Tech Features
FROM COST EFFICIENCY TO CARBON EFFICIENCY: THE NEW METRIC DRIVING TECH DECISIONS
Ali Muzaffar, Assistant Editor at School of Mathematical and Computer Sciences, Heriot-Watt University Dubai
In boardrooms across the globe, something big is happening, quietly but decisively. Sustainability has evolved far beyond being a “nice-to-have” addition to an ESG report. It’s now front and centre in business strategy, especially in tech. From green computing and circular data centers to AI that optimizes energy use, companies are reshaping their technology roadmaps with sustainability as a core driver and not as an afterthought.
Not long ago, tech strategy was all about speed, uptime, and keeping costs per computation low. That mindset has evolved. Today, leaders are also asking tougher questions: How carbon-intensive is this system? How energy-efficient is it over time? What’s its full lifecycle impact? With climate pressure mounting and energy prices climbing, organisations that tie digital transformation to their institutional sustainability goals.
At its heart, green computing seeks to maximise computing performance while minimising environmental impact. This includes optimising hardware efficiency, reducing waste, and using smarter algorithms that require less energy.
A wave of recent research shows just how impactful this can be. Studies indicate that emerging green computing technologies can reduce energy consumption by 40–60% compared to traditional approaches. That’s not a marginal improvement, that’s transformational. It means smaller operating costs, longer hardware life, and a lower carbon footprint without sacrificing performance.
Part of this comes from smarter software. Techniques like green coding, which optimise algorithms to minimise redundant operations, have been shown to cut energy use by up to 20% in data processing tasks.
Organisations that adopt green computing strategies aren’t just doing good; they’re driving tangible results. Informed by sustainability principles, energy-efficient hardware and
optimisation frameworks can reduce energy bills and maintenance costs at the same time, often with payback periods of three to five years.
Data centres are the backbone of the digital economy. They power software, store vast troves of data, and support the artificial intelligence systems driving innovation. But this backbone comes with a heavy environmental load. Collectively, global data centres consume hundreds of terawatt-hours of electricity each year, which is about 2% of total global electricity.
As AI workloads surge and data storage demand explodes, energy consumption is rising sharply. Looking ahead to 2030, the numbers are hard to ignore. Global data
centre electricity demand is expected to almost double, reaching levels you’d normally associate with an entire industrialised country. That kind of energy appetite isn’t just a technical issue, it’s a strategic wake-up call for the entire industry.
This surge has forced a fundamental rethink of how data centres are built and run. Enter the idea of the circular data centre. It’s not just about better cooling or switching to renewables. Instead, it looks at the full lifecycle of infrastructure, from construction and daily operations to decommissioning, recycling, and reuse, so waste and inefficiency are designed out from the start.
The most forward-thinking operators are already implementing this approach. Advanced cooling methods, such as liquid cooling and AI-driven thermal management, are revolutionising the industry, reducing cooling energy consumption by up to 40% compared to traditional air-based systems. That’s a big win not only for energy bills, but also for long- term sustainability.
Beyond cooling, operators are turning heat waste into a resource. In Scandinavia, data centres are already repurposing excess thermal output to heat residential buildings, a real- world example of how technology can feed back into the community in a circular way. These strategies are already showing results, with approximately 60% of data centre energy now coming from renewable sources, and many operators are targeting 100% clean power by 2030.
Circular thinking extends to hardware too. Companies are designing servers and components for easier recycling, refurbishing retired equipment, and integrating modularity so that parts can be upgraded without replacing entire systems.
For businesses, circular data centres represent more than environmental responsibility. They can significantly lower capital expenditures over time and reduce regulatory risk as governments tighten emissions requirements. While AI itself has been criticised for energy use, the technology also offers some of the most effective tools for reducing overall consumption across tech infrastructure.
AI algorithms excel at predictive optimisation, they can analyse real-time sensor data to adjust cooling systems, balance computing loads, and shut down idle resources. Across case studies, such systems have reliably achieved 15–30% energy savings in energy management tasks in cloud environments, dynamic server allocation and AI-assisted workload management have contributed to energy savings of around 25% when compared with conventional operations.
