When you’re faced with a task, you often wish you had the help of a friend. As they say, two heads are better than one, and collaboration can be the key to solving a problem or overcoming a challenge. With computer networks, we can say two nodes are better than one. These unique environments consist of at least two interconnected nodes that share and exchange data and resources, for which they use specific rules called “communications protocols.” Every node has its position within the network and a name and address to identify it.
The possibilities of computer networks are difficult to grasp. They make transferring files and communicating with others on the same network a breeze. The networks also boost storage capacity and provide you with more leeway to meet your goals.
One node can be powerful, but a computer network with several nodes can be like a super-computer capable of completing challenging tasks in record times.
In this introduction to computer networks, we’ll discuss the different types in detail. We’ll also tackle their applications and components and talk more about network topologies, protocols, and security.
Components of a Computer Network
Let’s start with computer network basics. A computer network is comprised of components that it can’t function without. These components can be divided into hardware and software. The easiest way to remember the difference between the two is to know that software is something “invisible,” i.e., stored inside a device. Hardware components are physical objects we can touch.
Hardware Components
- Network interface cards (NICs) – This is the magic part that connects a computer to a network or another computer. There are wired and wireless NICs. Wired NICs are inside the motherboard and connect to cables to transfer data, while wireless NICs have an antenna that connects to a network.
- Switches – A switch is a type of mediator. It’s the component that connects several devices to a network. This is what you’ll use to send a direct message to a specific device instead of the entire network.
- Routers – This is the device that uses an internet connection to connect to a local area network (LAN). It’s like a traffic officer who controls and directs data packets to networks.
- Hubs – This handy component divides a network connection into multiple computers. This is the distribution center that receives information requests from a computer and places the information to the entire network.
- Cables and connectors – Different types of cables and connectors are required to keep the network operating.
Software Components
- Network operating system (NOS) – A NOS is usually installed on the server. It creates an adequate environment for sharing and transmitting files, applications, and databases between computers.
- Network protocols – Computers interpret network protocols as guidelines for data communication.
- Network services – They serve as bridges that connect users to the apps or data on a specific network.
Types of Computer Networks
Local Area Network (LAN)
This is a small, limited-capacity network you’ll typically see in small companies, schools, labs, or homes. LANs can also be used as test networks for troubleshooting or modeling.
The main advantage of a local area network is convenience. Besides being easy to set up, a LAN is affordable and offers decent speed. The obvious drawback is its limited size.
Wide Area Network (WAN)
In many aspects, a WAN is similar to a LAN. The crucial difference is the size. As its name indicates, a WAN can cover a large space and can “accept” more users. If you have a large company and want to connect your in-office and remote employees, data centers, and suppliers, you need a WAN.
These networks cover huge areas and stretch across the globe. We can say that the internet is a type of a WAN, which gives you a good idea of how much space it covers.
The bigger size comes at a cost. Wide area networks are more complex to set up and manage and cost more money to operate.
Metropolitan Area Network (MAN)
A metropolitan area network is just like a local area network but on a much bigger scale. This network covers entire cities. A MAN is the golden middle; it’s bigger than a LAN but smaller than a WAN. Cable TV networks are the perfect representatives of metropolitan area networks.
A MAN has a decent size and good security and provides the perfect foundation for a larger network. It’s efficient, cost-effective, and relatively easy to work with.
As far as the drawbacks go, you should know that setting up the network can be complex and require the help of professional technicians. Plus, a MAN can suffer from slower speed, especially during peak hours.
Personal Area Network (PAN)
If you want to connect your technology devices and know nobody else will be using your network, a PAN is the way to go. This network is smaller than a LAN and can interconnect devices in your proximity (the average range is about 33 feet).
A PAN is simple to install and use and doesn’t have components that can take up extra space. Plus, the network is convenient, as you can move it around without losing connection. Some drawbacks are the limited range and slower data transfer.
These days, you encounter PANs on a daily basis: smartphones, gaming consoles, wireless keyboards, and TV remotes are well-known examples.
