Nomical’s new London hub

In an ever-evolving business world, location matters. With our established office in Manchester’s ABC building thriving as a key hub in the North, we’ve been looking for ways to bring our southern operations even closer to our clients around London. We’re excited to announce that Nomical’s southern office has officially relocated from Slough to a new site along the North Circular, providing improved accessibility for our team and better proximity to our growing base of clients in and around London.

Why the move? Strategic advantages for superior service

The decision to relocate to a location on the North Circular is more than just a change of scenery. This vital artery around London offers significant benefits for both our clients and our team. This move brings us closer to our southern client base, enabling greater flexibility, streamlined logistics, and quicker connections.

“This move marks an important step for us at Nomical,” says Simon Dunning, Chief Operating Officer. “After nearly 18 years of working closely with our clients, we know how valuable it is to be nearby and accessible. Being on the North Circular means we’re just that bit closer to our clients in London and the South. It’s not just about faster response times; it’s about being there when they need us most and understanding their challenges up close. Our team is truly energised by this new location, knowing we can respond quickly, be on-site faster, and have an even bigger impact for our clients.”

From surviving to thriving: digital transformation for SMEs

In today’s digital landscape, small and medium-sized enterprises (SMEs) face increasing pressure to modernise their operational processes. Digital transformation isn’t just a buzzword reserved for large corporations – it’s a strategy for businesses of all sizes to stay competitive, operate more efficiently, and offer better customer experiences. While the idea of overhauling systems may seem intimidating, the benefits of digital transformation far outweigh the costs.

Reasons to embrace digital transformation

1. stay competitive
   With consumer behaviour becoming increasingly digital, SMEs need technology to keep up. Those that leverage digital tools for streamlined operations and improved customer experiences gain a clear advantage over competitors who lag behind.
2. boost efficiency
   Outdated systems and manual processes are prone to errors and inefficiencies. Digital transformation automates routine tasks and simplifies workflows, freeing your team to focus on higher-value work.
3. long-term cost savings
   While initial costs can be a concern, digital investments such as cloud solutions reduce the need for expensive hardware and improve resource management, saving money in the long run.
4. data-driven decision making
   Digital tools, especially analytics platforms, provide real-time insights that allow SMEs to make smarter, quicker business decisions, whether improving customer service or refining operational strategies.

Key considerations for SMEs

Regardless of whether you choose cloud, on-premise, or a hybrid model, there are hidden costs that businesses should anticipate:

1. assess business needs
   Migrating to the cloud requires meticulous planning, data migration, and in some cases, re-architecting applications to be cloud compatible. Costs associated with downtime during migration or hiring specialised cloud migration teams must be considered.
2. start small and scale
   Cloud-based services rely heavily on internet bandwidth. Businesses may need to upgrade their connectivity infrastructure to ensure smooth operations and avoid latency issues. These additional costs, including higher internet speeds and secure VPNs for remote access, can become necessary to ensure consistent performance, particularly for businesses with high data volumes or real-time processing needs.
3. cultivate a digital-first culture
   While cloud services provide flexibility in scaling, businesses risk becoming dependent on a single vendor’s ecosystem. Transitioning between cloud providers – or back to on-site, can be costly, requiring additional migration efforts, reconfiguration, and potential downtime. This creates a long-term cost consideration that is sometimes missed in initial assessments.
4. prioritise security
   As your business becomes more digital, robust cybersecurity is essential. Implement strong protocols, such as encryption and multi-factor authentication, and partner with IT experts to protect your data and systems.

Key digital transformation initiatives

SMEs can implement digital transformation in simple, impactful ways. Moving to cloud-based systems ensures business continuity and flexibility, while automating tasks like invoicing or payroll boosts operational efficiency. Collaboration tools such as Microsoft Teams or Slack enhance remote working, and CRM systems like Salesforce can personalise customer interactions. Cybersecurity measures, including firewalls, encryption, and multi-factor authentication, protect sensitive data and ensure compliance. Chatbots and refined online customer journeys can streamline the customer experience, ensuring smoother, more responsive engagement. Analytics platforms also offer valuable data for better decision-making, and digital learning tools can help upskill employees to keep pace with the changes.

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The shift from reactive to proactive it planning

Historically, many companies approached IT from a reactive standpoint – dealing with problems as they occurred. But modern IT solutions are more than just a safety net for when things go wrong. Proactive IT planning focuses on predicting potential threats and minimising the risk of disruption before issues even arise. The goal is no longer just to recover from disruptions, but to design systems and processes that make significant interruptions less likely in the first place. Regular security audits are essential for identifying vulnerabilities in IT systems before they can be exploited. These audits should include a thorough review of hardware, software, and network configurations, as well as an assessment of potential human risks such as weak passwords or inadequate training.

Cloud infrastructure & data backups: essential for continuity

Cloud computing and data backups are no longer just nice-to-have components – they are critical to business continuity. Businesses that treat data as their most valuable asset understand the importance of comprehensive, automated backups alongside a robust recovery strategy. Cloud solutions, on-premises backups, and hybrid models allow data to be secured at multiple levels, ensuring quick recovery in case of system failures or data compromise. Cloud platforms offer added benefits, including flexibility, scalability, and redundancy, by mirroring data across multiple geographical regions, enabling rapid failover during an outage. However, backup systems alone aren’t enough – consider how long it would take to restore your systems and whether your business can operate effectively during recovery.

IT and cybersecurity: pillars of remote work and business continuity

The global shift to remote work revealed that businesses with strong IT systems adapted swiftly, while others struggled to equip their teams. Remote work is now the norm, but it involves far more than just video conferencing and cloud storage. Secure network access, collaboration tools, and seamless connectivity are essential. IT teams must create secure remote environments with VPNs, multi-factor authentication, and secure file-sharing, while proactively monitoring for security risks. A single cyberattack can disrupt operations, compromise sensitive data, and damage reputations. Modern IT strategies must integrate security at every level – from network monitoring and threat detection to employee training, which serves as the first line of defence. An effective disaster recovery plan also includes strategies for restoring systems, securing data, and maintaining communication with clients and stakeholders after an attack.