Tech Features
UBER, MICROSOFT MOVES SIGNAL NEW PHASE IN ENTERPRISE AI ADOPTION

Expert commentary by Andreas Hassellöf, CEO of Ombori, on how enterprises are turning AI investment into measurable operational value and shifting from experimentation to disciplined adoption centred on workflows, governance, and business outcomes.
Large enterprises are beginning to speak more openly about the growing gap between AI adoption and measurable business outcomes, as companies reassess whether rising AI costs are translating into meaningful productivity gains.
Uber President and COO Andrew Macdonald recently said the company is finding it “harder to justify” increasing AI spending after internal discussions highlighted the difficulty of linking higher usage of AI coding tools such as Claude Code to a proportional increase in useful consumer-facing features. The comments followed reports that Uber had exhausted its 2026 budget for Claude Code within the first four months of the year, while CEO Dara Khosrowshahi confirmed the company is slowing hiring as it increases investment in AI initiatives.
At the same time, Microsoft has reportedly begun reducing internal use of Anthropic’s Claude Code within parts of its business, shifting developers toward GitHub Copilot CLI instead. Reports suggested the move was tied to Microsoft’s broader push toward its own AI ecosystem and internal tooling strategy rather than a retreat from AI adoption itself.
The developments have triggered wider debate around whether enterprises are entering a more measured phase of AI adoption, with greater focus on operational value, integration, and cost management rather than usage alone.
However, Andreas Hassellöf, CEO of Ombori, believes the issue is less about the capability of AI and more about how organisations are adapting to it.
“The real challenge has nothing to do with whether AI can increase productivity. It clearly can,” Hassellöf said. “The harder part is getting people and organisations to adapt how they actually work so the technology delivers results.”
According to Hassellöf, many companies are seeing high adoption rates and surging token consumption but are struggling to convert that activity into measurable business value. “The bottleneck is rarely the technology itself,” he said. “It is how teams change their processes, measure real outcomes, and build new habits around the tools.”
He added that the industry is now entering a more mature phase of enterprise AI adoption, where businesses are beginning to move beyond experimentation and focus instead on operational discipline, governance, and measurable outcomes. Companies that succeed, he said, will be the ones that redesign workflows around AI rather than simply layering tools onto existing processes.
“Just chatting casually with an AI coding tool and expecting it to handle everything is not enough,” Hassellöf said. “It wastes tokens and often creates more problems than it solves.”
Instead, he argues that successful AI implementation requires structured workflows where multiple AI agents handle specialised tasks such as coding, reviewing, testing, and formatting, while humans remain responsible for setting goals, reviewing outputs, and ensuring alignment with business outcomes.
“The technology is powerful, but the human side of adoption will decide whether a company succeeds with AI or whether it becomes just another expensive experiment,” he said.
Tech Features
THE MIDDLE EAST’S DIGITAL FAULT LINES: A RESILIENCY BLUEPRINT FOR CIOS AND CTOS
Ahmad Shakora, Group Vice President- META, Cloudera
We are now in an era where digital connectivity underpins many areas such as commerce, security, governance, and social life.
In the Middle East, with ever-changing external factors, access to data has transitioned into a critical asset, with organisations and nations increasingly focused on protecting a vast array of information.
For businesses operating in this region, traditional efficiency-focused IT strategies are no longer sufficient. Robust business continuity and disaster recovery must take center stage.
The expanding risk matrix
The current operating environment highlights several areas of vulnerability for global digital infrastructure, demonstrating that risks can be either planned or entirely unexpected:
- Government interventions can result in significant, sudden internet restrictions. Additionally, physical data center infrastructure is susceptible to multiple external factors. Severe and unpredictable environmental events, including extreme heat and unexpected flooding, can place a strain on the physical and cooling infrastructure of centralized data centers, forcing facilities offline
- Unexpected impact on physical infrastructure can arise, causing noticeable latency
- Total reliance on centralized third-party platforms amplifies operational risks. These can stem from planned events, such as routine maintenance and vendor migrations, or unplanned events, such as global software updates that inadvertently lead to widespread, cascading outages
In response to these varied and potentially compounding threats, the Gulf Cooperation Council is shifting from efficiency-first cloud adoption to resilience-first planning. Nations are accelerating investments in localized data centers, sovereign cloud environments, and multi-channel data access architectures that can withstand both cyberattacks and physical military threats.