Network Topologies
Network topologies represent ways in which elements of a computer network are arranged and related to each other. Here are the five basic types:
- Bus topology – In this case, all network devices and computers connect to only one cable.
- Star topology – Here, all eyes are on the hub, as that is where all devices “meet.” In this topology, you don’t have a direct connection between the devices; the hub acts as a mediator.
- Ring topology – Device connections create a ring; the last device is connected to the first, thus forming a circle.
- Mesh topology – In this topology, all devices belonging to a network are interconnected, making data sharing a breeze.
- Hybrid topology – As you can assume, this is a mix of two or more topologies.
Network Protocols
Network protocols determine how a device connected to a network communicates and exchanges information. There are the five most common types:
- Transmission Control Protocol/Internet Protocol (TCP/IP) – A communication protocol that interconnects devices to a network and lets them send/receive data.
- Hypertext Transfer Protocol (HTTP) – This application layer protocol transfers hypertext and lets users communicate data across the World Wide Web (www).
- File Transfer Protocol (FTP) – It’s used for transferring files (documents, multimedia, texts, programs, etc.)
- Simple Mail Transfer Protocol (SMTP) – It transmits electronic mails (e-mails).
- Domain Name System (DNS) – It converts domain names to IP addresses through which computers and devices are identified on a network.
Network Security
Computer networks are often used to transfer and share sensitive data. Without adequate network security, this data could end up in the wrong hands, not to mention that numerous threats could jeopardize the network’s health.
Here are the types of threats you should be on the lookout for:
- Viruses and malware – These can make your network “sick.” When they penetrate a system, viruses and malware replicate themselves, eliminating the “good” code.
- Unauthorized access – These are guests who want to come into your house, but you don’t want to let them in.
- Denial of service attacks – These dangerous attacks have only one goal: making the network inaccessible to the users (you). If you’re running a business, these attacks will also prevent your customers from accessing the website, which can harm your company’s reputation and revenue.
What can you do to keep your network safe? These are the best security measures:
- Firewalls – A firewall acts as your network’s surveillance system. It uses specific security rules as guidelines for monitoring the traffic and spotting untrusted networks.
- Intrusion detection systems – These systems also monitor your network and report suspicious activity to the administrator or collect the information centrally.
- Encryption – This is the process of converting regular text to ciphertext. Such text is virtually unusable to everyone except authorized personnel who have the key to access the original data.
- Virtual private networks (VPNs) – These networks are like magical portals that guarantee safe and private connections thanks to encrypted tunnels. They mask your IP address, meaning nobody can tell your real location.
- Regular updates and patches – These add top-notch security features to your network and remove outdated features at the same time. By not updating your network, you make it more vulnerable to threats.
Reap the Benefits of Computer Networks
Whether you need a network for a few personal devices or want to connect with hundreds of employees and suppliers, computer networks have many uses and benefits. They take data sharing, efficiency, and accessibility to a new level.
If you want your computer network to function flawlessly, you need to take good care of it, no matter its size. This means staying in the loop about the latest industry trends. We can expect to see more AI in computer networking, as it will only make them even more beneficial.
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Source:
- Agenda Digitale, published on November 25th, 2025
In recent years, the word ” sustainability ” has become a firm fixture in the corporate lexicon. However, simply “doing no harm” is no longer enough: the climate crisis , social inequalities , and the erosion of natural resources require a change of pace. This is where the net-positive paradigm comes in , a model that isn’t content to simply reduce negative impacts, but aims to generate more social and environmental value than is consumed.
This isn’t about philanthropy, nor is it about reputational makeovers: net-positive is a strategic approach that intertwines economics, technology, and corporate culture. Within this framework, digitalization becomes an essential lever, capable of enabling regenerative models through circular platforms and exponential technologies.
Blockchain, AI, and IoT: The Technological Triad of Regeneration
Blockchain, Artificial Intelligence, and the Internet of Things represent the technological triad that makes this paradigm shift possible. Each addresses a critical point in regeneration.
