Data centers have become indispensable
Data centers now play a crucial role in our society. They ensure that servers remain operational at all times, making digital services accessible every hour of every day. Cooling these data centers is currently the biggest challenge, as they must operate 24/7. Without cooling, they would overheat in no time. Many data centers opt to use water for cooling, as energy consumption would otherwise be too high.
Is water consumption in data centers really that high?
Data centers therefore consume a considerable amount of water for cooling. Whether this is too much is, of course, somewhat relative, but given the current risks of drinking water shortages, it is certainly a valid concern. The Dutch government has since established a protocol known as the “Displacement Protocol.” This protocol stipulates that when a drinking water shortage threatens, access to clean water for non-essential purposes will be restricted. Data centers fall under this category, so there’s a good chance they’ll lose access to the water supply in the height of summer and have to switch back to cooling with electricity. At that point, the data centers will no longer be contributing to a potential water shortage, but it’s actually already a bit too late.
Initiatives to reduce water consumption
Fortunately, many organizations are already working on initiatives and alternatives to reduce data center water consumption. Many data centers are actively pursuing what is known as a “water transition.” They are seeking solutions to reduce their reliance on drinking water and minimize water consumption as much as possible. Pathema, for example, is already working on a sustainable initiative that converts linear cooling systems into circular systems. In this process, water is treated without chemicals and can be reused repeatedly within a data center. With this approach, the water footprint can be reduced by 40% and water consumption by as much as 95%!
Artificial Intelligence and Power Consumption
Behind all existing AI models are data centers that consume enormous amounts of electricity. After all, artificial intelligence requires a great deal of computing power, and generating that power demands a lot of energy. Data centers use about 10 to 50 times as much energy per floor as an average commercial building . A great deal of research has now been conducted on the energy consumption and climate impact of artificial intelligence. For example, a study by the University of Massachusetts shows that training just one AI model results in more than 283,000 kilograms of CO2. Unfortunately, it is difficult to accurately calculate the environmental impact of artificial intelligence, as many tech companies are not transparent about their energy consumption and CO2 emissions.
Artificial intelligence can also have a positive impact on the climate!
So far, we’ve only discussed the negative impact of AI on the climate, but there are also many ways in which AI models can actually contribute to initiatives that have a positive impact on the environment. The Green AI movement has recently emerged, and its goal is to develop sustainable and environmentally friendly algorithms. After all, artificial intelligence can help us better understand climate change and propose solutions to address it. Additionally, we can use AI to better predict natural disasters, allowing people to evacuate in time. Currently, artificial intelligence is already being used for a number of green purposes:
- Combating illegal deforestation: The WWF developed an AI model called Forest Foresight. They use this model to stop illegal deforestation before it happens, using satellite imagery and other tools.
- Monitoring biodiversity: Scientists have combined AI technology with drones and satellite imagery to monitor biodiversity. This allows them to detect changes more quickly and take timely action when necessary. Diseases among wild animals can also be detected more quickly and easily in this way.
- Water purification and reuse: AI can be used to monitor water quality more effectively and treat the water in a timely manner. This allows for quicker detection of chemicals or other contaminants in the water, enabling immediate additional purification.
- Reducing Waste: Food and water waste have a significant impact on the climate. A lot is already being done to combat food waste, but with the help of AI, we can take this a step further. Consider, for example, using dynamic pricing for food based on the expiration date. In addition, AI can make predictions, allowing supermarkets to better align their purchasing with consumer behavior.
These are just a few examples of all the positive ways we can use artificial intelligence in the field of sustainability!
Conclusion
At present, the negative impact of artificial intelligence is still quite evident, but this is beginning to change. Increasing attention is being paid to energy efficiency and sustainability in the construction of data centers and the development of AI models. In addition, there are also many positive ways in which artificial intelligence benefits the environment and the climate. There is a growing focus on developing eco-friendly algorithms that can help achieve sustainability goals. Currently, there are already AI models that are doing good things for the environment, such as helping to reduce waste and monitor biodiversity.
