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Edgecore Networks will reveal its latest open infrastructure solutions at the OCP Global Summit in San Jose and GITEX Global in Dubai, with demonstrations of next-generation AI, networking, and compute platforms designed to ease deployment and boost performance.

The Taiwanese firm plans four flagship showcases: new Tomahawk 6–based data centre switches, a proof-of-concept for co-packaged optics, its Nexvec™ turnkey AI solution, and an upgraded Nous infrastructure controller offering composable compute management. The exhibitions will take place during the week of 13 October: at the OCP Summit from 13–16 October and at GITEX from 13–17 October.

Edgecore emphasises that the Tomahawk 6 switches can deliver more than 100 Tbps of bandwidth, supporting AI cluster demands with low latency and high density. The company adds that its CPO concept demonstrates integration of optical elements directly into switch silicon, reducing power and footprint. Its Nexvec™ offering is a pre-validated stack combining open networking with GPU compute, while Nous enables dynamic allocation of GPU, memory and compute resources.

Mingshou Liu, President of Edgecore, is quoted as saying that as AI workloads accelerate, simplifying deployment is crucial, and that the firm seeks to lead in the open infrastructure community with turnkey and scalable offerings.

Edgecore’s push comes at a time when hyperscale data centre operators are under pressure to manage burgeoning AI compute demands without ballooning costs or power draws. Industry trends point to co-packaged optics, disaggregated architectures, and composable resource frameworks as priorities for the next wave of infrastructure evolution. At the OCP Summit, the AI HW/SW co-design and open systems tracks will explore modular compute, memory architectures and photonic interconnects for AI clusters.

In parallel, GITEX Global has become a high-stakes stage for showcasing AI infrastructure, especially in the UAE’s drive to scale AI capabilities and attract global tech investment. With over 45 editions, the event draws global vendors and governments presenting AI, semiconductors, networking, and startup innovation. Edgecore’s presence signals its intention to engage key markets in the Middle East, where data centre growth, AI deployment, and regional cloud expansion are strong levers.

Edgecore is not alone in spotlighting AI infrastructure at these events. Major networking suppliers, chip vendors, and cloud players are expected to present competing solutions, particularly around optical integration, disaggregation, and hardware-software co-design. Observers will closely track how well Edgecore’s offerings stack up in power efficiency, interoperability, and ease of deployment.

Within its broader strategic frame, Edgecore continues to emphasise open, standards-based infrastructure. Its public messaging highlights disaggregated networking, composable compute, and software-defined manageability. The timing of product demonstrations at both OCP and GITEX gives the company a dual audience of deeply technical integrators and regional enterprise buyers.

At the OCP Summit, Edgecore’s participation also coincides with evolving community priorities—AI, sustainability, modular compute, and photonics interconnect are central tracks. During the event, Edgecore’s representative Tim Zhou will present on simplifying large-scale “agentic AI” deployments in a session scheduled for 16 October.][5])

Dubai Airports has announced an extended 10-year strategy aimed at transforming Dubai International and Dubai World Central – Al Maktoum into the world’s most accessible and inclusive airports by 2035. The plan underscores a shift from enhancing infrastructure alone to driving cultural change, embedding empathy and user-centred design in every element of the passenger journey.

The strategy rests on three pillars: reinforcing existing accessibility frameworks, improving guest experience across every touchpoint, and elevating the airports’ status as global benchmarks in inclusive aviation. The commitment aligns with the UAE’s broader obligations to support the rights of People of Determination and Dubai’s ambition to become a disability-friendly city.

Majed Al Joker, Chief Operating Officer of Dubai Airports, emphasised that accessibility is a “core pillar” rather than a peripheral initiative. He noted that, for the first time, the airport authority is co-creating programmes with the PoD community to redesign the passenger journey from their lived perspective. The launch coincides with the debut of a public awareness campaign called “DXB for All”, which presents six narratives of travellers with sensory sensitivities, mobility challenges, hearing or visual impairments, and highlights their airport experiences.

