In a strategic move to advance enterprise digital enablement and support the technological ambitions of Saudi Vision 2030, Cloudera, the only true hybrid platform for data, analytics, and AI, has agreed to a Memorandum of Understanding (MoU) with MuroonI the technology and digital enablement subsidiary of Tawuniya.

The proposed collaboration aims to evaluate opportunities to help organizations across the region modernize their technology capabilities, accelerate digital transformation, and unlock long-term business value. By leveraging Cloudera’s products and services, the engagement will explore how Cloudera’s hybrid data platforms and AI-driven analytics can help to boost Muroon’s expanding IT and digital enablement objectives.

Under the proposed partnership, Muroon and Cloudera will aim to collaborate on delivering secure data exchange and modern cloud architecture. Integrating Cloudera Anywhere Cloud™ principles, the proposed collaboration will explore ways to deliver a consistent cloud experience, enabling organizations to deploy AI and analytics workloads across private data centers and cloud environments with unified governance and security.

The proposed alliance creates complementary roles for both organizations. Muroon will leverage its delivery capabilities, consulting expertise, implementation services, across the Tawuniya ecosystem and the wider region. Cloudera will look to provide technology leadership, platform expertise, solution architecture, and technical enablement.

Ahmad Shakora, General Vice President of META, Cloudera, said:
“Our proposed collaboration with Muroon represents an important milestone in empowering regional organizations with modern hybrid data and AI architectures. Through Cloudera’s ability to bring AI and analytics to data anywhere it resides, combined with Muroon’s deep digital enablement and implementation capabilities, we aim to accelerate innovation, ensure secure data management, and actively contribute to the digital economy goals of Saudi Vision 2030.”

Faisal Bakhsh, Vice President of Business Development and Services Delivery at Muroon, added:
“As the technology arm of Tawuniya Group, Muroon is dedicated to delivering cutting-edge digital solutions that drive operational efficiency and business growth. Exploring this partnership with Cloudera allows us to harness world-class hybrid data and AI platforms to expand our service capabilities, facilitate secure data exchange, and deliver transformative value to our ecosystem and clients across Saudi Arabia.”

At the start of the two sales waves for the new iPhone 18 models, the buzz has extended far beyond customers and Apple enthusiasts, scammers are also attempting to capitalize on the hype. Kaspersky experts have identified fake websites promoting nonexistent offers designed to deceive users for the new devices. These scam sites have been discovered in multiple languages, including English, Arabic, Portuguese and others.

One of the identified websites offers users the opportunity to “purchase” new devices, complete with technical specifications and a 25% discount. Among the available payment methods, customers are also encouraged to pay in Bitcoin. Its deceptively credible interface is designed to lower the guard of users, prompt them to enter personal information and transfer funds – but in reality, the only thing buyers might receive is financial loss.

Example of a fake website offering to purchase iPhone 18 Pro with Bitcoins

Another fake website invites users to pre-order iPhone 18 Pro devices in a variety of colors, including some that differ from those officially announced by the company at launch, and to select their preferred storage capacity. To make the offer even more enticing, the site claims that customers do not need to pay the full amount upfront and can supposedly settle the remaining balance later. In addition, the “seller” promises a full refund if the purchase is canceled – a claim that should not be trusted.

At the next stage, the fake website requests users’ personal information, including their full name, phone number, email address, city of residence and even their WhatsApp contact details, which may later be used by cybercriminals as part of social engineering schemes. Buyers are then asked to provide their bank card details. Ultimately, every step of the process is designed to extract as much information as possible, which may later be stolen, while victims’ bank accounts may be drained of funds.

“We have seen scam offers emerge around high-profile device launches for years.  Consumer excitement can give cybercriminals an additional advantage and improve their chances of profiting. We strongly advise users to be extremely cautious when choosing where to shop and to make purchases only through official and trusted retailers. Offers that seem too good to be true, as well as product selections that are broader than or differ from those officially announced by the company, should be treated as clear warning signs,” says Olga Altukhova, Senior Web Content Analyst at Kaspersky.

To enjoy new devices without worrying about cyberthreats, Kaspersky advises users to:

Enable multi-factor authentication and monitor accounts: activate 2FA on IDs and financial apps and regularly review statements for unauthorized activity.

Always purchase new products through official and reputable stores to avoid falling victim to fraudulent offers.

Check the authenticity of websites before entering personal data. Double-check URL formats and organizations name spellings.

Secure your payment information. Use dedicated virtual cards or a dedicated payment service for online purchases to avoid exposing your credit card or bank account information.