The use of AI in the cultural sector
Artificial intelligence opens up a world of possibilities, including within the cultural sector. The heritage sector is already making extensive use of AI, for example to make handwritten letters searchable, for facial recognition in audiovisual material to make it easier to find specific footage, and to establish new connections between European archives. But AI can, of course, also be used for many purposes in the cultural sector:
- Adding value for audiences or organizations: AI can help make cultural offerings more accessible to the public. This can be achieved, for example, through subtitles or automatic translations. Organizations can use AI to accurately estimate visitor numbers and adjust their staffing levels accordingly, which can lead to significant cost savings.
- Automating and streamlining work processes: With artificial intelligence, an organization can automate many work processes, leading to cost savings and greater efficiency. Examples include automatically translating flyers, editing videos and photos, and answering customer questions via a chatbot. Many cultural institutions are understaffed and need to watch their costs, so this would be a great solution!
- Introducing new products: Artificial intelligence is a valuable tool for creating new products. Creators can use it, for example, as inspiration when composing new music, digitally restoring a painting, or identifying new connections within their own collection to generate fresh content.
- Enhancing the audience experience: The cultural sector can use AI to better serve its audiences, leading to a more engaging experience. Examples include personalized digital interactive tours and guided tours using apps, as well as personalized offers on cultural institutions’ platforms.
What negative impact does AI have on cultural development?
We’ve now highlighted many of the benefits that artificial intelligence brings to the cultural sector, but there are, of course, a number of challenges as well. For instance, the quality of AI output is sometimes still questionable, especially since we often don’t know exactly where the information comes from and whether it’s accurate. In addition, creators need to be mindful of copyright, even if you’re using an AI sample solely as inspiration. After all, AI can extract information from a work that is protected by copyright. And the biggest challenge we currently face with the use of artificial intelligence is that it often operates based on biases.
AI and Bias
Ultimately, its use can therefore reinforce certain biases—an effect we obviously do not want from AI, as it often hinders cultural development. For example, many generative AI tools have an American and European bias. This means that the content generated by the AI is often not representative of people from around the world. The way AI is trained determines the results it produces. If only information containing biases about a certain race or gender is used, there is a high chance that the AI will produce discriminatory results. This is one of the reasons companies are still hesitant to use AI in their recruitment process. Fortunately, steps are already being taken to address this challenge, such as training AI with more diverse datasets. So in the future, we can make artificial intelligence bias-free too!
Competition among fiber-optic providers
There is clearly a competitive battle underway among various fiber-optic providers. In some areas, the road is dug up on a weekly basis. Some providers don’t even care if another provider’s fiber-optic cables are already in place—they simply lay theirs right next to them. We can imagine you’re now wondering: but is that even allowed? Yes, according to European legislation, anyone who wants to can install fiber optic cables, even if cables from another provider are already in place. It’s not just the well-known, larger companies that are competing with each other, such as KPN and Ziggo. New companies have also entered the market that focus exclusively on fiber optics, such as Glaspoort. This is increasing competition in the fiber optic installation sector.
Minimize disruption as much as possible
The new company Glaspoort focuses solely on laying fiber-optic cables and aims to provide fiber-optic coverage throughout the Netherlands. They have currently reached 35% coverage and hope to achieve their goal by 2028, according to a company spokesperson. The company partners with 22 different fiber-optic service providers. Since they do not offer subscriptions themselves, Glaspoort is less affected by competition in the fiber-optic market. This is entirely positive for them, as it allows them to install more cables. The spokesperson also notes that they are doing their best to minimize disruption by keeping sidewalks open for as short a time as possible while burying the fiber-optic cables. Nevertheless, many people say they are bothered by the fact that sidewalks are constantly dug up for fiber-optic installation.
What exactly is the difference between providers?
Is there actually a big difference between the fiber-optic connections offered by different providers? We often see consumers asking this question, which makes perfect sense. There is little difference in the cables laid underground. What does differ in some cases is the technology a provider uses for its fiber-optic network. In any case, it’s a good thing that there’s going to be more competition in the fiber-optic market among the major players, since prices are unnecessarily high right now. KPN and Ziggo kept raising their prices due to the lack of competition in the fiber-optic market, but hopefully that will soon be a thing of the past. The major providers are losing more and more subscribers to newcomers in the fiber-optic market. This is often because competitors offer a better price for the same product.