Automation and AI in predicting and mitigating risks

From automating routine tasks to predicting hardware failures, AI-driven insights can help businesses avoid downtime altogether. For example, predictive analytics tools can monitor the health of IT systems, flagging potential issues before they escalate into critical problems. Automation further reduces the need for manual interventions, whether it’s automatically spinning up additional servers during peak demand or rerouting network traffic to avoid disruptions. These technologies take the guesswork out of IT management and enable businesses to stay one step ahead of potential threats.

Cloud costs vs. on-premise: understanding the real financial impact

When businesses evaluate their IT infrastructure, the choice between cloud and on-site systems is not always straightforward. Each option offers distinct advantages, but understanding the full financial picture, including both obvious and hidden costs, can help businesses make informed decisions. In this article, we’ll explore the financial impacts of cloud computing versus on-site infrastructure, the potential of hybrid models, and how to navigate these choices effectively.

Breaking down the costs

1. capital expenditure (CapEx) vs. operational expenditure (OpEx)
   On-Premise: Traditional IT infrastructure requires a large upfront capital investment. This includes purchasing servers, storage systems, networking hardware, and software licenses, as well as establishing physical data centres. The ongoing costs of maintenance, depreciation, and periodic hardware replacements further add to the burden, creating a significant CapEx outlay.
   Cloud: The cloud shifts this model by converting CapEx into OpEx. Businesses pay for cloud services on a subscription basis, typically aligned with usage. This ‘pay-as-you-go’ model improves cash flow by smoothing expenses over time and reduces the risk of over- or under-investing in capacity. However, cloud services don’t completely eliminate hardware needs – routers, edge devices, and local storage are still often necessary for connectivity and performance.
2. maintenance and operational costs
   On-Premise: Maintenance, security updates, and patch management are in-house responsibilities, requiring IT teams and regular investments in to keep up with technological changes. The ongoing operational costs include staffing, electricity, cooling for data centres, and eventually replacing outdated hardware.
   Cloud: Cloud providers handle maintenance, software updates, and hardware upgrades, reducing the burden on internal IT teams. For businesses with smaller IT teams, this can result in significant savings. However, businesses still require hardware like routers and network infrastructure for efficient cloud connectivity.

Hidden costs to consider

Regardless of whether you choose cloud, on-premise, or a hybrid model, there are hidden costs that businesses should anticipate:

1. migration costs
   Migrating to the cloud requires meticulous planning, data migration, and in some cases, re-architecting applications to be cloud compatible. Costs associated with downtime during migration or hiring specialised cloud migration teams must be considered.
2. bandwidth and latency
   Cloud-based services rely heavily on internet bandwidth. Businesses may need to upgrade their connectivity infrastructure to ensure smooth operations and avoid latency issues. These additional costs, including higher internet speeds and secure VPNs for remote access, can become necessary to ensure consistent performance, particularly for businesses with high data volumes or real-time processing needs.
3. vendor lock-in
   While cloud services provide flexibility in scaling, businesses risk becoming dependent on a single vendor’s ecosystem. Transitioning between cloud providers – or back to on-site, can be costly, requiring additional migration efforts, reconfiguration, and potential downtime. This creates a long-term cost consideration that is sometimes missed in initial assessments.

Scalability and operational efficiencies

• on-premise: Scaling on-premise infrastructure is complex and expensive. Growth demands more hardware and scaling down leaves businesses with unused capacity and sunk costs.
• cloud: Cloud platforms allow for dynamic scaling, meaning businesses can adjust resources on demand, paying only for what they use. This flexibility is particularly useful for companies with fluctuating workloads or seasonal demand.

Cloud solutions also offer operational efficiencies through centralised IT management and automation, reducing the need for constant manual updates. This enables faster adoption of emerging technologies like AI and machine learning, ensuring businesses stay future-ready.

Hybrid infrastructure: a balanced approach

Many businesses are adopting a hybrid infrastructure model, combining on-premise servers with cloud-based solutions. This approach allows companies to keep critical applications or sensitive data on-site while leveraging the cloud for backups, disaster recovery, or handling fluctuating workloads. Benefits of a hybrid infrastructure include:

• control and flexibility: Businesses can maintain greater control over sensitive data and key applications by keeping them on-premise, while still enjoying the flexibility and scalability of cloud resources for non-essential tasks or overflow.
• cost management: Using the cloud for dynamic workloads reduces the need for investing in additional on-premise hardware that may only be needed sporadically.
• business continuity: By having both on-premise and cloud options, companies can ensure business continuity during outages or emergencies, with the cloud acting as a backup or failover solution.

IoT’s role in shaping smarter, sustainable cities

The idea of smart cities is no longer confined to the future – it is happening now. Cities across the globe are harnessing the power of the Internet of Things (IoT) to create more sustainable, efficient, and responsive urban environments. From reducing energy consumption to optimising traffic management, IoT is playing a pivotal role in revolutionising how cities function, all while accelerating progress towards critical sustainability goals.

How IoT drives sustainability in urban planning

IoT technology lies at the heart of smart city innovation, offering real-time data and actionable insights that empower urban planners and city administrators to make smarter, more informed decisions. Connected devices such as sensors, cameras, and meters, monitor vital systems, including energy grids, transportation networks, and waste management. This wealth of data allows cities to streamline operations, optimise resource use, and enhance overall efficiency.