This new phase builds on the 2022 “We All Meet the World Differently” campaign. While that initiative focused primarily on raising awareness, the current strategy delves deeper by integrating accessibility into operations, staff training, and passenger interactions. Airport operators intend to cultivate empathy across staff, travellers, and the public, encouraging all stakeholders to reframe how they engage with PoD.

To facilitate inclusive travel, Dubai Airports already provides a suite of services: a Travel Planner visual guide, the Sunflower Lanyard to signal discreet assistance, free two-hour parking, dedicated taxis, wheelchair support from curb to gate, over 520 hearing loops across terminals, and a sensory-friendly Assisted Travel Lounge in Terminal 2. These measures will be expanded and refined under the new strategy.

The initiative is being deployed through the “oneDXB” partnership network, which includes Emirates, flydubai, Dubai Police, GDIFA, Dubai Customs, dnata, Dubai Health, Dubai Duty Free, Serco, and other stakeholders. The collaborative structure ensures that airport services, security, passenger handling, health and taxi operations all align with inclusivity goals.

Challenges are considerable. DXB is already operating near capacity: in 2024 it handled 92.3 million passengers, its highest ever annual volume. That puts pressure on space, queueing, and infrastructure to adapt without undermining operational efficiency. Meanwhile, DWC is undergoing significant expansion—with a projected $35 billion investment to scale it toward handling up to 260 million passengers annually. Dubai Airports plans to shift major operations to DWC by 2032, adding urgency to ensuring that new terminals and systems are fully accessible from the start.

Cisco will unveil its latest innovations at GITEX GLOBAL 2025 in Dubai, aiming to equip enterprises across the Middle East and broader region with infrastructure built specifically for the AI era. The showcase focuses on AI-ready data centres, resilient network architectures, and strengthened security frameworks designed to support advanced workloads in data-intensive environments.

By joining the AI Infrastructure Partnership alongside BlackRock, Microsoft, NVIDIA, xAI and others, Cisco has committed to accelerating capital flows into datacentre and infrastructure projects. The partnership expects to unlock $30 billion in initial funding, scaling up to $100 billion including debt financing. Cisco brings its network, security and systems expertise to support the platform’s mission of secure, at-scale AI infrastructure.

At the heart of Cisco’s push is its new Cisco Data Fabric, launched in integration with Splunk, which provides federated data access across systems such as Amazon S3, Iceberg, Delta Lake and Snowflake, routing workloads intelligently to the best analytics or storage engine. This architecture is intended to reduce data movement, shorten analysis latency, and enable enterprises to transform machine data into AI-ready intelligence.

To support retrieval-augmented generation and agentic AI deployments, Cisco introduced the Secure AI Factory solution with NVIDIA and VAST Data. This validated architecture accelerates data extraction and retrieval at scale while enforcing security guardrails for every token processed. AI PODs built under this architecture offer pre-validated, high-performance building blocks for enterprise AI.

Networking and security are being redefined for the AI workload environment. At Cisco Live 2025, the company launched a next-generation network architecture for campus, branch and industrial environments, delivering unified management and devices purpose-built to support AI traffic patterns. It also introduced Hybrid Mesh Firewall and Universal Zero Trust Network Access to embed security into network fabric across hybrid and distributed environments. These features aim to simplify policy enforcement, improve visibility, and reduce complexity in securing both human users and AI agents.

Cisco CEO Chuck Robbins disclosed that fiscal year 2025 saw record AI infrastructure orders. In its final quarter, the company secured over $800 million from webscale clients, bringing total AI-focused orders to more than $2 billion—more than double its initial target. He described the pipeline as steadily growing into “hundreds of millions” as enterprises demand scalable, secure solutions.

In the Middle East, Cisco plans to demonstrate the regional relevance of its technologies under the theme “Make AI Work for You.” According to Cisco’s new AI Readiness Index, a vast majority of organisations in the UAE expect to expand their data centre capacity for AI within five years. The company will also present its work with Splunk on security and observability platforms at the event.