Blockchain guarantees the traceability of material flows and product life cycles, allowing a regenerated dress or a bottle collected at sea to tell their story in a transparent and verifiable way.
Artificial Intelligence optimizes recovery and redistribution chains, predicting supply and demand, reducing waste and improving the efficiency of circular processes .
Finally, IoT enables real-time monitoring, from sensors installed at recycling plants to sharing mobility platforms, returning granular data for quick, informed decisions.
These integrated technologies allow us to move beyond linear vision and enable systems in which value is continuously regenerated.
New business models: from product-as-a-service to incentive tokens
Digital regeneration is n’t limited to the technological dimension; it’s redefining business models. More and more companies are adopting product-as-a-service approaches , transforming goods into services: from technical clothing rentals to pay-per-use for industrial machinery. This approach reduces resource consumption and encourages modular design, designed for reuse.
At the same time, circular marketplaces create ecosystems where materials, components, and products find new life. No longer waste, but input for other production processes. The logic of scarcity is overturned in an economy of regenerated abundance.
To complete the picture, incentive tokens — digital tools that reward virtuous behavior, from collecting plastic from the sea to reusing used clothing — activate global communities and catalyze private capital for regeneration.
Measuring Impact: Integrated Metrics for Net-Positiveness
One of the main obstacles to the widespread adoption of net-positive models is the difficulty of measuring their impact. Traditional profit-focused accounting systems are not enough. They need to be combined with integrated metrics that combine ESG and ROI, such as impact-weighted accounting or innovative indicators like lifetime carbon savings.
In this way, companies can validate the scalability of their models and attract investors who are increasingly attentive to financial returns that go hand in hand with social and environmental returns.
Case studies: RePlanet Energy, RIFO, and Ogyre
Concrete examples demonstrate how the combination of circular platforms and exponential technologies can generate real value. RePlanet Energy has defined its Massive Transformative Purpose as “Enabling Regeneration” and is now providing sustainable energy to Nigerian schools and hospitals, thanks in part to transparent blockchain-based supply chains and the active contribution of employees. RIFO, a Tuscan circular fashion brand, regenerates textile waste into new clothing, supporting local artisans and promoting workplace inclusion, with transparency in the production process as a distinctive feature and driver of loyalty. Ogyre incentivizes fishermen to collect plastic during their fishing trips; the recovered material is digitally tracked and transformed into new products, while the global community participates through tokens and environmental compensation programs.
These cases demonstrate how regeneration and profitability are not contradictory, but can actually feed off each other, strengthening the competitiveness of businesses.
From Net Zero to Net Positive: The Role of Massive Transformative Purpose
The crucial point lies in the distinction between sustainability and regeneration. The former aims for net zero, that is, reducing the impact until it is completely neutralized. The latter goes further, aiming for a net positive, capable of giving back more than it consumes.
This shift in perspective requires a strong Massive Transformative Purpose: an inspiring and shared goal that guides strategic choices, preventing technology from becoming a sterile end. Without this level of intentionality, even the most advanced tools risk turning into gadgets with no impact.
Regenerating business also means regenerating skills to train a new generation of professionals capable not only of using technologies but also of directing them towards regenerative business models. From this perspective, training becomes the first step in a transformation that is simultaneously cultural, economic, and social.
The Regenerative Future: Technology, Skills, and Shared Value
Digital regeneration is not an abstract concept, but a concrete practice already being tested by companies in Europe and around the world. It’s an opportunity for businesses to redefine their role, moving from mere economic operators to drivers of net-positive value for society and the environment.
The combination of blockchain, AI, and IoT with circular product-as-a-service models, marketplaces, and incentive tokens can enable scalable and sustainable regenerative ecosystems. The future of business isn’t just measured in terms of margins, but in the ability to leave the world better than we found it.