1. intelligent energy management
   One of the most significant impacts of IoT in cities is its ability to monitor and reduce energy consumption. By integrating IoT sensors into public utilities and buildings, cities can track energy use in real time and adjust systems accordingly. For example, smart lighting adjusts brightness based on natural light levels or pedestrian activity, reducing energy wastage. In Barcelona, IoT-enabled street lighting dims during off-peak hours, brightening only when movement is detected, cutting energy consumption by 30%.
2. efficient waste management
   Smart waste management solutions, powered by IoT sensors, allow cities to optimise collection routes and schedules by providing real-time data on bin fill levels. This leads to fewer collection trips, reduced fuel consumption, and lower carbon emissions from waste collection vehicles. Cincinnati’s waste management system uses IoT sensors to track bin capacity, reducing collection costs by 17% and lowering vehicle emissions through more efficient routing.
3. traffic flow optimisation and emission reduction
   IoT technology is transforming urban traffic management, with sensors and cameras monitoring congestion and adjusting traffic signals to improve flow. This results in less gridlock, reduced travel times, and a drop in vehicle emissions. London’s IoT-enabled traffic management system has improved flow by 10% and reduced CO2 emissions by 12%, enhancing air quality.
4. water conservation
   Smart water meters connected to IoT networks help cities detect leaks early, allowing for swift repairs that save water and reduce the energy needed for water treatment and distribution. Singapore’s Public Utilities Board uses IoT-powered meters to track usage and identify leaks, leading to a 15% reduction in water loss.

Beyond resource management, IoT is also transforming urban mobility, creating more efficient transportation systems and reducing the reliance on private vehicles.

1. public transportation
   IoT-powered predictive analytics help cities optimise bus, tram, and train schedules based on real-time passenger demand. This not only improves the efficiency of public transport but also reduces energy consumption. Helsinki’s smart public transportation system uses IoT sensors to track vehicle locations, improving punctuality by 15% and cutting fuel consumption by reducing idle times at stops.
2. electric vehicle (EV) charging networks
   With the increasing adoption of electric vehicles, IoT-enabled charging stations allow drivers to locate chargers and adjust rates based on real-time energy demand. Amsterdam’s network of over 4,000 smart charging stations dynamically adjusts prices according to energy availability, contributing to a 20% annual increase in EV adoption.

Challenges and the path forward

Smart cities are not just a glimpse of tomorrow – they are already shaping the way we live today. While IoT holds tremendous promise in building sustainable cities, several challenges remain. Infrastructure costs, data security, and the need for different systems to communicate and work together effectively are critical hurdles. Furthermore, privacy concerns around data collection must be carefully addressed to maintain public trust.

Despite these obstacles, the benefits of IoT in urban sustainability are undeniable. Collaboration between technology providers, city governments, and private enterprises will be essential to building scalable, secure, and seamlessly connected IoT ecosystems. Cities that successfully navigate these challenges will be better positioned to reap the rewards of smarter, more efficient urban living.

IoT and cybersecurity: how to secure a world of connected devices

The rise of the Internet of Things (IoT) has ushered in an era of unprecedented connectivity, enabling devices to collect, share, and process data on a massive scale. From healthcare to industrial automation, IoT is transforming how businesses and individuals interact with technology. However, this surge in connected devices also introduces new cybersecurity challenges, many of which are unique to the IoT ecosystem. As millions of devices come online, businesses must adopt advanced strategies to safeguard their networks and protect sensitive data.

The complex security landscape of IoT

IoT devices differ from traditional IT infrastructure in several ways, making them particularly vulnerable to cyber threats. Unlike standard computers or servers, IoT devices often have minimal computing power, limited memory, and simple operating systems, leaving little room for robust security features. Manufacturers frequently focus on functionality and cost-effectiveness, often treating security as an afterthought.

Additionally, IoT devices are typically deployed in large numbers and scattered across diverse environments – ranging from hospitals to power grids, making centralised security management difficult. These devices are constantly communicating with one another, transferring vast amounts of data. Each touchpoint becomes a potential attack vector for cybercriminals.

Key IoT security risks

1. device vulnerabilities
   Many IoT devices come with weak default credentials like factory-set passwords, making them easy targets for hackers. Insecure firmware and the lack of regular updates further expose critical vulnerabilities.
2. data interception
   IoT devices transmit sensitive information across networks, often without encryption. Without end-to-end encryption, this data can be intercepted in transit, putting personal, financial, or even national security information at risk.
3. botnet attacks
   Cybercriminals often hijack poorly secured IoT devices to create botnets capable of launching large-scale DDoS attacks, overwhelming systems and causing widespread disruption.
4. privacy concerns
   IoT devices collect vast amounts of data, often without users’ knowledge or explicit consent. In sectors like healthcare, where IoT devices monitor patient health, unauthorised access to this data could lead to devastating privacy breaches.

Advanced strategies for securing IoT ecosystems

The growing complexity of IoT networks requires a multi-layered approach to cybersecurity. Organisations must invest in both proactive and reactive strategies to safeguard their IoT ecosystems.

1. IoT device authentication
   Strong authentication methods, such as Multi-Factor Authentication (MFA) and digital certificates, can help ensure only authorised users and devices can access the IoT network. Regularly updating passwords and security configurations further limits vulnerabilities.
2. end-to-end encryption
   Encrypting data both at rest and in transit ensures that even if data is intercepted, it cannot be accessed or modified without the encryption keys. Encryption protocols such as TLS (Transport Layer Security) should be applied to all IoT communications.
3. regular patching and firmware updates
   Keeping IoT devices updated with the latest security patches is crucial to closing known vulnerabilities. Businesses need to establish a protocol for regular reviews and updates, particularly since many IoT devices lack automatic update mechanisms.
4. network segmentation
   Segmenting IoT devices from the main network helps contain potential attacks. Creating isolated zones for IoT devices can limit the spread of threats, preventing hackers from moving laterally across systems.
5. AI-powered threat detection
   Given the vast scale of IoT deployments, AI-powered systems can monitor network traffic in real-time to identify suspicious activity faster than traditional methods. These systems continuously learn from data patterns, allowing them to predict and prevent attacks more efficiently.
6. zero trust architecture
   Implementing a Zero Trust approach, where no device is trusted by default, requires continuous identity verification. This reduces the risk of insider threats or unauthorised access, as each device must prove its credentials before accessing network resources.