Cisco’s collaboration with Saudi Arabia’s HUMAIN is intended to build out an open, scalable AI infrastructure ecosystem aligned with Vision 2030. The multi-year programme includes deployment of cloud-based AI infrastructure, joint research initiatives, and efforts to grow local talent and innovation. The partnership underscores Saudi ambitions to position itself as a global AI hub.

Cisco sees accelerating demand for network modernisation. Its internal research reports that 97 percent of IT leaders view modernised networks as critical to deploying AI, cloud and IoT workloads, and 98 percent rate secure networking as essential for growth. However, the same study notes that only 40 percent of organisations have begun deploying advanced segmentation or intelligent control, illustrating an execution gap.

To strengthen its AI strategy, Cisco also expanded its presence in Indonesia by signing a Letter of Intent with BRIN to develop AI and cybersecurity capabilities via its Country Digital Acceleration programme. The plan includes building an AI Centre of Excellence and delivering training in AI, security and networking to 500,000 Indonesians by 2030.

Splunk’s observability portfolio itself is being reworked to embrace agentic AI, deploying AI agents to automate tasks such as root cause detection, alert correlation and issue resolution. This is intended to lighten the operational burden on IT and engineering teams while driving real-time insight.

Telecom operator du and technology vendor Nokia have completed a trial of an artificial intelligence–driven automation system aimed at simplifying and expediting the expansion and management of optical networks in the UAE.

The deployment tested Nokia’s WaveSuite AI, which combines traditional AI methods with generative models to assist du engineers with tasks such as planning, troubleshooting and documentation retrieval. The trial reportedly halved the time needed for optical network planning and produced designs 30 percent more efficient, while reducing errors during deployment.

During the trial, du’s engineering team used a single natural language interface to query live network status, access accurate documentation instantly, and simulate potential network evolutions. The system flagged possible inconsistencies or conflicting configurations early, allowing corrective adjustment before full-scale rollout. According to du, the result was faster troubleshooting, fewer manual errors and improved resource utilisation.

Saleem AlBlooshi, chief technology officer at du, said the trial “shows how innovation can transform network operations to face challenges brought on by increasingly sophisticated networks and ever-higher traffic volumes.” He emphasised that the automation of routine tasks and provision of intelligent tools would lead to more reliable, SLA-backed connectivity for customers.

From Nokia’s standpoint, Ron Johnson, senior vice president and general manager of Optical Networks, called WaveSuite AI “a demonstration of the real value of automation solutions with both classical and generative AI for optical networking.” He noted that the system reduces friction in planning, documentation search, and operational processes, and helps service providers accelerate provisioning of higher-speed, more reliable services.

The trial builds on du’s broader effort to embed AI and automation more deeply across its systems. Earlier this year, du partnered with Microsoft, Nokia, Khalifa University’s 6G Research Center and the ITU to launch an “Arabic Telecom LLM,” a large language model tailored for internal telecom operations. That model is designed to handle internal workflows, resolve device issues, process complaints and provide operational insights in Arabic and English. The initiative is part of du’s strategy to blend regional research leadership and global AI tools while retaining language and cultural fidelity in its operations.

This AI-driven automation trial comes amid growing pressures on telecom operators worldwide to scale quickly to meet surging demand for bandwidth, driven by AI workloads, data centers and new real-time applications. As networks grow in complexity, manual processes no longer scale efficiently, pushing operators into an era of closed-loop or autonomous operations. Nokia, in its public literature, frames network automation as essential to reducing manual intervention, improving performance and enabling faster service delivery across domains such as core, mobile, IP and optical networks.

In the UAE context, this trial signals du’s ambition to advance its optical infrastructure ahead of demand peaks, while benchmarking its operations for future 6G readiness. The success of automation in planning and deployment could reduce operational costs, increase agility, and support more complex services such as network slicing, ultra-low latency applications and differentiated service tiers.