In the UAE, the sovereign cloud market is projected to grow at a compound annual rate of 23% through 2033, signalling a sustained commitment to securing critical data and reducing exposure to fragile global dependencies.
When resilience becomes the backbone of survival
These external forces elevate Business Continuity and Disaster Recovery from a regulatory checkbox to a fundamental requirement for corporate survival. For CIOs and CTOs operating in the Middle East, ensuring operational resilience requires highly specific architectural choices.
Tech leaders who view infrastructure through a purely technical lens may be vulnerable. Data infrastructure must function as a strategic fortress. Resilience must supersede efficiency as the primary design goal. To continue operating amidst disruptions, tech leaders should look for the following differentiators when building their enterprise data infrastructure:
1. Cloud power, local control: do not put all the eggs in the public cloud basket. Organizations need a setup that works the same way whether it is in a giant data center or a small server at a remote branch. By running mini-clouds locally, enterprises keep the speed and control without being at the mercy of a service provider’s outage. Infrastructure must allow organizations to run data and AI workloads anywhere, converging the best of public cloud with on-premises deployments, including secure air-gapped environments.
2. Maintain internal control over enterprise AI: if there are disruptions to internet access or travel is restricted, AI shouldn’t stop working. Sovereign Private AI, by design, brings the thinking power to where the data actually sits. This keeps sensitive data secure and ensures automated systems stay online even if the rest of the world goes offline.
3. Diversify technology partners: tech leaders should implement an Open Data Lakehouse architecture that unifies 100% of the organization’s data to avoid vendor lock-in and catastrophic single points of failure. A critical design principle to look for is the strict separation of compute and storage. By utilizing highly scalable, S3-compatible object storage independently from computing power, enterprises can leverage robust data replication and erasure coding to ensure high durability, guaranteeing that all backup data remains safely within sovereign boundaries.
4. One view, no silos: managing fragmented data across a region during a crisis can be chaotic. CIOs need a Unified Data Fabric that breaks down silos and provides a single view of all organizational data with centralized, end-to-end security and governance across complex hybrid environments. Coupled with this, infrastructure must support Data in Motion: the ability to seamlessly move and process real-time data from any source to any destination. If a subsea cable is damaged or a data center goes offline, this capability ensures business-critical decisions can still be made seamlessly as traffic reroutes.
5. Visibility & isolation: Operational survival requires extreme visibility. A resilient infrastructure must feature granular observability across the full IT stack for proactive health monitoring, incident response, and data-flow policy enforcement. By using containers to isolate different tasks, enterprises can ensure that if one part of the business encounters technical issues, the risk is contained, protecting critical operations.
The future of business in the Middle East belongs to leaders who treat their infrastructure as a sovereign fortress.
True resilience requires moving past simple cloud adoption to build localized, hyper-resilient architectures that remain fully functional when global networks fail. CIOs and CTOs must now prioritize digital autonomy by anchoring their most critical operations in hardened, local environments that can withstand physical and international uncertainties. By designing for total isolation, leaders can ensure their organization remains operational and secure regardless of regional instability. The ultimate competitive advantage is the ability to maintain power and connectivity.
Tech Features
FIVE WAYS B2B MEDTECH MARKETPLACES ARE RESHAPING HEALTHCARE BUSINESS
Healthcare and wellness businesses across the GCC are growing in a market that is becoming more digital, specialised, and commercially active. The GCC healthcare market is projected to grow from $121.9 billion in 2025 to $170.5 billion by 2030, according to Research and Markets, creating stronger demand for trusted platforms that connect buyers, sellers, service providers, and investors. Yet many businesses still rely on personal networks, fragmented supplier searches, and informal channels when selling equipment, finding operational support, or exploring business transactions.
