How European Smart Cities are Tackling Climate Change

How European Smart Cities are Tackling Climate Change



The above-featured image is for illustration and is credit to The Times 
The Green Revolution: How European Smart Cities are Tackling Climate Change

The Green Revolution: How European Smart Cities are Tackling Climate Change

The Green Revolution is in full swing across Europe as smart cities rise to the challenge of tackling climate change. These urban areas, equipped with advanced technology and innovative solutions, are leading the charge in reducing carbon emissions and promoting sustainable living.

In the heart of Europe, cities are harnessing the power of technology to create a more sustainable future. They are integrating digital technology into urban infrastructure to improve the quality of life for their residents while simultaneously reducing their environmental impact. This is achieved through a variety of methods, including the use of renewable energy sources, efficient waste management systems, and advanced transportation solutions.

One of the most notable examples of this green revolution is Copenhagen, Denmark. The city has set an ambitious goal to become carbon neutral by 2025. To achieve this, Copenhagen has implemented a wide range of initiatives, such as the installation of wind turbines, the promotion of cycling as a primary mode of transportation, and the creation of green roofs to absorb rainwater and reduce heat.

Similarly, Stockholm, Sweden, is making strides in its quest to become fossil fuel-free by 2040. The city has invested heavily in renewable energy, particularly in the form of biofuels generated from waste. Stockholm also boasts an extensive public transportation system that runs largely on renewable energy, further reducing the city’s carbon footprint.

In Spain, the city of Barcelona is leveraging the power of technology to create a more sustainable urban environment. The city has implemented a smart grid system that allows for more efficient energy use and distribution. Additionally, Barcelona has introduced a comprehensive waste management system that includes the use of sensors to monitor waste levels and optimize collection routes.

Meanwhile, in the Netherlands, the city of Amsterdam is pioneering the use of electric vehicles. The city has installed numerous electric vehicle charging stations and offers incentives for residents to switch to electric cars. Amsterdam also encourages the use of bicycles and public transportation, reducing the reliance on fossil fuel-powered vehicles.

These European smart cities are not only reducing their own carbon emissions but also setting an example for other cities worldwide. They demonstrate that it is possible to integrate advanced technology into urban infrastructure in a way that improves the quality of life for residents while also reducing environmental impact.

However, the green revolution is not without its challenges. Implementing these changes requires significant investment and planning. Cities must also work to ensure that these advancements are accessible to all residents, regardless of income level. Despite these hurdles, the progress made by these European smart cities is promising.

The green revolution in European smart cities is a testament to the power of innovation and technology in the fight against climate change. By harnessing renewable energy, promoting sustainable transportation, and implementing efficient waste management systems, these cities are making significant strides towards a more sustainable future. As the world continues to grapple with the realities of climate change, the lessons learned from these smart cities will be invaluable in shaping our global response.

In conclusion, the green revolution is transforming cities across Europe, turning them into bastions of sustainability and innovation. These smart cities are leading the way in the fight against climate change, proving that with the right technology and forward-thinking policies, a sustainable future is within our grasp.





Compression and complexity: Making sense of Artificial Intelligence


Compression and complexity: Making sense of Artificial Intelligence

30 June 2023

Sergio Scandizzo




Sergio Scandizzo is Head of Internal Modelling at the European Investment Bank.


Artificial Intelligence (AI) is expected to have a major impact on Europe in the coming decades. Sergio Scandizzo explains how the concepts of compression, complexity and depth can help us understand the potential implications of AI for our daily lives.

ChatGPT and other instances of ‘generative AI’ have recently taken the internet by storm and, in parallel, generated a mountain of critical comments ranging from the awed and terrified to the unimpressed and disparaging. On one side is the traditional concern that AI can help people cheat, replace human judgement in key decisions for our lives and ultimately damage livelihoods by raising unemployment.

On the other, somehow illogically, although perhaps as an understandable reaction to those fears, critics have tried to find fault with AI’s performance: it cannot solve certain mathematical puzzles (nor can the majority of humans); it writes essays that are predictable and solely based on searching the available literature (as most essays written by humans sadly are); on occasion, it can produce absurd results and reach biased and discriminatory conclusions (otherwise said, it looks as human as it gets).