Teams at GITEX Global 2025 in Dubai will put liquid-cooled AI laptops under extreme thermal stress, testing whether advanced cooling systems can uphold sustained performance in one of the world’s harshest climates. Omnix International’s HOT Systems division, in partnership with PNY, will unveil a lineup of AI workstations, liquid-cooled laptops and the new HOT Guard monitoring suite, aiming to prove that these machines can maintain stability in high ambient temperatures.

At the heart of the exhibit is the challenge posed by regional heat: daytime temperatures in Dubai frequently exceed 40 °C, while indoor exhibition halls still pose cooling constraints. For high-performance AI workloads—particularly those involving CAD, BIM and machine learning—thermal throttling can cripple throughput. HOT Systems claims its integrated cooling and hardware optimisation can circumvent that performance drop. The accompanying HOT Guard software will monitor temperatures, fan and pump behaviour and security in real time on site.

Liquid cooling is no novelty in high-density server enclosures, but applying it in portable form factors presents a tougher engineering problem. In data centres, the shift from air to liquid systems has accelerated because conventional cooling struggles to keep up with power densities above 10–15 kW per rack. Liquid systems offer reduced power use, higher thermal headroom and often reclaimed waste heat reuse. But translating that to mobile form demands compact and robust fluid paths, efficient pumps, and risk control against leakage.

Advances in chip cooling are reinforcing that liquid systems represent more than a marginal improvement. Microsoft engineers have developed a microfluidics cooling technique that embeds coolant channels within the silicon substrate itself, enhancing heat removal efficiency at the chip level. That suggests future AI hardware may increasingly rely on liquid solutions at a micro scale.

Regional data centre operators are already embracing the shift: Khazna Data Centres, active across the UAE, has rolled out the country’s first liquid-cooled AI data centre and is developing more AI-optimised campuses. The move reflects recognition that standard cooling infrastructure cannot scale profitably with AI workloads.

Technical design choices behind liquid cooling include direct-to-chip systems, which place cold plates atop CPUs or GPUs, and immersion cooling, where liquid envelops hardware. The former is more suited for modular, retrofit deployments; the latter can offer full heat removal but introduces maintenance and material challenges, especially for localised devices. A recent review in AI systems architecture emphasises single-phase direct cooling as a flexible compromise for power levels below extreme thresholds, though it demands high reliability in fluid delivery and sealing.

Within the exhibition context, the HOT Systems demo will likely emphasise sustained throughput rather than peak benchmarks. The company plans real-world workflows—such as rendering, simulation and AI model inference—to demonstrate how the cooling system maintains clock speeds under load. PNY’s involvement underlines the reliance on qualified memory, GPUs and driver support, ensuring that thermal gains translate into usable computing stability.

End-users in architecture, media, engineering and AI fields are closely watching such developments. If heat throttling can be mitigated in this climate, portable AI rigs could expand in markets previously constrained to air-conditioned labs. But adoption depends on how well the solutions resist failure under harsh dust, vibration and heat cycles inherent to Gulf environments.

iFLYTEK is stepping up its engagement in the Middle East, unveiling two flagship AI products at GITEX 2025 in Dubai as part of a broader strategy to localise its offerings and anchor its presence in the region.

The company’s showcase spans three core portfolios—AI Translation, AI Infrastructure and AI Solutions—tailored for Gulf markets, with particular emphasis on Arabic dialect support and secure deployment. Among the new offerings is the AI Translation Earbuds, designed to enable seamless multilingual communication, and the e-ink AINote 2 work device, both making their global debut at the event. The debut underscores iFLYTEK’s intent to go beyond product marketing, emphasising solutions that address regional business needs.