High-profile IoT breaches: lessons from real-world attacks

The increasing connectivity of devices has provided hackers with numerous entry points into networks, resulting in some high-profile breaches that reveal the critical vulnerabilities of IoT systems. These examples highlight the real-world risks associated with insecure IoT devices and the consequences of inadequate security measures across various sectors.

• mirai botnet attack: The Mirai botnet is one of the most infamous IoT-related cyberattacks, which saw hackers exploiting insecure IoT devices like IP cameras, routers, and digital video recorders in 2016. Using default or weak passwords, attackers took control of these devices to launch massive Distributed Denial of Service (DDoS) attacks. Major websites like Twitter, Netflix, and CNN were affected, demonstrating the widespread damage that can result from poor IoT security.
• cyberattack on a florida water treatment plant: In a chilling example of the dangers posed by insecure IoT systems, hackers gained access to the control systems of a Florida water treatment plant in 2021. Using remote access software, they attempted to increase the levels of sodium hydroxide (lye) in the water supply to dangerous levels. The quick intervention of a plant operator prevented a public health disaster, but this incident exposed the vulnerability of critical infrastructure to cyberattacks.
• st. jude medical cardiac device vulnerability: In 2017, vulnerabilities were found in St. Jude Medical’s cardiac devices, including pacemakers and defibrillators, which could be exploited by hackers to drain batteries or deliver incorrect pacing shocks. This posed a significant risk to patients relying on these devices for life-saving treatment. Though the vulnerabilities were eventually patched, the incident served as a warning for the healthcare industry about the potential consequences of poorly secured IoT medical devices.
• medtronic pacemaker vulnerability (2018): In another alarming case within the healthcare industry, vulnerabilities in Medtronic pacemakers were discovered, which could allow hackers to change device settings, potentially putting lives at risk. These pacemakers, which communicate with healthcare providers over IoT networks, highlight the severe consequences of security flaws in critical medical devices.
• jeep cherokee hack (2015): Researchers demonstrated the dangers of connected vehicles when they remotely hacked a Jeep Cherokee through its Uconnect system. By gaining access to the vehicle’s entertainment system, they were able to control essential functions like steering and brakes. This well-publicised hack raised awareness about the security risks associated with connected cars and the need for stringent safeguards.
• tesla model S hack: In 2016, security researchers remotely hacked a Tesla Model S through its infotainment system, gaining control over critical functions such as braking and steering. While Tesla quickly released a software update to patch the vulnerability, the incident highlighted the risks associated with connected vehicles and the importance of robust cybersecurity in IoT-enabled cars.
• amazon ring camera hack: In 2019, hackers gained access to several Amazon Ring cameras in homes, exploiting weak security practices like using default login credentials. In some cases, hackers were able to spy on or harass homeowners. This breach exposed the privacy risks associated with consumer IoT products and the growing need for stronger security protocols in smart home devices.

Satellite internet: opportunities, challenges, and its impact on businesses and consumers

With more than a third of the world’s population still lacking access to reliable internet, satellite services like Starlink are stepping into the spotlight, offering the promise of high-speed connectivity even in the most remote corners of the globe. Beaming internet from space may sound futuristic, but for businesses, consumers, and industries, it’s fast becoming a reality – changing how we connect, work, and operate.

However, while satellite internet holds immense promise, it also comes with challenges. In this article, we’ll explore its advantages and limitations, its potential to disrupt traditional broadband, and its wider implications for industries, sustainability, and global communications.

The advantages of satellite internet

1. global connectivity
   The most compelling benefit of satellite internet is its ability to provide universal access. Unlike fibre-optic and traditional broadband systems, which require expensive and time-consuming physical infrastructure, satellites can deliver internet to remote or underserved areas almost instantly. This is especially valuable for rural communities, nomadic lifestyles, and industries like agriculture, shipping, mining, and aviation, which have long struggled with connectivity challenges.
   Nomical has seen first-hand the difference satellite internet can make. In one case, when a customer struggled with inadequate upload speeds for video calls due to slow local broadband, Nomical recommended Starlink as a solution, but the process wasn’t entirely seamless. Access to the roof was required for optimal satellite positioning, and obtaining permission from landlords to install on rooftops can be a hurdle. These operational challenges are often overlooked but must be factored in when considering satellite installations.
2. remote work and digital nomadism
   As remote working continues to grow, satellite internet is enabling professionals to work from nearly any location. Digital nomads and businesses with remote offices can access high-speed internet without depending on fixed broadband lines, reshaping the way people work and live. The ability to remain connected, regardless of location, allows for a true work-life balance, where you can stay productive without being tied to urban centres.
3. business continuity and disaster recovery
   For businesses, satellite internet offers a crucial fallback during natural disasters or infrastructure failures. Traditional broadband is vulnerable to physical damage – whether from floods, storms, or fires – but satellite systems remain unaffected. This makes them an ideal solution for disaster recovery and business continuity planning. Industries that rely on 24/7 operations, such as healthcare, finance, or critical infrastructure, benefit from having satellite connectivity as part of their resilience strategy.
   Nomical has also leveraged satellite internet to help businesses open new sites faster. For some businesses, installing a new leased line can take up to four months. With satellite internet services like Starlink, companies can get online instantly, significantly reducing the time it takes to open a new location. This allows businesses to start generating revenue sooner, a clear advantage in today’s competitive market.
4. low latency and high speeds (in the right conditions)
   While previous satellite systems were hampered by slow speeds and high latency, modern low-Earth orbit (LEO) satellites, such as those used by Starlink, are changing that. These satellites operate much closer to Earth than traditional geostationary satellites, significantly reducing latency and allowing for speeds comparable to terrestrial broadband in many areas.