Use a reliable security solution such as Kaspersky Premium that blocks phishing links. To ensure advanced protection against increasingly complex cyber threats, Kaspersky actively amplifies its consumer solutions with AI-powered scam protection – a unified suite of technologies that combines machine learning-based anti-phishing algorithms, real-time behavior monitoring, accompanied by Data Leak and Identity Theft checkers.

AI is rapidly reshaping the physical infrastructure behind modern data centres, with higher GPU densities, greater power requirements and more demanding cooling needs forcing operators to rethink how facilities are designed and deployed. The shift is increasingly moving beyond traditional, site-built models towards prefabricated and integrated infrastructure that can bring power, cooling and white-space systems together more efficiently, while also shortening deployment timelines.

At the same time, enterprise adoption of AI is broadening the market beyond hyperscalers and colocation providers, creating new demand for infrastructure that can support higher-density workloads while remaining resilient, scalable and efficient. In hotter markets such as the Middle East, those requirements place even greater emphasis on thermal management and the need to adapt cooling strategies to local operating conditions. Alex Brew, VP Regional Sales EMEA at Vertiv, discusses how these changes are influencing customer requirements and shaping the next generation of AI-ready data-centre infrastructure.

What is changing most significantly in the data-centre market as AI adoption accelerates?

The technology and infrastructure required to deliver AI factories and this next generation of facilities are changing significantly. Continued evolution in GPU architecture is driving greater infrastructure density, and we are also seeing mass adoption of newer technologies such as liquid cooling.

But one of the biggest changes is the shift from traditional deployment models towards more prefabricated, off-site production-based methodologies for constructing data centres.

For us, this is critical because of the time-to-token element — the speed it enables without compromising on quality. From a sustainability standpoint, it is also broadly recognised as a more progressive construction technique.

It allows customers to deploy faster and realise returns on their investments sooner, based on the token output they can generate thereafter.

We are also seeing Vertiv increasingly recognised not simply as an industrial manufacturer or product supplier, but as a system-level integration and infrastructure partner. Customers are bringing us into projects at the very inception of the idea — for example, when they first decide they want to stand up an AI factory.

What are customers looking for when they talk about AI-ready infrastructure?

We are experiencing growth across markets and product lines, but there is particular acceleration around infrastructure solutions and the move towards prefabricated construction.

This brings more of our products together into a system-level offering. We talked about power modules, and we also looked at the SmartRun system, where the power train and thermal chain converge into a prefabricated white-space infrastructure block.

We are seeing significant demand closely tied to AI-factory-type data-centre deployments and the colocation market.

What is also interesting is the demand coming from the enterprise space. Enterprises increasingly want to realise AI in-house, and that is creating new infrastructure requirements that we are also catering for.

Does that challenge look different in hotter markets such as the Middle East?

In warmer markets, the constraint is actually less about the power itself and more about the thermal chain.

When you look at the heat-rejection plant, you need to consider different and more appropriate technologies for hotter climates in order to expel heat and deal with more extreme ambient conditions.

That becomes a particularly important part of infrastructure design in these markets.

With power availability becoming a major constraint globally, could on-site generation become more important for data centres?

On-site power generation is a major topic at the moment.

Part of that is because of the time it can take in certain markets to obtain the required permits and access to power. But on-site generation can also help facilities operate more efficiently.

It can provide a better way of addressing power requirements, particularly when there are load spikes, rather than relying entirely on the grid.

One important thing to understand is that it is inherently in the operator’s interest to make the data-centre system as efficient as possible.

Is the market moving towards complete infrastructure projects, or is there still strong demand for individual products?

It is a healthy mix.

There are obviously large-scale projects that we are working on, but we also have a very strong service business. At a product level, we continue to supply other parts of the market where our technologies are integrated into broader system architectures.

The shift towards system-level infrastructure is important, but that does not mean the individual product and service businesses disappear.

As GPU densities rise, how are liquid-cooling requirements evolving?

The evolution of GPUs is driving the requirement for more and more liquid cooling.

We are now also seeing liquid cooling interface with different parts of the IT stack rather than simply the GPUs themselves.

What is important to understand is the breadth of capability required to deploy liquid cooling at scale. We are talking about interfacing liquids directly with IT, and historically those two things have not operated in such close proximity.

That has changed rapidly with the rise of AI.

We have now deployed a significant number of installations globally and built substantial experience through our service organisation. It is not just about deploying coolant distribution units (CDUs); it also involves the secondary fluid network and taking a complete system-level approach.

That broader capability is where customers increasingly see the value we can bring to their projects.