Vincent Zhan, Vice President of iFLYTEK, asserted that the company is focused “to deliver intelligent solutions that address real business challenges” rather than merely present tech demonstrations. The firm has already placed a local team in Dubai to oversee deployment, maintenance, and customer support. It also customised algorithms to handle multiple Arabic dialects, expecting that linguistic responsiveness will differentiate it from global rivals.

iFLYTEK’s portfolio for the event includes the Spark WallEX system, designed for intelligent space management, along with Spark Smart Blackboard and Spark GuideX. The firm says these are engineered to support a range of sectors, including education, healthcare, enterprise operations and government. Its “All-in-One AI Solution” is positioned as a secure infrastructure package for organisations seeking turnkey AI adoption.

The Middle East expansion is part of a larger international push. Outside Asia, iFLYTEK is targeting Europe, as trade tensions and regulatory pressures create incentives to diversify markets. It is reportedly planning offices in France and Hungary, with growth ambitions in Spain and Italy. In March 2025, Zhan cited tariffs in the US as influencing iFLYTEK’s decision to look more aggressively into Europe and the Gulf.

China’s AI giant also faces headwinds. It was placed on a US trade blacklist in 2019, making procurement of certain high-end components dependent on US approvals. To mitigate vulnerability, iFLYTEK has shifted many of its models to Huawei’s chip platforms. It developed its Xinghuo X1 large language model in partnership with Huawei, reportedly running entirely on domestic chips. The firm claims to have pushed chip efficiency from 20 per cent to nearly 80 per cent of equivalent U. S. hardware, though Huawei leadership acknowledges that domestic chips still lag behind by a generation.

Market observers note that iFLYTEK’s shift toward the Gulf aligns with governments in the UAE and Saudi Arabia pushing AI-first national strategies. However, the company must navigate regulatory, data residency and market competition risks. In the Gulf, local AI and language processing firms are emerging, and global players like Amazon and Microsoft are pressing deeper into the region.

iFLYTEK’s presence at major global events is integral to its positioning. In July 2025, at MWC Shanghai, it launched the Spark All-in-One AI Machine and Dual-Screen Translator 2.0—capable of handling translation across dozens of languages—to reinforce its push into enterprise AI. The company has also rolled out smart products such as the AINOTE Air 2 across Asia and Gulf markets, with strong uptake in multilingual productivity segments.

Dubai has issued Law No. of 2025 to regulate the professional practice of engineering consultancy firms, forbidding unlicensed operations and introducing a tiered classification system.

Under the law, no individual or office may conduct consultancy across fields such as architectural, civil, mechanical, electrical, chemical, geological or coastal engineering in the emirate without proper authorisation. Firms must hold a valid trade licence, register with Dubai Municipality, and submit detailed disclosures regarding their licensed scope, classification, and technical staff credentials.

A unified electronic platform, to be integrated with “Invest in Dubai,” will centralise firm registration, classification, issuance of competency certificates, and updates to consultancy qualifications.

A permanent “Committee for the Regulation and Development of Engineering Consultancy Activities” will be established under the law, chaired by a Dubai Municipality representative and comprising stakeholders from relevant authorities, tasked with overseeing implementation and resolving sectoral disputes.

The legislation classifies eligible firms into several categories: local Dubai-based companies; branches of UAE-based consultancies with at least three consecutive years of experience; branches of foreign consultancies with at least ten years of global experience; joint ventures between local and foreign players with at least a decade of consultancy track record; advisory offices led by registered engineers with a decade of experience; and engineering audit offices providing third-party evaluations.

Firms are barred from operating beyond their licence scope, hiring unregistered engineers or subcontracting to unlicensed entities. Violations can attract fines up to AED 100,000, stricter penalties for repeat breaches, suspension, downgrading classification, removal from the registry, licence cancellation, or revocation of professional certificates. Affected parties may file appeals within 30 days and decisions must be issued within 30 days, communicated within five working days.

Existing regulations under Local Order No. 89 of 1994 and its amendments will remain effective until new implementing regulations are issued, provided they do not conflict with the new law.

Consultancy firms and staff will have one year from the law’s effective date to regularise their status; extensions may be granted, and expired registrations can be renewed by committing to full compliance.