So, while we tremble at the thought of a dystopic future of technological unemployment, AI-controlled governments, and stultified students, at the same time, we berate current AI applications for not yet being that kind of God-like, infallible intelligence capable of solving any possible problem without fail. The reality is that most ‘failures’ of AI – not being original, basing decisions on existing information, numbly following rules or simply failing several times at complex tasks – are typical human features.

Some critics note that ChatGPT uses the most cited texts, assuming that those are the most scientifically reliable, to come up with answers. True, but what do most people do when they write an essay? First, they read the most cited texts. Similarly, others devise tricky mathematical questions to make the programme produce wrong answers (which are the kind of answers most humans would give). I wonder, therefore, about how many university essays, honestly written by mediocre students in the future, will look like they were written by ChatGPT or some other AI engine and attract unfair accusations of plagiarism.

The objective of Deep Blue or AlphaGO is not to be intelligent, but to play Chess or Go like an intelligent being (us). That they clearly can do so is disquieting perhaps because it suggests that it doesn’t necessarily take human intelligence to play these games, even at the highest level.

The same holds true for so-called creative tasks. If a machine can write a perfectly acceptable, even if not especially original, essay, it gives us pause for thought primarily because it forces us to rethink both the value of certain products of our intelligence and the meaning we attach to them. This is presumably what makes some commentators desperate to find fault in AI’s performance, as if they were keen to reassert the primacy of human intelligence against an existential threat.

Compression as intelligence

Let us try to look at the problem from another perspective. A ‘lossy’ compression algorithm is an algorithm that saves memory space by identifying statistical regularities across a set of data and storing a single copy of patterns that recur multiple times, without being exactly the same. The results of such technique are worse than what you get using a ‘lossless’ compression algorithm, where the original information can be completely reconstructed, but good enough for several practical applications.

It works especially well with images and music, much less well, unsurprisingly, with text and numbers. For example, if a lossy algorithm will store just one copy for several similar-looking areas of a picture, the reconstructed image may become slightly blurred but would still be recognisable overall. On the other hand, if the algorithm stores only the average of several similar numbers in a spreadsheet, the results will likely be useless.

Last February, science fiction author Ted Chiang wrote a very thoughtful piece in which he argued that ChatGPT works very much like a lossy algorithm applied to the internet, whereby it samples a large amount of information and repackages it in the form of text that is not exactly the same as any of the texts available online, but close enough to look both correct and original.

Aside from the fact that he may have stumbled across a definition applicable to a lot of what passes for creativity these days, what is especially intriguing is the use of compression as a metaphor for intelligence and specifically, his observation that the best way to devise a way to efficiently compress a set of data is to understand them.

Indeed, if we need to compress, for instance, the Fibonacci sequence, which is an infinite series in which each number is the sum of the previous two, we would do well by storing only three equations – F0 = 0 (applies only to the first integer), F1 = 1 (applies only to the second integer), and Fn = Fn-1 + Fn-2 (applies to all other integers) – rather than a very long sequence of integers hoping that the next user will guess the rule.

Complexity and depth

In a different context, Nobel laureate Giorgio Parisi argues that the problem of finding the simplest description of a complicated set of data corresponds to finding the scientific laws of the world and is “often taken as a sign of intelligence”. To clarify this idea, Parisi draws on the concept of the algorithmic complexity of a string of symbols.

The latter is defined as the length of the shortest computer programme producing that string as an output. In the Fibonacci sequence example, such a programme will incorporate, in the simplest possible fashion, the three equations above, thereby obtaining a very short description of an (infinite) sequence. On the other hand, if we examine the string “Dkd78wrteilrkvj0-a984ne;tgsro9r2]3”., nm od490jwmeljm io;v9sdo0e,.scvj0povm]]-” the shortest programme most likely will have to look like:

Print (once):

‘Dkd78wrteilrkvj0-a984ne;tgsro9r2]3”., nm od490jwmeljm io;v9sdo0e,.scvj0povm]]-‘

This is longer than the string to be printed. Equally important, however, is the concept of the logical depth of an algorithm, which is the actual amount of CPU time needed to execute it. In the Fibonacci case, while the algorithm is short, the actual amount of CPU required to execute it is potentially infinite as the sequence goes on forever. In the random string above, the algorithm is indeed not very efficient with respect to the length of the string, but its execution is very quick.

