a tool that complements traditional education, the regional education industry can catalyse its growth, while achieving improved learning outcomes and greater educational equity.

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