MedSahra, the first B2B MedTech ecosystem platform focused on healthcare and wellness trade across the GCC, outlines five facts that show how marketplaces can bring more structure to this evolving sector.
Verified businesses build trust
Healthcare transactions often involve high-value assets and licensed businesses, which makes trust essential from the first interaction. A B2B marketplace becomes stronger when sellers and buyers are verified before they engage with others. This can include requesting documentation that confirms a company is legally registered and operational. For buyers, this reduces uncertainty. For sellers, it creates a more credible environment where serious business conversations can begin with greater confidence.
Private listings support business sales
Selling a healthcare or wellness business is often sensitive because owners may not want staff, competitors or the wider market to know they are exploring a transaction. In many cases, owners are left to rely on word-of-mouth or private referrals because there is no clear, specialised marketplace for these opportunities. Public listings can create unnecessary concern among employees, patients, and competitors before a deal is even serious. Private listings can make this process more practical by allowing sellers to present opportunities discreetly, while helping buyers discover small private clinics to large hospitals in different sectors, including general, dental, dermatology, cosmetology, pediatric and others areas, with existing infrastructure, equipment, and customer bases.
Equipment access becomes more efficient
Medical equipment is a major investment, yet many owners struggle to sell pre-owned devices through the usual channels. In some cases, distributors may only buy back equipment when the owner is purchasing a new device, which leaves clinic owners with limited options when they simply want to sell. A dedicated marketplace creates a clearer route for listing and discovering all types of medical and wellness equipment, whether new or pre-owned, across healthcare and wellness categories, including dental, diagnostic, general medical, cosmetology and others. This is increasingly relevant as the UAE medical devices market is projected to grow from $3.18 billion in 2025 to $4.71 billion by 2032, according to Fortune Business Insights. Marketplaces can also help users find providers for repair, calibration, upgrades and spare parts.
Support services become easier to find
Running a clinic or wellness business requires more than medical expertise, and finding reliable service providers can be a constant operational challenge. Owners often depend on search engines, personal recommendations, or scattered supplier contacts when they need support for digital marketing, accounting, logistics, customs, software development, printing, pest control, equipment repair, calibration, hardware upgrades, or software upgrades. A B2B marketplace can make supplier discovery more structured by bringing relevant service providers into one professional ecosystem where businesses can compare options and start conversations more efficiently.
Consulting adds structure to transactions
Complex business decisions often require specialist support, especially when buying equipment, selling a clinic, or preparing for a larger transaction. Consulting partners can support areas such as M&A, accounting, audit, legal guidance, equipment planning, and operational readiness. This advisory layer is becoming more important as healthcare providers adopt more connected technologies, with GCC connected medical devices and wearables projected to grow at a CAGR of around 20.19% between 2025 and 2030, according to MarkNtel Advisors. A marketplace that connects businesses with relevant experts can help transactions become more informed, secure, and commercially viable.
-
News11 years ago
SENDQUICK (TALARIAX) INTRODUCES SQOOPE – THE BREAKTHROUGH IN MOBILE MESSAGING
-
Tech News2 years agoDenodo Bolsters Executive Team by Hiring Christophe Culine as its Chief Revenue Officer
-
Trending7 months agoOPPO A6 Pro 5G Review: Reliable Daily Driver
-
VAR1 year agoMicrosoft Launches New Surface Copilot+ PCs for Business
-
Tech Interviews2 years ago
Navigating the Cybersecurity Landscape in Hybrid Work Environments
-
Automotive2 years agoAGMC Launches the RIDDARA RD6 High Performance Fully Electric 4×4 Pickup
-
Tech News11 months agoNothing Launches flagship Nothing Phone (3) and Headphone (1) in theme with the Iconic Museum of the Future in Dubai
-
VAR2 years agoSamsung Galaxy Z Fold6 vs Google Pixel 9 Pro Fold: Clash Of The Folding Phenoms