The challenges of satellite internet

1. high initial costs
   A significant drawback is the cost of installation and equipment. Consumers and businesses alike must invest in satellite dishes, modems, and other hardware, which can be expensive. Integrating satellite internet into an existing IT network may also require additional upgrades or adjustments, adding to the total cost. While the long-term benefits may be high, these upfront costs can be a deterrent.
2. weather dependency
   Satellite signals are susceptible to interference from severe weather conditions. Heavy rain, snow, and dense cloud cover can degrade the quality of service or cause temporary outages. For businesses or critical systems relying on a consistent, stable connection, this weather dependency can pose a serious issue.
3. challenges with installation and landlord permissions
   While satellite internet can be a quick and effective solution, securing permission to install it can pose challenges. Installing Starlink or similar systems requires a clear view of the sky, which often means mounting hardware on the roof. Obtaining permission from landlords to install the hardware required can be a sticking point, and not all buildings are suitable to mount to or offer restricted views of the sky.
4. environmental and regulatory concerns
   As the number of satellites in space multiplies, so do concerns about space debris and the environmental impact of satellite launches. Regulatory bodies must address issues like overcrowded orbits and potential collisions. In addition, companies must grapple with the environmental costs of manufacturing and launching thousands of satellites, even as they push for sustainable innovations like reusable rockets. By 2025, it’s estimated that there will be over 50,000 satellites orbiting the Earth, raising concerns about space traffic and debris.

The future of satellite internet: disruption and innovation

1. disruptive potential in business
   Satellite internet is set to disrupt industries that have long struggled with reliable connectivity. For sectors like shipping, aviation, agriculture, and mining – where operations often take place in geographically isolated locations – satellite connectivity could enable real-time monitoring, IoT integration, and remote operations management.
   Small and medium-sized enterprises (SMEs) in rural areas also stand to benefit. Satellite internet can give these businesses access to cloud-based tools, e-commerce platforms, and virtual communication technologies, allowing them to compete more effectively on a global scale.
2. the 5G-satellite hybrid
   As 5G networks expand, there is growing potential for a hybrid approach where satellite internet acts as a backhaul for 5G in remote or hard-to-reach areas. This convergence of technologies would enable seamless connectivity across regions where building out terrestrial 5G infrastructure is not feasible. Such a partnership could dramatically accelerate global high-speed internet access, particularly in emerging markets.
3. sustainability and the green potential of satellite internet
   Satellite internet may also contribute to sustainability goals. Unlike traditional broadband infrastructure, which often requires significant environmental disruption, satellite systems can be deployed with minimal impact on the ground. Moreover, advancements in space technology, such as reusable rockets, are helping reduce the carbon footprint of launching satellites.
   However, managing the long-term sustainability of space will be crucial. With thousands of satellites expected to launch in the coming years, space debris and satellite deorbiting will need careful oversight to ensure that the space environment remains sustainable.

Satellite internet and the future of IoT in smart cities

One of the most exciting applications of satellite internet is its potential to power IoT ecosystems within smart cities. In urban environments, IoT devices connected via satellite could help optimise energy consumption, reduce waste, and improve infrastructure management. Cities in developing countries, where terrestrial internet is limited, may leapfrog traditional networks and adopt satellite-based IoT solutions to manage everything from traffic systems to air quality monitoring.

As smart cities rely increasingly on data-driven insights, satellite internet will play a critical role in providing global reach for interconnected, eco-friendly urban solutions.

How accessible AI tools are changing the game

Artificial Intelligence (AI) is no longer just a concept from science fiction; it’s now a transformative force reshaping industries and our daily lives. The increasing accessibility of AI tools is not just changing the game; it’s rewriting the rules. This article explores the profound impact of AI accessibility, highlighting both the potential rewards and risks, and offering strategic insights for businesses navigating this evolving landscape.

AI’s impact on productivity: balancing automation and human creativity

The increasing availability of AI brings significant productivity gains by automating routine tasks, allowing humans to focus on complex and creative work. For instance, AI-driven automation in manufacturing has reduced operational costs by up to 30%, according to research by IBM. However, this shift also raises ethical concerns about job displacement. A McKinsey report suggests that while AI could displace 400 million jobs by 2030, it could also create 555 million new roles by fostering new industries and enhancing productivity in existing ones. These new roles will likely emerge in sectors such as healthcare, technology, and green energy, where AI can drive innovation and efficiency.

Enhancing data security and privacy: a double-edged sword

AI’s role in data security is pivotal. AI-driven tools excel at detecting threats, identifying anomalies, and automating responses to security breaches. For instance, Darktrace’s AI technology has been instrumental in preventing cyberattacks in by learning the normal behaviour of users and devices, allowing it to identify deviations indicative of threats. However, the use of AI in data collection and analysis raises significant privacy concerns. Ensuring compliance with regulations like the General Data Protection Regulation (GDPR) is crucial. Businesses must adopt transparent data practices and robust security measures to protect user privacy.

AI in customer experience: personalisation at scale

AI excels at analysing customer data to predict trends and personalise marketing strategies, allowing businesses to tailor their offerings to meet specific needs and enhance customer satisfaction. AI-powered chatbots and virtual assistants provide instant support, improving the customer experience with timely and accurate responses. For example, HSBC’s digital assistant Amy in Hong Kong branches handles various enquiries, reducing wait times and freeing up staff for complex tasks, which led to a 20% reduction in general customer service calls. Whilst Sephora’s chatbot offers personalised beauty advice and product recommendations, integrated with Facebook Messenger, resulting in a reported 11% higher conversion rate among users who interacted with it.