Which fiber-optic provider offers the best value?
Thanks to competition in the fiber-optic market, average subscription prices are falling. However, prices are naturally dropping more for some providers than for others. In addition, prices often vary by neighborhood or region. If you’re looking to sign up for a new fiber-optic subscription, we definitely recommend carefully comparing various providers. Also, consider what your household really needs and what’s unnecessary. With fiber-optic internet, you can enjoy incredibly fast speeds, but if you don’t need it, you’re essentially paying too much. And that’s obviously a waste!
More data traffic, fewer call minutes
By 2023, the number of households using fiber-optic internet had increased by about 25%. In addition, mobile data usage rose by more than 25% last year. In contrast, we have been making far fewer calls, both on our cell phones and via landlines. Over the past 10 years, the number of minutes we spend on landline calls has dropped by 75%. During the COVID-19 pandemic, the number of call minutes saw a brief resurgence. We saw each other less and so ended up Many people today don’t even have a landline at home anymore. That’s not really a surprise, of course, because it often seems much easier and faster to send a quick text or email instead of making a call. Among younger generations, we’re even seeing this trend become increasingly common.
Mobile data traffic has quadrupled
There are now a large number of households in our country that use fiber-optic internet. In 2023, 7.13 million households were connected to the fiber-optic network, and the number of households that had actually signed up for a fiber-optic subscription had also risen by 300,000 to 2.64 million. More than a third of Dutch households with a connection have therefore actually signed up for a subscription. The number of copper connections, on the other hand, is declining, as in some areas this service is even being discontinued where fiber-optic internet is available. Eventually, the entire Netherlands will likely switch to fiber-optic internet, and all copper connections will be discontinued.
Mobile data usage in the Netherlands
Mobile data traffic in the Netherlands has quadrupled compared to five years ago. In the third quarter of 2023, usage rose to 558 million gigabytes. That represents an 8.6% increase compared to the second quarter of that year. Since measurements began, the third quarter of 2023 has thus been the quarter with the highest mobile data consumption. The increase in data consumption in the Netherlands can be partly explained by the growing number of devices that use a data connection themselves. Examples include cars, smart meters, and alarm systems.
Conclusion
It is clear that we in the Netherlands are doing more and more online and that we are also using more and more data while on the go. This is clearly reflected in the figures, as total data traffic rose sharply in 2023. In contrast, we’ve actually been making far fewer calls, especially on landlines. More than 7 million households in the Netherlands now have access to the fiber-optic network, and about a third of them also have a fiber-optic subscription. And we’re expected to eventually reach a point where the entire country uses fiber-optic internet, as copper connections are already being phased out in some areas!
Source: ACM Telecommonitor
Here's how fiber-optic installation works
In some cases, only a small section needs to be dug up, and in others, there is already a pipe network in place through which fiber optic cables can easily be run, or there may even be a fiber optic cable right at the doorstep. Is there already a cable right outside the door? Then it just needs to be pulled through to the utility box of a business or home that wants a fiber-optic connection. If the location isn’t near an existing connection, a new connection must be dug between the building and the nearest manhole.
Before digging begins, a reel cart is prepared with an empty 40mm HDPE pipe. The team then thoroughly analyzes the map again to determine which route to take and what obstacles they might encounter during digging. This includes all pipes, existing fiber-optic cables, power cables, and utility lines, along with their corresponding depths. The plan of action is also indicated on the map.
Let the digging begin
When fiber-optic trenching begins, the unrolled HDPE pipe is already in place, ready to be buried. Trenching starts at the manhole, a short distance from the business or residence that will be connected to the fiber-optic network. The HDPE pipe is connected to the existing manhole. The team then digs the trench along the entire route the cables will follow and unrolls the empty HDPE pipe along the route. The fiber-optic cables are placed inside the pipe and laid in the trench. Before the team backfills the trench, they place a warning tape approximately 30 centimeters below the surface, with the text “Caution: Fiber-Optic Cable!” Should any future excavation work take place in the area, this serves as an additional warning to prevent damage to the fiber-optic cables.
What does the regulation of AI entail?
