Tech Features
Digitalizing Fuel Efficiency over Engine Efficiency: Integrating Technology to Measure Consumption
By: Rob Mortimer, Director, Fuelre4m
Modern ships are already starting to bristle with technology to measure vessel efficiency, yet one thing stands out over all the results, tech and noise. The importance of the efficiency of fuel isn’t quite understood or calculated. You’ll hear reference back to SFOC (Specific Fuel Oil Consumption) at any time fuel consumption is measured, yet while the principal is right, the measuring and calculating is far from ideal.
Heavy Fuel Oil has an energy density of between 39MJ/kg and 42MJ/kg when burnt. That’s a wide range and depends very much on the source and quality of the fuel. How is it stored, transferred, settled, heated and purified to remove pollutants, particulate, water and reduce the ‘drop’ size to help with better atomisation when introduced into the engine. Large drops of fuel don’t fully combust in the engine. They undergo secondary combustion and turn into heat energy and emissions. Our goal, and what should be the goal of the whole shipping industry, irrelevant of fuel, vessel size and function, should be to be able to account for every drop of fuel consumed.
The Fuel System Lockdown:
MFM Bunker to Bunker
The first challenge is to know and agree what is being bunkered onto the vessel in the first place. To know the mass of the bunker, we must be using a correctly ranged Mass Flow Meter.
MFM Bunker to Settling Tank
When using Fuelre4m’s Re4mx Fueloil re4mulator, we need to dose the correct amount of product for the weight of fuel that is being treated either in the bunker or in the settling tank.
MFM Settling to Purification
Having a mass flow meter after the settling and before purification isn’t wholly necessary, but can be beneficial in understanding the temperature and density of transferred fuel, as well as understanding what the percentage of water and waste material has been lost to this point.
MFM Before Mixing Column, Pre Main Engine – Fuel In
This is the last reference check point of the fuel before it is injected into the engine. What will be reported as accurately as possible from this point will be how much fuel by weight is now passing through for combustion.
MFM Post Main Engine – Fuel Out
To understand the fuel consumption of the main engine, it’s important to be able to measure as close to the Fuel In and Fuel Out points as possible. Fuel consumption of the Main Engine should be as simple as MFM IN minus MFM OUT.
Torque / Shaft Power Meter
So, we’ve locked down the mass of the fuel flowing into the engine, now how do we measure the power produced? Despite how it sounds, a torque meter does not measure torque. It simply measures time and distance. As forces against the propellor change, the amount of power needed to maintain the same turning speed will also change, and the propellor shaft with ‘twist’ with torque.
Why is the ranging important? Because the maximum power rating of the engine changes depending on the quality of the fuel and the energy it can release.
If your fuel produces 1kWh for 160g, 1000kg of fuel will produce 6,250kWh of power. If your fuel produces 1kWh for 180g, 1000kg of fuel will produce only 5,550kWh of power. If the maximum Fuel In capacity of the engine, from where the power rating is calculated, is 1000kg, your maximum power rating of that engine, and with it, the SFOC, has now changed.
Power Cards / Power Curves
The taking of indicator cards, allows the ship’s engineer to receive more information about the combustion process (via the draw or out of phase card), measure the cylinder power output of the engine (via the power cards), and check the cleanliness of the scavenging process (via the light spring diagram).
For the purposes of measuring the efficiency of the fuel, the power cards can be used to calculate the energy release of the fuel. This can then be used to build an algorithm to ‘range’ or adjust the power readings from the torque meter to the quality of the fuel.
MFM Auxiliary Engines – Fuel In
The auxiliary engines, strangely, are probably the easiest to prove fuel efficiency and the efficiency of the fuel on. Why? Because they’re generating electrical power that can easily be measured.
MFM Auxiliary Engines – Fuel In
A common fuel flow in and fuel flow out MFM will suffice if all of the auxiliary engines are sharing a common fuel flow system.