Industry-specific AI applications: beyond automation

AI is making significant strides in various sectors, enhancing rather than replacing human work. In healthcare, AI algorithms assist doctors in diagnosing diseases with higher accuracy than traditional methods. For example, research conducted by Google’s DeepMind in collaboration with Moorfields Eye Hospital has developed an AI system that can diagnose eye diseases as accurately as world-leading experts. At the European Society for Medical Oncology (ESMO) conference, new AI-driven approaches were presented that combine cancer treatments in innovative ways to improve patient outcomes. Ensuring ethical AI use in healthcare involves informed consent, data privacy, transparency, and minimising biases through robust governance. Continuous monitoring ensures AI systems perform safely and effectively.

In education, AI tools are revolutionising the learning experience by providing personalised education tailored to individual needs and learning paces.

Meanwhile, in finance, AI-driven analytics are transforming market trend analysis and decision-making. AI algorithms process vast amounts of financial data to forecast trends and provide real-time insights, enabling financial institutions to optimise portfolios, anticipate risks, and drive better financial outcomes. For example, AI-powered fraud detection systems, like those used by PayPal, analyse transaction patterns to identify and prevent fraudulent activities.

The future workforce: bridging the skills gap and preparing for an AI-driven future

As AI continues to evolve, the demand for specific skills is intensifying. Technical expertise in AI, machine learning, data analysis, and programming is becoming indispensable. Equally important are soft skills such as critical thinking, creativity, and emotional intelligence, which enable individuals to complement AI’s capabilities by focusing on tasks requiring human judgment and empathy.

To fully leverage AI’s potential, companies must prepare their workforce through comprehensive training programmes that upskill employees with AI knowledge and technical skills. Effective change management strategies are crucial for smooth transitions, involving employees in the integration process, providing continuous feedback, and addressing concerns promptly.

At Nomical, we are at the forefront of this transformation. For example, we help businesses with Microsoft licenses leverage Copilot to significantly enhance productivity and collaboration. In Word, Excel, and PowerPoint, Copilot assists in drafting documents, analysing data, and creating presentations. In Teams and Outlook, it improves communication by summarising meetings and automating email responses. Additionally, Copilot ensures data security and compliance through Microsoft Purview and supports custom solutions and strategic insights with Business Chat and Copilot Pages. By integrating these tools, we enable companies to streamline operations, drive innovation, and maintain a competitive edge.

Embracing AI is not just about adopting new technology; it’s about transforming the way we work and unlocking new possibilities for growth and success. Companies must invest in continuous learning and development to bridge the skills gap and prepare their workforce for the AI-driven future, ensuring that human and artificial intelligence work harmoniously to drive progress.

Wi-Fi insights: little-known facts and emerging technologies

Wi-Fi is an essential part of our daily lives, but there’s a lot more to it than just connecting to the internet. From its surprising origins to its incredible capabilities, Wi-Fi is full of fascinating stories and facts that you might not know. Let’s dive into some of the most intriguing aspects of this ubiquitous technology.

1. the name “Wi-Fi” doesn’t mean anything
   Contrary to popular belief, “Wi-Fi” doesn’t stand for “Wireless Fidelity.” The name was simply chosen by a marketing firm to be catchy, like “Hi-Fi” for high-fidelity audio. It’s just a brand name!
2. Wi-Fi could be older than you think
   The group that developed the IEEE 802.11 standards, which Wi-Fi is based on, first met in 1990. That’s over 30 years ago!
3. the first Wi-Fi was invented by accident
   In parallel, Australian radio astronomer Dr. John O’Sullivan and his team were conducting research in the early 1990s that inadvertently contributed to the development of Wi-Fi technology. Their work on detecting mini black holes led to a key patent used in Wi-Fi.
4. Wi-Fi on mount everest
   Yes, even the world’s highest mountain, Mount Everest, has Wi-Fi! It was installed at Everest Base Camp, allowing climbers to stay connected with the world – even from 17,600 feet above sea level.
5. the future of Wi-Fi is underwater
   Researchers are working on “Aqua-Fi,” a Wi-Fi-like technology that would allow divers and underwater drones to communicate wirelessly underwater. This could revolutionise underwater exploration and research.
6. Wi-Fi signals can map indoor locations and detect movements
   Wi-Fi signals are incredibly versatile. Google Maps and other location services use them to map the inside of buildings, allowing your phone to pinpoint your exact location even when GPS signals are weak. Additionally, researchers have developed methods to use Wi-Fi signals to detect motion within a room, monitoring a person’s location, speed, and even their breathing rate without the need for cameras or sensors.
7. Wi-Fi can be used to power devices
   Some researchers have developed ways to harvest energy from Wi-Fi signals to power small devices like sensors and low-power electronics. This could lead to a future where your devices are powered wirelessly!
8. the fastest Wi-Fi ever recorded
   The fastest Wi-Fi speed ever recorded was an astonishing 100 Gbps (gigabits per second) by researchers in Germany. That’s over 10,000 times faster than the average home Wi-Fi speed!
9. distance record
   The Swedish Space Agency holds the record for the longest Wi-Fi transfer, achieving 420 kilometres (about 260 miles) using high-powered amplifiers.
   
10. Wi-Fi and Li-Fi integration
    The future of wireless connectivity might see the integration of Wi-Fi and Li-Fi (Light Fidelity). Li-Fi uses light waves instead of radio waves to transmit data, offering speeds up to 100 times faster than traditional Wi-Fi. This hybrid approach could provide ultra-fast, secure, and interference-free internet connections.
    

Cybersecurity in the age of remote and hybrid work

As remote and hybrid working models become the new norm, businesses across all sectors are grappling with the challenges of ensuring robust cybersecurity. While these flexible working arrangements offer tremendous benefits such as improved work-life balance, reduced operational costs, and access to a broader talent pool – they also expose companies to new vulnerabilities. When employees are no longer confined to a central, secure office network, the risk of cyber threats multiplies, making cybersecurity more complex but also more critical than ever.