The AI Act aims to ensure that “certain AI applications that threaten citizens’ rights are banned.” The agreement among European Member States states that AI systems will be classified into different risk profiles. Systems falling into the highest risk category will be banned. However, even lower-risk systems must meet strict requirements to be approved by the Parliament. Consider, for example, algorithms used to screen resumes. These may be used, but a company must ensure that the system will not discriminate on the basis of race, age, gender, and so on.
What does AI regulation mean in practice?
Among other things, this means that companies are prohibited from developing biometric systems based on “sensitive characteristics.” They are also prohibited from scraping faces from other platforms for the purpose of creating a facial recognition database. AI that can manipulate human behavior or exploit people’s vulnerabilities is also prohibited. It is also prohibited to create systems that recognize emotions in schools or workplaces, assign social scores, or perform predictive policing. The police themselves will also be subject to clear guidelines regarding the use of artificial intelligence. They may not use biometric identification systems, except in special cases, but for such cases, they must submit a detailed explanation. Examples include cases such as a missing person or a terrorist threat. Finally, the AI Act stipulates that images and videos created using AI must also be clearly labeled as “AI content” so that users know they are not real. This is, of course, to combat deepfakes and similar content.
When will the new AI law take effect?
The new AI regulations will be implemented in phases, not all at once. This means it will take some time. The Parliament will not publish the final legislation until May, and it will take another six months after that for the ban on unacceptable AI systems to take effect. The rules for generative AI systems, such as ChatGPT and Midjourney, will not take effect until 2025. Finally, the last set of rules will take effect in 2026. Systems with a high-risk profile will then be required to undergo a human rights assessment to ensure that the system does not discriminate or apply biases. Companies that violate the AI law could face extremely high fines, which can reach up to 35 million euros.
Electrical Engineering in a Data Center
The role of a data center engineer involves a variety of tasks across different areas. The electrical engineering aspect of the role primarily involves inspecting and maintaining the infrastructure that supports the equipment within a data center. This includes cooling and power systems, as well as fire prevention, surveillance, and advanced access control systems. To keep a data center running, it is important that all this equipment is properly maintained. Tasks you perform as a data center engineer include installing cable trays, setting up racks, and maintaining electrical systems. Finally, you conduct periodic testing to ensure that the backup systems function as intended in the event of an outage or malfunction.
The IT side of the job as a data center engineer
In addition to the electrical engineering aspect, the role of a data center engineer also involves an IT component. In this role, you’ll be working with a data center’s server infrastructure, network systems, and storage. The data center engineer is responsible for installing, configuring, and maintaining the hardware within the data center. You’ll spend a significant amount of time working on the network infrastructure of a data center, such as fiber-optic cabling. So, in addition to hardware, you’ll also be working extensively with software. This includes tasks such as implementing cybersecurity solutions or setting up robust firewalls. Your responsibilities often overlap somewhat with those of a Linux engineer!
As a data center engineer, you don't just work during the day
No matter which path you choose, as a data center engineer, you won’t just be working during the day. A data center operates 24/7, so you may be called upon 24/7 as well. After all, a malfunction or outage can occur at night or on the weekend, so in many cases you’ll need to be available. If you have a strong 9-to-5 mindset, then this isn’t really the job for you. You will most likely work in shifts or be on standby on weekends and at night. If a report of a malfunction comes in, it is your responsibility to analyze the report and, if possible, provide a solution. So it’s important that you can stay calm when the pressure is on. The upside of the irregular hours, however, is that you’ll receive extra pay for working or being on call on weekends and at night.
What else do you do as a data center engineer?
We’ve now covered all the main responsibilities you’ll be handling, but of course there’s more to this role than that. You’ll be in frequent contact with suppliers and customers who are experiencing issues. So it’s also important that you’re customer-focused and have strong communication skills. Finally, you’ll be working closely with colleagues and external partners, so it helps if you enjoy working in a team 😉
New challenges in the field of intellectual property posed by the advent of AI
There are many areas where new challenges have arisen due to the advent of artificial intelligence:
Content creation
We are increasingly using AI to generate creative content, such as images, text, or videos. The question that is now increasingly being raised is who holds the copyright to content created by AI. Is it the creator of the AI program, the person who gives the AI instructions, or the AI itself?