Auxiliary Engines – Constant Power Meter
Being able to monitor the amount of power produced at a given moment is not enough. Electrical loads can vary, and at the time once an hour that the kW reading is taken, or the kWh counter is recorded, the load just two seconds later could change. The fuel consumption for 100kWh over 3 minutes is vastly different than 100kWh over 1 hour.
Boilers & Cargo Offload Systems
Some vessels use boilers to generate steam power, running off the same fuel as the main engines. It is important to lock down all fuel consumers to understand where the fuel is being consumed.
MFM Boiler – Fuel In
Often fed straight from the settling tank without needing to go through further purification, the boiler directly combusts the fuel to generate steam from water.
To be able to calculate the boiler and fuel efficiency, we now need to firstly look at how much fuel in mass is being consumed.
Volumetric or MFM – Water In
Fresh water has a very well-known density of 1g per ml, but this is also affected by temperature. The use of a temperature compensated mass flow meter will improve accuracy of water used to produce the required steam.
Recordable Pressure Gauge
The last variable? How much water and fuel is being used to produce the same amount of steam pressure.
Tech Features
ALERIA TO DEPLOY NVIDIA BLACKWELL ULTRA AND NVIDIA DGX VERA RUBIN NVL72 TO POWER SOVEREIGN AI INFRASTRUCTURE WITH DDN
8,640 NVIDIA Blackwell Ultra GPUs to power sovereign AI workloads in US with plans to expand to 16,000
SAN JOSE, CA, UNITED STATES, March 19, 2026 /EINPresswire.com/ — Aleria, a sovereign AI infrastructure provider, today announced a major expansion of its sovereign AI infrastructure with NVIDIA technology. The expansion brings 8,640 NVIDIA Grace Blackwell Ultra GPUs to the United States, with plans to expand to 16,000, and deliver 28 racks of NVIDIA DGX Vera Rubin NVL72 to the UAE, marking one of the first deployments of this class of system in the region.
Aleria has already demonstrated that sovereign AI factories can be deployed and operated at national scale. This expansion reflects the confidence of governments and national enterprises in that proven model, and their commitment to scaling AI capability on infrastructure they fully own and control. Both the US and UAE expansions are built on the same NVIDIA accelerated computing and DDN high-performance storage architecture that underpins Aleria’s existing live deployments. The deployment includes NVIDIA’s comprehensive AI software portfolio for cutting-edge capabilities with full data sovereignty to superpower Aleria with the latest libraries, including NVIDIA cuDF and cuVS.
“We did not come to market with a promise. We came with working infrastructure. Our sovereign AI structure is live in the UAE, running national workloads, and the results are what are driving this expansion. Deploying NVIDIA Blackwell Ultra in the United States, and DGX Vera Rubin to come in the UAE is the next chapter of something already proven.” – Eric Leandri, CEO, Aleria
Scaling What Works
Aleria’s sovereign AI factory infrastructure is already operational across the United States and the UAE, serving government entities, critical infrastructure operators, and national enterprises. The expansion adds 16,000 NVIDIA Blackwell Ultra GPUs in the United States, an increase that reflects the scale of demand from Aleria’s existing customer base. Connected with NVIDIA Quantum-X800 InfiniBand and Spectrum-X Ethernet networking and anchored by a 25 megawatt data center built for secure, sovereign AI operations, the deployment is sized to meet national workload requirements today and grow with them.
In the UAE, Aleria plans to deploy 28 racks of DGX Vera Rubin NVL72 systems, one of the first deployments of this class in the region. The deployment responds directly to growing demand from governments and enterprises building sovereign AI capability within their own borders.
Together, these expansions demonstrate a repeatable, proven model for national-scale sovereign AI: infrastructure that governments and national enterprises can own, operate, and scale with confidence.