At Nomical, we’ve seen first-hand how these risks have intensified for businesses with distributed workforces. Here’s how you can bolster your organisation’s security strategy in this new era of work.

The changing threat landscape

Cybercriminals are quick to exploit new opportunities, and the shift towards remote work has created countless entry points into corporate systems. A few of the most pressing threats include:

• phishing attacks: Employees are more likely to be targeted by phishing emails when they work outside of the office environment. Lacking the immediate support of IT teams, they might inadvertently click on malicious links, exposing sensitive data.
• unsecured networks: Personal Wi-Fi and public networks are far less secure than office networks. Hackers can exploit these vulnerabilities to gain access to company data.
• personal devices: When employees use their own devices, businesses lose control over security standards, increasing exposure to malware and breaches.
• weak passwords and poor authentication: In a remote setting, weak passwords, re-used across multiple accounts, can become a major liability. Without multi-factor authentication (MFA), a compromised password could be all that’s needed to access your business systems.
• lack of regular patching: Remote work makes it harder for IT teams to enforce timely software updates and security patches, leaving systems open to attack.

Steps to strengthen cybersecurity in remote/hybrid work environments

To stay protected, businesses must go beyond traditional security measures. Here’s what Nomical recommends:

1. adopt a zero trust security model
   In a Zero Trust framework, no one – whether inside or outside the network – is trusted by default. Every user and device must continuously verify their identity and access level. This reduces the risk of breaches by limiting exposure from compromised credentials or devices.
2. secure home office networks
   Provide employees with clear guidelines on how to secure their home networks. Encourage the use of strong passwords, WPA3 encryption, and VPNs (Virtual Private Networks) to encrypt internet traffic, making it much harder for hackers to intercept sensitive data.
3. issue company devices
   Where possible, equip your team with company-issued devices that come with built-in security software, firewalls, and automated updates. If your business allows personal devices such as phones or tablets to be used, enforce strict device management protocols, including endpoint security and regular audits.
4. conduct regular cybersecurity training
   The best defence is a well-informed team. Equip employees with the skills to identify phishing attacks, implement strong password practices, and understand the importance of data security. Cybersecurity awareness needs to be regularly refreshed to keep up with evolving threats.
5. leverage cloud security
   Cloud-based solutions offer advanced security features—such as encryption, continuous monitoring, and MFA—built into the platform. Cloud services make it easier to manage security for distributed teams, ensuring consistent protection across all locations.
6. regularly update software and patches
   Security patches and software updates are essential to protect against the latest vulnerabilities. Automate updates wherever possible and set policies to ensure that critical updates are applied promptly, regardless of where employees are working.
7. control access to data
   Not everyone needs access to everything. Implement Role-Based Access Control (RBAC) to limit the amount of sensitive data any one employee can access. Regularly audit and adjust these permissions to ensure compliance and security.
8. conduct regular audits & plan for incidents
   Conducting regular security audits is essential to stay ahead of emerging threats. Regularly review your current security measures and adjust them as necessary to address new vulnerabilities. Additionally, develop and maintain an Incident Response Plan to act swiftly and effectively if a breach does occur. Fast, coordinated responses can mitigate damage and reduce recovery time.

Real-world case studies: learning from large-scale breaches

Even the biggest companies can fall victim to cyberattacks. Here are three high-profile examples that underscore the importance of robust cybersecurity:

1. Yahoo data breach (2013)
   One of the largest breaches in history, affecting 3 billion accounts. Stolen data was eventually found for sale on the dark web, showing the long-term consequences of data breaches.
2. LinkedIn data breach (2021)
   In 2021, LinkedIn suffered a data scraping breach that compromised the personal information of 700 million users. This breach demonstrates the risks posed by improperly secured data on large platforms.
3. Marriott international data breach (2018)
   This breach exposed the sensitive information of 500 million guests. Once again, the stolen data was discovered on the dark web, highlighting the global consequences of failing to secure personal information.

• enhanced reputation: Companies that actively embrace sustainability improve their brand image and appeal to a growing market of eco-conscious consumers and partners.
• cost savings: Energy-efficient technologies reduce operational costs in the long run, and fewer resources are wasted on inefficient processes and hardware.
• future-readiness: Staying ahead of environmental regulations allows businesses to be more agile and adaptable, avoiding disruptions or expensive fines.
• competitive edge: Sustainability is becoming a differentiator. Companies that lead in this space are seen as innovative and aligned with future-focused markets.

Looking forward: the future of cybersecurity in remote work

The shift to remote and hybrid work is permanent for many organisations, and businesses need a cybersecurity framework that can evolve with this change. Security isn’t just about reacting to threats – it’s about prevention, vigilance, and maintaining a strong, adaptable defence.

At Nomical, we provide cutting-edge, tailored IT solutions to help businesses secure their operations, no matter where their teams are located. Whether it’s refining your cybersecurity strategy, ensuring compliance, or network security, we can help.

Get in touch with us today to find out how Nomical can future-proof your business against cybersecurity threats.

Green IT: driving sustainability in modern it infrastructure

As the world grapples with the pressing challenges of climate change, the IT industry is stepping up to play a pivotal role in driving sustainability. The concept of Green IT is gaining momentum, focusing on reducing the environmental impact of IT operations and infrastructure. This article delves into the Green IT revolution, exploring how sustainable practices are transforming the future of IT infrastructure and why.

The rise of Green IT

Green IT encompasses a range of practices aimed at improving the environmental sustainability of IT operations. This includes reducing energy consumption, minimising electronic waste, and adopting eco-friendly technologies. The rise of Green IT is driven by several factors:

• regulatory pressures: With governments implementing stricter environmental regulations, companies must adapt or face penalties.
• corporate responsibility: Businesses are now expected to align their operations with sustainability goals, driven by growing demands from consumers, investors, and employees.
• cost savings: Sustainable practices often lead to significant cost savings through reduced energy consumption and improved efficiency.