Dubai’s move mirrors the emirate’s broader legal recalibration of the infrastructure sector. In July 2025, Law No. 7 of 2025 was enacted to regulate contracting activities, consolidating prior laws and mandating registration, classification, subcontracting oversight and ethics codes across construction and engineering services. The new consultancy law can be seen as a complementary measure to ensure that consultancy services feeding into contracting projects meet defined quality and governance standards.

Industry stakeholders have expressed cautious optimism about the changes. Some consultancy firms believe the law will reduce unfair competition by eliminating unlicensed operators, thus raising standards overall. Others warn of compliance costs, especially for smaller local consultancies that may struggle to meet classification thresholds or hire adequately certified staff.

Regional and international firms see opportunity in the rule clarity and the potential to compete more transparently. Observers expect the new digital registry and classification framework to influence government procurement and tenders by favouring higher-ranked consultancies.

OpenAI chief executive Sam Altman is leading a high-stakes campaign across East Asia and the Middle East to secure investment and bolster chip supply for the company’s AI infrastructure push. He has held talks since late September in Taiwan, South Korea and Japan with leading hardware suppliers to prioritise OpenAI’s orders and expand capacity.

Altman has met with Taiwan Semiconductor Manufacturing Company and Foxconn, as well as Samsung and SK Hynix, pressing them to accelerate production and give OpenAI preferential access. In South Korea, Samsung and SK Hynix have signed letters of intent to supply memory chips for OpenAI’s data centres. Meanwhile, OpenAI plans further fundraising discussions in the United Arab Emirates.

The urgency of Altman’s mission reflects the intensifying global competition for advanced computing resources. OpenAI projects it will spend around US$16 billion this year on renting computing servers, with long-term forecasts stretching to US$400 billion by 2029 as AI models grow ever more complex.

Industry analysts note that the semiconductor supply chain remains highly constrained. TSMC dominates GPU chip production, and memory manufacturing is largely concentrated in East Asia, creating significant strategic leverage for the manufacturers approached by Altman.

As part of his tour, Altman is also pressing Japanese firms to contribute to infrastructure support. Hitachi has entered discussions to provide power transmission and distribution systems for OpenAI’s data centres, while sharing technical resources under joint development agreements.

Sources familiar with the process say Altman pushed for direct prioritisation in chip delivery schedules, asking that OpenAI receive top-tier production slots. In some cases, he proposed co-investment or co-development of next-generation AI hardware to bind partner incentives more closely.

In South Korea, early architecture proposals include planned data centres of 20 megawatts in collaboration with Samsung and SK Hynix. Altman is reportedly exploring “floating” data centre designs to manage land constraints and cooling demands.

The UAE leg of his mission is expected to involve negotiations with sovereign investment firms such as MGX and Mubadala, with the aim of funding both OpenAI’s expansion and joint infrastructure ventures in the region. In past rounds, UAE investors have already taken part in funding OpenAI operations.

Challenges remain significant. The sheer scale of chips and memory required for stacked AI model training is pushing the boundaries of global wafer fabrication capacity. Market watchers point to the high capital expenditure and long lead times in the semiconductor industry as obstacles to rapid scaling. Some of Altman’s proposals—for example, co-development of bespoke ASICs—are still in preliminary stages and face technical risk.

OpenAI’s valuation and investor backing give the company leverage. Earlier this year, it closed deals that valued it at about US$500 billion, with new capital injections from investors including SoftBank and UAE entities. Those moves have fortified its position in negotiating upstream deals with manufacturers.

World Liberty Financial, the crypto venture tied to Donald Trump’s family, has announced it will issue a debit card enabling users to spend digital assets as conventional currency, with a pilot slated next quarter and full deployment targeted by late 2025 or early 2026.