Trademark Rights
In principle, AI can be used to create counterfeit products of certain high-end brands. Brands must therefore be very vigilant to ensure that no imitation products of their brand are on the market. After all, this could damage their brand’s image, for example if the quality is poor and people assume the products are genuine.
Copyright
AI is evolving at an ever-increasing pace, meaning it will likely soon be capable of copying copyrighted works. This means that AI could potentially infringe on the copyrights of artists and authors. It also makes it more difficult to determine who owns a particular work. This could lead to intellectual property issues in many industries, particularly in creative professions where AI is used.
Patent Law
If you invent something, you can file a patent for it. In principle, this allows you to claim the rights to something you’ve come up with and protect your invention from people who want to “steal” the idea. A large number of AI-related patents have already been filed. However, this isn’t as simple as it might seem. Legal disputes in the field of patent law related to AI arise quickly. This is especially true when it comes to determining who actually made the invention and whether an invention is truly new and innovative enough to warrant filing a new patent.
Voice cloning
You’ve probably seen it before: a video in which a song is sung by a particular actor or even a fictional character. This is created by cloning the voice using AI. It’s great fun when used for entertainment, but it can also cause a lot of harm. For example, voice cloning is frequently used for fraud. Additionally, voice cloning can constitute a copyright infringement, depending on how it is used.
Data protection
AI systems require data to gather information and learn. It has already been shown that this can result in a violation of users’ privacy. When you provide personal information during a conversation with an AI bot, the AI uses that information to learn. Rules regarding this have now been incorporated into the GDPR.
The solution: New legislation
The only solution to these new challenges is to implement new legislation governing the use of AI. It is important that we establish ethical guidelines to ensure that AI is used appropriately in the field of intellectual property. The rights of both consumers and creators must be protected in this regard. It is clear that we are still very much in search of a proper balance between innovating with AI and protecting privacy and rights. AI can be used for many good purposes, but unfortunately also for many bad ones. Consider, for example, identity fraud and defamation. Our legislation must include clear rules and guidelines to discourage the use of AI for unethical purposes.
Why is fiber-optic internet more expensive in certain regions?
Fiber-optic internet can be significantly more expensive or, conversely, cheaper in one region than in another. This is because the price of a subscription depends on the fiber-optic cable that has been installed to your home. Or, more precisely, it depends on the company that installed the cable. If the cable is from Open Dutch Fiber or DELTA Fiber, the fiber optic subscriptions you can sign up for are often cheaper than if the fiber optic cables were installed by a provider like KPN. That difference can even amount to as much as 10 euros more or less per month.
You can even see differences from one neighborhood to another
Price differences aren’t just seen by region, but sometimes even by neighborhood. After all, fiber-optic service providers don’t have agreements about who offers service in which region. It’s possible that one neighborhood has cables from KPN, while the neighborhood next door has cables from Open Dutch Fiber. KPN states that the reason for this price difference lies in the installation costs. KPN lays fiber-optic cables throughout the country, not just in urban areas. In urban areas, installing fiber-optic networks goes very smoothly and quickly because everything is closer together. In rural areas, installation takes much longer, which means the provider incurs higher costs. In rural areas, homes are farther apart, so more digging is required during installation. Fiber optic service is therefore often more expensive if you live in a more remote area.
Price differences by region are nothing new
Price differences for fiber-optic internet are particularly noticeable now because they can vary by neighborhood, but regional differences in internet plans have existed for years. Twenty years ago, there were already price differences in local cable TV networks when viewed by region. Whether fiber optics is more expensive or cheaper depends on various factors, including installation costs. But the technology behind the network and the fiber optic service a provider offers also influence the price. Smaller providers install their fiber optic networks on a “point-to-point” basis. This means that every home is connected to a network node via its own fiber-optic cable. In other words, every home has its own connection to the network. While this setup is more expensive to install, the network offers greater flexibility in use.
Conclusion
There are indeed price differences between fiber-optic plans depending on the region and sometimes even the neighborhood. Whether fiber-optic service is more expensive or cheaper in your neighborhood depends on the provider that installed the fiber-optic cables. Some providers have higher installation costs than others, and the price is also determined by the fiber-optic technologies and services the provider offers. Price differences are therefore unavoidable at this time.