Key sustainable IT practices

Green IT involves rethinking the way we design, manage, and maintain IT infrastructure. Some of the most impactful practices include:

• energy-efficient data centres: Data centres account for a significant portion of the world’s energy consumption. Modernising these centres with energy-efficient cooling systems, renewable energy sources, and better resource management can drastically cut their carbon footprint while optimising performance.
• virtualisation and cloud computing: By virtualising workloads and shifting to cloud-based environments, businesses can reduce the need for physical servers, lowering both energy use and hardware requirements. This approach offers not only environmental benefits but also operational scalability and flexibility.
• sustainable hardware: Prioritising long-lasting, energy-efficient devices made from recycled or responsibly sourced materials is a critical step in reducing e-waste. Forward-thinking companies are now embracing sustainable hardware lifecycle management, which includes efficient repair, recycling, and refurbishment strategies.
• e-waste management: Proper disposal and recycling of electronic waste (e-waste) are critical for minimising environmental harm. Implementing comprehensive e-waste management programs helps ensure that discarded electronics are recycled responsibly, reducing the amount of waste that ends up in landfills.
• remote work infrastructure: The shift to hybrid and remote working models has also contributed to sustainability goals. By enabling remote work with secure IT setups and virtual collaboration tools, businesses can reduce travel-related emissions, and the energy demands of office spaces.
• green software and optimisation: Sustainable software design that prioritises energy efficiency – whether through optimised code or more efficient data processing, can also make a significant impact. It’s not just about hardware; software optimisation can result in lower energy consumption across IT ecosystems.

The business case for Green IT

Green IT isn’t just about meeting regulatory or ethical standards. It’s a forward-thinking business strategy that delivers measurable benefits, such as:

• enhanced reputation: Companies that actively embrace sustainability improve their brand image and appeal to a growing market of eco-conscious consumers and partners.
• cost savings: Energy-efficient technologies reduce operational costs in the long run, and fewer resources are wasted on inefficient processes and hardware.
• future-readiness: Staying ahead of environmental regulations allows businesses to be more agile and adaptable, avoiding disruptions or expensive fines.
• competitive edge: Sustainability is becoming a differentiator. Companies that lead in this space are seen as innovative and aligned with future-focused markets.

Real-world leaders in Green IT

Several companies are setting the standard for sustainable practices in the IT industry. HP aims to become carbon neutral by 2040 and is investing in sustainability research to achieve zero waste across all operations by 2025. Dell Technologies plans to reach net zero greenhouse gas emissions by 2050 and is committed to reusing or recycling an equivalent product for every product sold by 2030. Google is investing heavily in renewable energy to power its data centers and aims to operate entirely on carbon-free energy by 2030. Microsoft has committed to becoming carbon negative by 2030, investing in sustainable data centers, and leveraging AI to optimise energy usage. Apple focuses on creating products with a smaller carbon footprint, using recycled materials, and achieving a closed-loop supply chain. IBM aims to achieve net zero greenhouse gas emissions by 2030 and plans to divert 90% of non-hazardous waste from landfill and incineration by 2025. These giants demonstrate that sustainability and profitability go hand in hand, and their investments in Green IT are shaping the future of the industry.

Coding milestones: a journey through the history of programming

The world of coding has come a long way since its inception, evolving from simple punch cards to the powerful, complex languages we use today. Understanding these milestones not only helps us appreciate our technological progress but also sheds light on the foundations of modern computing. During National Coding Week, let’s explore some key moments that have shaped the history of coding.

1. The birth of the first programming language (1843)

Ada Lovelace, often credited as the world’s first computer programmer, wrote the first algorithm intended to be processed by a machine in 1843. Collaborating with Charles Babbage on his pioneering mechanical computer, the Analytical Engine, Lovelace’s work laid the groundwork for future programming languages, making her a visionary in computing history.

2. The creation of FORTRAN (1957)

FORTRAN, short for “Formula Translation,” was developed by IBM in the 1950s. It is widely considered the first high-level programming language, allowing engineers and scientists to write complex equations and calculations more intuitively. FORTRAN’s creation marked a major leap in making programming more accessible and efficient.

3. The invention of C Language (1972)

Dennis Ritchie at Bell Labs developed the C programming language in 1972, which became one of the most influential programming languages in history. C’s design influenced many subsequent languages, including C++, Java, and Python. Its efficiency and flexibility made it ideal for system programming and developing operating systems like UNIX.

4. The rise of Object-Oriented Programming (1980s)

In the 1980s, object-oriented programming (OOP) gained prominence with the introduction of languages like Smalltalk and C++. OOP introduced the concept of “objects”—data structures that combine both data and methods. This shift in programming approach improved code modularity, reusability, and maintenance, setting the stage for the development of more complex and scalable software systems.

5. The birth of the World Wide Web and HTML (1991)

Tim Berners-Lee’s invention of the World Wide Web in 1991 marked the beginning of a new era in coding. HTML (HyperText Markup Language) became the standard for structuring web pages, allowing developers to build and organise content on the internet. This innovation laid the foundation for the expansive digital world we live in today.

6. The rise of the Open-Source Movement (Late 1990s)

The late 1990s witnessed the surge of the open-source movement, highlighted by the release of software like the Linux operating system and the Apache HTTP Server. Open-source coding fostered global collaboration, knowledge sharing, and rapid innovation. This movement significantly shaped the tech community and accelerated software development.

7. The evolution of modern programming languages (2000s-present)

The 21st century has seen the emergence of modern programming languages such as Python, JavaScript, and Swift. Designed for simplicity, readability, and ease of use, these languages have broadened access to coding and driven advancements in web applications, machine learning, and beyond.