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Dubai Investments has revealed that its wholly owned subsidiary, Emirates Float Glass, will expand its float-glass manufacturing capacity by launching a second production line that will raise output from 600 tonnes per day to 1,200 tonnes. The upgrade is slated to introduce Ultra Clear low-iron glass—marketed as a first in the MENA region—with advanced automation and energy-efficient systems, and is scheduled for commissioning between late 2027 and early 2028.

Under the plan, the second line will incorporate next-generation process control technology to ensure consistent product quality while curbing energy consumption and lowering the environmental footprint. Dubai Investments emphasises that this aligns with its broader industrial growth strategy and the UAE’s ambitions in high-value manufacturing.

Abdulaziz Bin Yakub Al Serkal, CEO of Dubai Investments’ Industrial Platform, described the move as crucial for strengthening regional competitiveness. He said the introduction of Ultra Clear glass will allow EFG to penetrate premium markets, give clarity advantages over conventional float glass, and support growing demand from architectural, infrastructure and design sectors. The project involves a collaboration with Germany’s HORN Glass Industries, which will supply glass-melting furnaces and associated systems, while local civil-works contractors and international project teams will oversee implementation.

EFG currently operates out of its float plant in the Industrial City of Abu Dhabi, where its capacity now stands at 600 tonnes per day. The expansion marks the second phase of investment in the plant. Dubai Investments’ announcement underlines its commitment to scaling up industrial assets and achieving technological differentiation in its manufacturing portfolio.

The expanded capacity is seen as a response to rising demand across the Gulf and broader regional markets, where premium architectural glass is gaining traction, driven by growth in high-rise construction, sustainability mandates and demand for energy-efficient façades. Analysts note that the move helps EFG hedge against rising competition from international glass producers by offering higher-clarity, value-added products.

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.

Atelic today unveiled Atelic Studio, a new toolkit designed to help companies deploy enterprise-grade AI solutions with enhanced security, streamlined integration and measurable business returns. The Dubai-based firm says Studio represents a shift toward more accessible, modular and trustworthy AI for sectors such as industry, healthcare and energy markets.

Atelic presents Studio as a vendor-agnostic, multi-tenant platform that supports organisations in managing AI model deployment, data pipelines and governance from a unified interface. The company emphasises that the goal is to deliver “trusted AI” at scale — giving enterprises control over security and compliance while achieving return on investment.

According to Atelic, Studio’s architecture layers include model management, access control, explainability tools and deployment orchestration. It supports hybrid and cloud environments and allows users to plug in models from existing AI providers or open-source frameworks. In promotional documentation, the company describes Studio as both “secure” and “strategic” — stressing that enterprises should not just build models but build them for business impact.

Atelic’s background lies in AI software, chatbots, predictive analytics and data engineering across markets. Earlier projects focused on custom AI solutions, but the push with Studio marks a move toward a standardised platform offering. The firm’s public profile positions it as a tech partner aiming to help organisations “automate, innovate, and grow.”

Industry analysts note that the challenge Atelic is trying to solve is not trivial: many enterprises struggle with integrating AI into legacy infrastructure, managing security risks, and proving business value. Such obstacles have prevented AI pilots from crossing into production in many firms. If Studio lives up to its claims, it could attract customers looking for a balanced bridge between agility and control.

In the Middle East, the push for digital transformation has seen strong governmental and corporate backing. Atelic anticipates demand from local energy, healthcare and industrial firms that are under pressure to adopt AI responsibly. The company says it will offer pilot engagements through regional partnerships to demonstrate local compliance, security and use-case feasibility.

Atelic has not publicly disclosed pricing or commercial terms for Studio. Observers believe the platform market is crowded—competitors include major cloud AI platforms, AI ops tools, and niche MLOps startups. The success of Studio will hinge on differentiation: the promise of enterprise trust, modular integration, and clear business metrics.

Technical job listings from Atelic suggest the company is building out the platform’s infrastructure: a Full Stack Software Developer role cites work on an “AI industrial platform” using a multi-tenant architecture. Meanwhile, a short video presentation of Studio describes it as a secure, vendor-agnostic AI user interface that aims to future-proof enterprises as requirements evolve.

OPEC+ delegates are weighing two divergent paths for November oil quotas: a modest lift mirroring October’s 137,000 barrels per day increase or a more aggressive jump, possibly two to three times larger. Diplomatic and market pressures appear to be pulling members in different directions.

Ahead of Sunday’s formal meeting, one source familiar with the deliberations described 137,000 bpd as the “base case,” replicating this month’s incremental pace. A second source, speaking on condition of anonymity, indicated that under more aggressive assumptions the group may opt for increases of 280,000 bpd or even 400,000 bpd. Those in favour of larger hikes argue that strengthening demand and constrained Russian output justify a bolder step.