“Sovereign AI infrastructure provides nations and regions with critical resources for managing their most critical assets — their data. Aleria’s NVIDIA-powered sovereign AI factories provide the region with efficient, full-stack computing for the AI industrial revolution.” – Marc Domenech, Vice President Enterprise META and CIS Region, NVIDIA
Proven at National Scale
Aleria’s infrastructure is built to move AI adoption beyond pilot programmes to operational deployment at scale. Supported verticals include government, financial services, healthcare, energy, utilities, and telecommunications, sectors where data residency requirements and regulatory constraints make sovereign deployment essential.
The scale of this expansion is a direct consequence of what has already been built and proven. Aleria’s customers are not evaluating sovereign AI. They are operating it, and they are growing it.
Aleria’s role extends beyond infrastructure deployment. Built on top of NVIDIA accelerated computing and DDN storage, Aleria operates as the sovereign intelligence layer that converts raw compute into production-ready AI capability. This includes a full platform spanning data management, enterprise applications, and video AI, all pre-integrated and designed to be operated by governments and national enterprises without requiring internal machine learning expertise. Customers do not receive GPUs. They receive a complete, sovereign AI capability, from infrastructure to intelligence, running entirely within their own jurisdiction. The Aleria platform spans five layers, accelerated by NVIDIA: Cloud/GPU Orchestration (with NVIDIA Dynamo and NVIDIA NIM microservices); Big Data Fusion (with NVIDIA cuDF and cuVS); Agentic Platform (with NVIDIA NeMo); Industry and Consumer SuperApp delivering AI to citizens’ hands.
“The expansion brings together NVIDIA accelerated computing and DDN high-performance storage. NVIDIA AI infrastructure underpins large-scale training and inference at both sites. DDN delivers multi-petabyte storage systems engineered for data-intensive AI factory environments,” -Ankur Arora, Senior Regional Director Middle East and Africa at DDN.
About Aleria
Aleria is a sovereign AI infrastructure and platform provider trusted by governments and national enterprises.
Jerome Freani
ALERIA TECHNOLOGY – L.L.C
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Cover Story
Why Tech Brands Need to Rethink Influencer Strategy in the Middle East

The Middle East’s consumer technology market is in the middle of a remarkable run.
Smartphone shipments across the region grew 13 percent in 2025, marking a third consecutive year of growth. Ramadan alone now accounts for 15 percent of annual technology and durables sales across MENA. By any measure, the opportunity is significant.
But headline growth can hide an uncomfortable truth. The way consumers in this region evaluate and choose a technology brand has fundamentally changed. Brands still running the old playbook, buying reach from celebrity and mega influencers, measuring success in gross impressions, and treating the GCC as a single audience, are leaving both conversion and credibility on the table.
Mariam Abouzeid
PR & Influencer Marketing Manager, MEA, Nothing Technology
Having managed PR ecosystems generating billions of impressions across the UAE, Saudi Arabia, and beyond, I have seen this shift unfold in real time.
The data is clear. The market has moved. Many marketing strategies have not.
In today’s GCC market, attention is easy. Credibility is rare.
Beyond the Bigger-is-Better Logic
For most of the last decade, the dominant logic in technology marketing across the region was simple. Bigger reach meant better results. Secure the highest-reach influencers, maximize impressions, and sales will follow.
That logic made sense when social media behaved like a broadcast channel. Today it does not.
The UAE and Saudi Arabia are now among the most digitally saturated markets in the world. Social media penetration in the UAE has reached 111 percent of the population, while Saudi Arabia counts 34.1 million social media identities for a population of 34.7 million.
In markets this connected, audiences are no longer passive viewers. They are sophisticated, fast-moving, and deeply skeptical of content that does not feel earned.
Reach alone is no longer influence.
The Power of the Micro-Influencer By the Numbers
The consequences for influencer marketing are measurable. Macro influencers typically achieve engagement rates of around 1.7 percent. Nano influencers, those with between 1,000 and 10,000 followers, consistently deliver engagement rates of 6 to 8 percent in the UAE market.