At Singapore’s TOKEN2049 conference, CEO Zach Witkoff stated that the underlying aim is to “bridge crypto assets with everyday spending,” forecasting that the card could go live in the fourth quarter or first quarter of 2026. Co-founder Donald Trump Jr. joined the presentation, underscoring the project’s ambition to integrate cryptocurrency more deeply into consumer payments.

Beyond payments, World Liberty is advancing a plan to tokenise real-world commodities, aiming to use blockchain infrastructure to trade assets like oil, gas, timber and cotton. Witkoff described these as “really interesting” domains for on-chain trading, pointing to what the company sees as excess transactional inefficiency in traditional markets. The firm also launched its governance token, WLFI, earlier this month, and has introduced USD1, a dollar-pegged stablecoin backed by U. S. Treasuries and other cash equivalents to cut dependency on conventional banking rails.

World Liberty has secured a high-profile institutional backer: the UAE-based Aqua 1 Foundation invested USD 100 million in WLFI tokens, becoming the venture’s largest public investor. The strategic pact aims to fuel World Liberty’s expansion in South America, Europe and Asia, and to jointly incubate blockchain initiatives.

The governance token WLFI currently is non-transferable, granting holders voting rights rather than direct tradeability; World Liberty has said it is “working behind the scenes” to make WLFI transferable in the future. A large portion of WLFI’s supply remains held by the Trump family and affiliated entities.

The stablecoin USD1 gained traction after a major crypto exchange deal: World Liberty was among the early adopters when the funds backed by an Abu Dhabi entity were routed through USD1 to a major crypto platform, helping to elevate USD1’s market position in the stablecoin ecosystem.

Regulatory and ethical concerns already shadow the venture. Critics argue the project blurs lines between private enterprise and public office, noting that much of the Trump family’s wealth could become entangled with policy outcomes. Donald Trump Jr. has dismissed conflict-of-interest allegations as “complete nonsense,” but scrutiny over the convergence of politics and crypto is intensifying.

WLFI has exhibited wide volatility since launch, riding speculative momentum across global exchanges. Meanwhile, competing crypto card offerings already exist, with established fintechs and digital-asset platforms offering crypto-linked cards in partnership with Visa and Mastercard. Witkoff contends World Liberty’s version will differentiate through tighter integration with its stablecoin and tokenisation strategy.

Space42 has issued its Foresight Constellation Viewpoint, a strategic dossier that underscores how Synthetic Aperture Radar satellite systems, when paired with artificial intelligence, can reshape decision making for governments and industries. The viewpoint emphasises the capacity for persistent imaging, all-weather operation and near-instant analytics — capabilities that are becoming mission-critical in an era of intensifying climate, security and infrastructure challenges.

At the heart of the Viewpoint is GIQ, Space42’s AI engine that converts raw SAR data streams into decision-grade intelligence within minutes. The report argues that the combination of high-resolution persistent coverage and AI transforms Earth observation from static imagery into a dynamic intelligence layer for monitoring, planning and emergency response. Launching Foresight-1 in August 2024 and Foresight-2 in January 2025 has already bolstered the UAE’s Earth observation capability.

Space42 frames its approach as not just a technological upgrade, but a sovereign asset: reliance on third-party satellite data leaves states vulnerable to disruptions, but a domestic SAR-analytics ecosystem offers resilience and control. The global SAR market, currently estimated around $5.8 billion, is forecast to nearly double to $9.8 billion by 2030. According to the Viewpoint, deployment of integrated SAR systems can yield cost savings — for instance, reducing predictive maintenance expenses by up to 30 per cent while improving emergency response by as much as 90 per cent.

The technical backbone of this strategy depends on both the satellite constellation and ground systems. Space42 has entered into a joint venture with ICEYE to localise manufacturing of SAR satellites in the UAE, aiming to strengthen supply chains and transfer expertise. The joint venture builds on prior collaboration: ICEYE’s technology underpins the Foresight satellites, and cooperation is intended to deepen over coming years.