Analysts are aligning with the moderate view. Goldman Sachs, for instance, projects a November quota increase of around 140,000 bpd, citing tight inventory levels in Asia and Europe and declining U. S. crude stockpiles. Pressure for a more substantial increase, however, is mounting given elevated oil prices and a desire among key producers to reclaim or expand market share.

During a meeting of the Joint Ministerial Monitoring Committee this week, OPEC+ emphasised full compliance with output agreements, urging shirking members to compensate for previous breaches. While the JMMC lacks decision-making power on quotas, it retains the ability to summon full OPEC+ sessions if necessary. This move underscores growing unease about cohesion ahead of the upcoming vote.

Market reaction has already shown sensitivity. Oil prices—which had climbed amid tight supply forecasts—slid more than 3 per cent early this week as traders factored in the possibility of an oversupplied market if OPEC+ moves decisively upward. Further pressure arrived as Iraq’s Kurdistan region resumed exports to Turkey, adding to short-term supply. Expectations of a November increase of at least 137,000 bpd have also fed concerns about potential gluts.

Saudi Arabia is anticipated to respond to this industrial backdrop by raising its official selling prices for November crude to Asia. Refining sources suggest increases of 20–40 cents per barrel for Arab Light, and larger bumps for heavier grades—moves intended to optimise returns amid the shifted supply landscape. Observers note, however, that these pricing adjustments may be constrained by growing global volumes and rising freight costs.

Within OPEC+ circles, some major players favour the status quo increment. They caution that a more aggressive hike could undermine prices and strain discipline among reluctant members. Others view a bold move as an opportunity to reshape global oil dynamics—forcing non-allied producers to respond and reasserting the cohesion and influence of the alliance.

Russia is under particular scrutiny. Its output has been running below forecasts, and further declines—coupled with Western sanctions and infrastructure disruptions—are cited by several sources as a justification for a larger quota increase across the group. Still, Moscow’s appetite for more substantial volume gains remains unclear, balancing revenue interests with geopolitical strategy.

The Union Cabinet has cleared a major scheme under the Department of Scientific and Industrial Research and the Council of Scientific and Industrial Research to infuse ₹2,277.397 crore into capacity building and human resource development in science and technology over the 2021–22 to 2025–26 span.

The “Capacity Building and Human Resource Development ” scheme will be implemented by CSIR and will extend support to research and development institutions, national laboratories, Institutes of National Importance, Institutes of Eminence and universities across the country. It aims to nurture talent in fields spanning science, technology, engineering, medicine and mathematics.

Officials describe the initiative as a strategic instrument to shore up India’s research ecosystem. It offers four sub-programmes: doctoral and postdoctoral fellowships; an extramural research scheme including Emeritus and Bhatnagar Fellowships; awards for scientific excellence; and grants to promote travel and symposia.

Science and Technology Minister Jitendra Singh stated that the scheme will “strengthen the research and development ecosystem by training researchers, nurturing scientific talent and promoting innovation to build a future-ready India.” Under this plan, promising scientists will receive institutional support through mentoring, infrastructure access and networking opportunities.

The government places renewed emphasis on bridging gaps in the researcher base. India currently ranks 39th in the Global Innovation Index, and the authorities expect the new scheme to push that further upward. Higher numbers of researchers per million population, more publications, and stronger institutional linkages are cited as expected outcomes.

Within CSIR, the umbrella programme is designed to consolidate scattered efforts and reduce duplication. Many laboratories and institutes already run fellowships or grant schemes; under CBHRD, these are to be aligned, coordinated and accelerated. CSIR is now in its 84th year of operation and oversees the umbrella scheme.

One critical ambition is to stem brain drain, particularly among early-stage researchers. The fellowship provisions and funding for travel and international collaboration are meant to give Indian-based scientists incentives to stay. Experts in the policy space note that merit, institutional support and continuity of funding will be decisive in preventing talent outflow.

A potential challenge lies in implementation. Institutions in more remote or underserved regions may lack existing capacity in infrastructure or mentoring frameworks. Ensuring equitable distribution of resources will test administrative agility. Monitoring and evaluation mechanisms will be crucial to track how funds are deployed and whether intended outcomes are achieved.

Beyond the scheme, India is deploying complementary initiatives. For example, the National Quantum Mission—approved earlier—allocates over ₹6,000 crore to develop quantum technology capabilities from 2023 to 2031. This too hinges on a pool of highly qualified researchers and labs equipped for frontier science.

The CBHRD scheme also dovetails with India’s Sustainable Development Goals in science and technology, aiming to boost research intensity and capacity across states and institutions. Coordinated investments and policy coherence may drive systemic transformation in the scientific sector.

Critics caution that past announcements in the research domain often fall short in sustaining funding beyond initial phases. Long-term maintenance, recurring costs, infrastructure upkeep and human capital churn are likely stress points. The success of this scheme will depend on consistent funding flows, institutional accountability, and adaptability.