When cost per engagement is considered, micro-influencer campaigns cost roughly $0.20 per interaction compared with $0.33 for macro campaigns. More importantly, they routinely deliver 5 to 8 times the return on investment, compared with the 3 to 5 times range typical of macro campaigns. The conclusion is simple.
Reach creates visibility. Trust creates action.
The Shift from Search to Social Feed
To understand why community-driven marketing works, it is important to understand how the modern GCC consumer actually makes a purchase decision.
It rarely begins with a search engine. It begins in the feed.
Nearly half of UAE users, 48.1 percent, and 60 percent of Saudi users now use social networks as their primary tool for researching brands and products. Before a consumer clicks add to cart, they have already passed through a quiet community validation process. They have watched unboxing videos from creators they follow and seen devices appear in the rhythm of everyday life.
Celebrity endorsements signal aspiration. Micro creators signal authenticity.
In consumer electronics, authenticity wins.
The Tiered Ecosystem: A Multi-Dimensional Strategy
The most effective technology marketing campaigns in the region now operate through a deliberate multi-tier structure.
Macro influencers are used sparingly to create cultural moments and announce major launches. Mid-tier creators establish niche authority and technical credibility. Micro-influencers carry the critical work of storytelling and product validation. The final layer, the nano tier, drives conversion through peer trust and cultural familiarity.
This distinction matters.
When consumers see a mega-influencer holding a new smartphone, they recognize an advertisement. When they see someone from their own community using the same device in everyday life, they recognize a recommendation.
That difference shapes behavior.
The GCC creator economy has grown 74 percent over the last two years and now includes more than 263,000 active influencers. Technology has become the fastest-growing vertical within that ecosystem. The pool of credible creators available to brands has never been deeper.
The Regional Calendar Geography Is Not a Strategy
One factor global marketing teams often underestimate is cultural timing.
The GCC is not simply a geography. It operates like a calendar.
Consumer spending in the UAE, Saudi Arabia, and Egypt increases by more than 53 percent during Ramadan. Campaigns that might perform modestly in a typical month can deliver outsized impact when creative work reflects the values and rituals of the season.
That kind of resonance can only be achieved by collaborating with creators who understand the culture from the inside.
Moving From Output to Outcomes
There is an uncomfortable truth at the center of the influencer marketing industry in this region.
Many brands are still measuring the wrong things.
Total impressions and cost per mile remain dominant metrics because they are easy to present in reports. But the shift required is from output metrics to outcome metrics.
The questions that matter are different.
What was the depth of engagement?
How many saves and shares did the content generate?
How much earned advocacy emerged from creators who chose to talk about the product because they genuinely valued it?
Organic enthusiasm cannot be purchased. It can only be earned.
The GCC influencer marketing market is valued at $315.5 million in 2025 and is projected to reach $771.6 million by 2032.
The brands that will lead the next phase of this market will not simply be those with the largest budgets. They will be the brands that understand how their consumers actually make decisions, build disciplined influencer ecosystems, and measure the signals that truly drive behavior.
The Middle East tech consumer is one of the most digitally engaged and brand-aware audiences in the world. They expect strategies that reflect that sophistication.
Tech Features
THE STRATEGIC PARADOX: HOW FRONTIER TECHNOLOGIES BOTH CREATE AND SOLVE GEOPOLITICAL RISK
EDITORIAL NOTE: This article is a jointly commissioned work of original analysis, co-authored by Subrato Basu and Srijith KN, and published by Integrator Media as part of its Technology Leadership Series. It does not constitute legal, regulatory, investment, or security advice, and does not represent the official policy position of Integrator Media, Oxford50, or The Executive Board beyond the views expressed herein. No specific government, organisation, or individual is alleged to have engaged in any unlawful activity. Published March 2026.
If geopolitical volatility has become a structural input into enterprise technology strategy, the next question for boards and technology leaders is unavoidable: how should organisations respond?