Source:
- Raconteur, published on November 06th, 2025
Many firms have conducted successful Artificial Intelligence (AI) pilot projects, but scaling them across departments and workflows remains a challenge. Inference costs, data silos, talent gaps and poor alignment with business strategy are just some of the issues that leave organisations trapped in pilot purgatory. This inability to scale successful experiments means AI’s potential for improving enterprise efficiency, decision-making and innovation isn’t fully realised. So what’s the solution?
Although it’s not a magic bullet, an AI operating model is really the foundation for scaling pilot projects up to enterprise-wide deployments. Essentially it’s a structured framework that defines how the organisation develops, deploys and governs AI. By bringing together infrastructure, data, people, and governance in a flexible and secure way, it ensures that AI delivers value at scale while remaining ethical and compliant.
“A successful AI proof-of-concept is like building a single race car that can go fast,” says Professor Yu Xiong, chair of business analytics at the UK-based Surrey Business School. “An efficient AI technology operations model, however, is the entire system – the processes, tools, and team structures – for continuously manufacturing, maintaining, and safely operating an entire fleet of cars.”
But while the importance of this framework is clear, how should enterprises establish and embed it?
“It begins with a clear strategy that defines objectives, desired outcomes, and measurable success criteria, such as model performance, bias detection, and regulatory compliance metrics,” says Professor Azadeh Haratiannezhadi, co-founder of generative AI company Taktify and professor of generative AI in cybersecurity at OPIT – the Open Institute of Technology.
Platforms, tools and MLOps pipelines that enable models to be deployed, monitored and scaled in a safe and efficient way are also essential in practical terms.
“Tools and infrastructure must also be selected with transparency, cost, and governance in mind,” says Efrain Ruh, continental chief technology officer for Europe at Digitate. “Crucially, organisations need to continuously monitor the evolving AI landscape and adapt their models to new capabilities and market offerings.”
An open approach
The most effective AI operating models are also founded on openness, interoperability and modularity. Open source platforms and tools provide greater control over data, deployment environments and costs, for example. These characteristics can help enterprises to avoid vendor lock-in, successfully align AI to business culture and values, and embed it safely into cross-department workflows.
“Modularity and platformisation…avoids building isolated ‘silos’ for each project,” explains professor Xiong. “Instead, it provides a shared, reusable ‘AI platform’ that integrates toolchains for data preparation, model training, deployment, monitoring, and retraining. This drastically improves efficiency and reduces the cost of redundant work.”
A strong data strategy is equally vital for ensuring high-quality performance and reducing bias. Ideally, the AI operating model should be cloud and LLM agnostic too.
“This allows organisations to coordinate and orchestrate AI agents from various sources, whether that’s internal or 3rd party,” says Babak Hodjat, global chief technology officer of AI at Cognizant. “The interoperability also means businesses can adopt an agile iterative process for AI projects that is guided by measuring efficiency, productivity, and quality gains, while guaranteeing trust and safety are built into all elements of design and implementation.”
A robust AI operating model should feature clear objectives for compliance, security and data privacy, as well as accountability structures. Richard Corbridge, chief information officer of Segro, advises organisations to: “Start small with well-scoped pilots that solve real pain points, then bake in repeatable patterns, data contracts, test harnesses, explainability checks and rollback plans, so learning can be scaled without multiplying risk. If you don’t codify how models are approved, deployed, monitored and retired, you won’t get past pilot purgatory.”
Of course, technology alone can’t drive successful AI adoption at scale: the right skills and culture are also essential for embedding AI across the enterprise.
“Multidisciplinary teams that combine technical expertise in AI, security, and governance with deep business knowledge create a foundation for sustainable adoption,” says Professor Haratiannezhadi. “Ongoing training ensures staff acquire advanced AI skills while understanding associated risks and responsibilities.”
Ultimately, an AI operating model is the playbook that enables an enterprise to use AI responsibly and effectively at scale. By drawing together governance, technological infrastructure, cultural change and open collaboration, it supports the shift from isolated experiments to the kind of sustainable AI capability that can drive competitive advantage.
In other words, it’s the foundation for turning ambition into reality, and finally escaping pilot purgatory for good.
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