Foresight-2 was successfully deployed via a rideshare launch on 14 January 2025, expanding the constellation’s capabilities and reinforcing its ability to revisit areas multiple times per day. With Foresight-1 and 2 in orbit, the full constellation is expected by 2027. The satellites exploit SAR’s unique ability to image through clouds and in darkness — a significant advantage over optical systems, especially in disaster and high-latency environments.

The Viewpoint also positions its narrative with real-world scenarios. It cites the 2023 Turkey earthquake, in which optical systems were hindered by cloud cover, while SAR satellites continued functioning — enabling assessments of a major dam’s structural integrity in crisis conditions. That example supports the argument that SAR ecosystems must be treated not as supplements but as core infrastructure for resilience and security.

Space42 positions itself as a full-stack player: not merely a satellite operator but a systems integrator combining space services, geospatial analytics and AI. Its dual business units—Space Services and Smart Solutions—serve satellite operations and downstream intelligence markets respectively. Among its touted use cases are border surveillance, maritime monitoring, infrastructure health, mobility and disaster management.

Yet challenges remain. Building sovereign SAR ecosystems demands investment in ground infrastructure, antenna networks, data processing centres and skilled personnel. Market competition is increasing: global players—commercial and governmental—are accelerating developments in miniaturised SAR payloads, hybrid optical/SAR systems and edge AI processing. Moreover, the cost dynamics of deploying dense constellations must be managed against returns from clients in defence, environment and infrastructure sectors.

Dubai’s ride-hailing landscape has shifted dramatically as the UAE-based Zed app now encompasses 10,764 taxis across the emirate—equivalent to more than four in five licensed cabs. The move was enabled through strategic partnerships with Dubai Taxi Corporation and National Taxi, folding in the fleets of three major operators.

Under the new arrangement, DTC’s entire fleet and those of National Taxi and Kabi by Al Ghurair become bookable via the Zed platform, effectively making Zed the host of Dubai’s second-largest taxi fleet. Zed executives describe the expansion as a means of enhancing coverage, cutting cancellations, and lowering wait times, especially across areas traditionally underserved.

Badr Al Ghurair, Zed’s Chief Executive, emphasised the home-grown nature of the platform and its deep knowledge of Dubai’s commuting patterns: “this collaboration … further strengthens Dubai’s mobility ecosystem while ensuring that our communities have access to reliable, everyday transport solutions” he said. Abhinav Patwa, Zed’s EVP and Head, added that the alliances provide scale and reliability without losing sight of a customer-first approach.

The accord comes amid Dubai’s broader ambition of converting 80 per cent of taxi bookings to digital platforms—a target within reach through the emirate’s Smart City 2025 programme. The integrated fleet also introduces more electric and hybrid taxis into Zed’s pool, aligning with the city’s sustainability goals.

This consolidation represents a notable realignment in Dubai’s mobility market. For years, taxis and e-hailing apps operated largely in parallel, with limited overlap in booking channels. The new model bridges that divide, bringing traditional operators into the digital fold via a single platform. Analysts say the move may accelerate the decline in usage of standalone taxi apps and push rivals to forge similar alliances or risk falling behind.

Dubai Taxi Company, now a public joint stock firm under Law No. 21 of 2023, operates more than 10,000 vehicles, of which 6,200 taxis were folded into the agreement. Kabi by Al Ghurair contributed another 3,680 vehicles under the tie-up. According to RTA data, Dubai’s taxi sector expanded by 7 per cent in the first half of 2025 compared with the same period in 2024, signalling growing demand for urban mobility services.

Through the arrangement, newly commissioned taxis across the partner fleets will automatically integrate into Zed’s system—making service expansion incremental and scalable. Several of the added vehicles are electric or hybrid, helping Zed accelerate its greening efforts.

Passengers can now access all these taxis via Zed’s iOS and Android apps, with the platform continuing to offer features such as guaranteed on-time pickups for pre-booked premium rides. The enhanced capacity is expected to reduce wait times during peak hours, improve service in remote zones, and lower the incidence of ride cancellations.