The answer lies in a paradox that receives far less attention than it deserves. The frontier technologies most exposed to geopolitical disruption, artificial intelligence, sovereign cloud infrastructure, quantum-resilient cryptography, and agentic automation, are simultaneously the most powerful tools available for building organisational resilience against that disruption. Leaders who focus exclusively on the exposure side of this equation miss the more strategically consequential point.
Consider artificial intelligence. AI deployments built on infrastructure subject to extended regulatory jurisdiction carry real compliance exposure, as described above. Yet AI is also the most powerful accelerant available for threat detection, compliance monitoring, scenario modelling, and operational automation, precisely the capabilities that strengthen an organisation’s ability to absorb and recover from geopolitical shocks. The organisations that will navigate this environment most effectively are not those that slow AI adoption in response to geopolitical uncertainty. They are those that architect their AI infrastructure with data sovereignty and workload portability as foundational design requirements from the outset, converting a potential liability into a structural advantage.
Sovereign cloud infrastructure, whether delivered through major hyperscaler in-country residency programmes or through emerging local and regional alternatives — provides a meaningful and structurally durable buffer against vendor-level geopolitical exposure. Organisations that made this architectural decision early, as a matter of governance principle rather than in response to a specific threat event, are today in a materially stronger position than those who deferred it.
Quantum-resilient cryptography is perhaps the most time-sensitive imperative in this landscape. Advisories from government security agencies across multiple jurisdictions indicate that adversarial state actors are running long-horizon data collection programmes, systematically harvesting encrypted data today for potential decryption as quantum computing capabilities mature. For financial services enterprises, critical infrastructure operators, and government-adjacent organisations, beginning a structured transition to post-quantum cryptographic standards is a present-day governance obligation. The window to act before exposure becomes irreversible is finite.
Agentic AI and intelligent automation reduce structural dependence on specialist talent pools that may be disrupted by geopolitically driven mobility constraints. Investment in operational automation is, simultaneously, investment in organisational resilience against workforce uncertainty.
What Well-Governed Organisations Are Doing Differently
We are deliberately wary of presenting action checklists as a substitute for genuine governance change. Checklists become compliance theatre, items filed, boxes ticked, actual posture unchanged. What follows is a description of what genuinely well-governed organisations are doing differently, drawn from patterns visible in board governance practice and publicly available reporting.
They Have Made Geopolitical Risk Structural, Not Episodic
The most consequential governance shift is a reclassification, not a new process. Well-governed organisations treat geopolitical technology risk as a standing monitored variable, with an owner, a defined monitoring cadence, and a clear escalation threshold, rather than a topic that receives board attention only when a crisis forces it onto the agenda.
In practice: the CIO and CISO present a jointly owned, geopolitically aware technology resilience posture to the board at least twice annually, with scenarios explicitly modelled and stress-tested. Geopolitical technology risk appears in the enterprise risk register as a named, measured, and actively managed exposure.
They Have Mapped Their Exposure Before Needing the Map
A geopolitical technology risk assessment that maps the organisation’s most critical technology dependencies against regulatory jurisdiction exposure, relevant cyber threat vectors, and supply chain concentration risk is not a trivial exercise. But the organisations that have completed it, and kept it current through changing conditions, hold a decisive governance advantage. They know where they are exposed. They have already made architectural decisions that reduce that exposure. They are not discovering their vulnerabilities now they are least able to address them.
They Have Built Infrastructure for Portability and Sovereignty
The infrastructure decisions that matter most in a geopolitically volatile environment are not made under crisis conditions. They are made two or three years before a crisis, when there is no immediate operational pressure to make them. Migrating sensitive and mission-critical workloads to locally hosted or sovereign cloud infrastructure, dual-qualifying strategic hardware suppliers across non-concentrated supply lines and implementing zero-trust security architecture are decisions that appear cautious or unnecessary in stable conditions. They appear prescient when conditions change. The organisations in the strongest position today are those that made these decisions as a matter of strategic principle, not reactive necessity.
They Have Tested Their Continuity Assumptions Against Realistic Scenarios
Business continuity plans that have never been tested against simultaneous, compounding geopolitical stress scenarios, vendor service disruption, connectivity constraints, talent mobility restrictions, and elevated cyber incident risk converging rather than arriving sequentially, are not fit for purpose in the current environment. The organisations we consider genuinely well-prepared have run structured tabletop exercises against these compound scenarios, found their gaps in controlled conditions, and closed them before an actual event demanded it.
| BOARD READINESS: SIX QUESTIONS TO ASK THIS WEEK Can your organisation operate critical systems for 72 hours without dependency on infrastructure subject to potential extended-jurisdiction service suspension?Do you maintain offline backups of all critical data with regularly tested, documented, and rehearsed recovery procedures?Is your incident response retainer pre-authorised, contractually current, and explicitly scoped to include geopolitically-motivated threat scenarios?Have you documented manual fallback procedures for all AI-dependent and automated workflows?Is your supply chain inventory and vendor flexibility sufficient to sustain operations through a procurement constraint window of 60–90 days?Are your key technology vendors contractually required to provide advance notice before material service changes — and have you rehearsed your internal response to receiving such notice? |
A Final Word: Preparedness Is the New Competitive Advantage
There is an argument we consistently find under-made in this space, because it tends to be buried beneath the risk and compliance framing that dominates most discussions of geopolitical technology governance. We want to make it plainly.
Organisations that embed geopolitical technology risk into their governance frameworks, that build sovereign infrastructure, harden their security posture, develop resilient local talent pipelines, and rehearse continuity scenarios against compound stress events, are not simply managing downside exposure. They are building a form of operational resilience and institutional credibility that becomes a genuine, durable competitive advantage at precisely the moments when the advantage is most valuable. When conditions deteriorate, prepared organisations keep operating. They hold the trust of customers and regulators. They are positioned to capture ground from competitors who were not ready.
The structural forces generating geopolitical volatility across the global technology landscape, the intensification of great-power competition, the normalisation of technology restrictions and counter-measures as instruments of statecraft, and the sustained deployment of cyber capabilities as tools of strategic leverage, are not resolving on any near-term horizon. For enterprises operating in or near the fault lines these forces create, a ‘wait and see’ governance posture is not a neutral position. It is a choice to carry exposure that is available to be reduced.
What this moment calls for is a board and CXO community willing to apply to geopolitical technology risk the same intellectual discipline, analytical rigour, and governance seriousness it applies to financial risk: modelling it explicitly, monitoring it continuously, stress-testing it regularly, and managing it actively rather than observing it passively. The organisations that do this work now will not merely survive the next escalation cycle. They will emerge from it operationally stronger, commercially more resilient, and holding the trust and confidence that defines long-term enterprise value.
Technology leadership has always required navigating a world more complex than the tools designed to govern it. The nature of that complexity has simply changed. The discipline required to meet it has not.
| In a fractured world, operational resilience is not a risk management outcome. It is a competitive strategy. The organisations that understand this distinction will define the next generation of technology leadership. |
| SUBRATO BASU CEO, Oxford50 | Global Managing Partner, The Executive Board Subrato Basu advises boards and senior technology leaders across industries on governance, risk, and enterprise strategy. He brings a practitioner perspective shaped by engagements across the Asia-Pacific region and beyond, with particular focus on technology governance, go-to-market strategy, and organisational resilience in complex operating environments. | SRIJITH KN Senior Editor, Integrator Media Srijith KN is Senior Editor at Integrator Media, covering enterprise technology, cybersecurity, and digital transformation across the Middle East and Asia. He brings an editorial perspective drawn from tracking technology leadership decisions across markets in periods of rapid change, and a sustained focus on how organisations translate strategic risk into governance action. |
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