We say therefore that the former algorithm has low complexity and high logical depth, while the latter exhibits the opposite features. A good scientific theory has low complexity (it gives the simplest explanation of data) but potentially high logical depth (it explains a lot and may require a very long time to compute all its implications).

As an example, E=mc2 has very low complexity, but an enormous level of logical depth as it implies a very profound and far-reaching set of results. It follows, alas, that in many practical cases we settle for more approximated theories with higher complexity and lower logical depth either because of efficiency (approximated theory may be good enough for certain tasks) or because we simply cannot afford the CPU time required (Parisi gives the example of when we meet a lion on our path and we must make a decision in real time or else become its dinner).

This trade-off between complexity and depth is fundamental in understanding how intelligence, human or otherwise, works, yet most discussions of AI seem to ignore it. ChatGpt may well be, as Chiang says, an imperfectly compressed version of the available data, but so is most of our learning. Intelligence, amongst other things, is the ability to perform those somewhat imperfect compressions that balance cognitive objectives with our natural constraints.

NB: This article gives the views of the author, not the position of EUROPP – European Politics and Policy, the London School of Economics or the European Investment Bank. Featured image credit: Emiliano Vittoriosi on Unsplash

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Sustainable urbanism: smart urban development


Sustainable urbanism: smart urban development


The image above, credit to Telefonica.
11 June 2023

Sustainable urban development seeks to have a positive impact on three aspects of cities: the environmental, economic and social areas. Oslo has been named the world’s most sustainable city in 2022


Sustainable urbanism refers to designing cities bearing in mind the ecological principles of sustainable urban development.

If we want to discuss sustainable urban planning, we have to travel back a few years in time, to the moment at which the foundations of the cities of the future were laid. The Leipzig Charter on Sustainable European Citrdies was signed in 2007. It identified the use of integrated urban development policies and a focus on the most disadvantaged neighbourhoods as key elements. Since then, sustainable urbanism has taken giant steps towards becoming the present and future of cities.

According to the data that can be gathered from the Report on the status of the main actions and initiatives in the field of urban sustainability in Spain, the Basque Country, Andalusia and Navarre are the autonomous communities that are making the greatest effort to achieve true smart and sustainable urban development.

What is sustainable urbanism and smart urbanism?

Sustainable urbanism is the planning and design of cities upon the basis of ecological principles. Smart urbanism can also be defined as the development of cities by harnessing the new technologies to create spaces committed to the environment and society.

In any event, the aim is to improve three very important aspects: the environmental, economic and social areas. A combination of the three makes neighbourhoods and cities more sustainable and socially-engaged places.

Sustainable urban development objectives

As outlined above, the objectives of urban sustainability mark the areas of impact in which they seek to have the greatest influence.

Environmental: A sustainable neighbourhood seeks to generate the minimum impact on the environment and the territory. It entails being as self-sufficient as possible without relying on other environments, consuming as few resources as possible and cutting emissions and waste.

Economic: For sustainable urban development to be feasible, it has to be economically viable for those who plan the city, but also for those who’ll live in it.

Social: The quality of life of the population is essential for a city or neighbourhood to meet its social needs. This is exemplified by the “fifteen-minute city”, which, in turn, also has a positive impact on the productivity of its inhabitants and the sustainability of the environment. The concept of this ideal is the work of Carlos Moreno, an expert in smart cities, who points to the need to redesign cities to ensure that their inhabitants can reach all their services (schools, work, leisure, food, health, etc.) within fifteen minutes on foot or by bicycle.

Characteristics of a sustainable neighbourhood

To achieve these objectives, the urban sustainability indicators should include, among others, the following characteristics:

  • Use of renewable energies
  • Promotion of the circular economy
  • Implementation of urban gardens
  • Development of an efficient street network
  • Revitalisation of the neighbourhood economy
  • Sustainable mobility options
  • Inclusion of citizens in decision-making

Examples of sustainable cities

According to the 2022 Arcadis ranking, in which a hundred cities were rated to find the most sustainable cities in the world, Oslo was found to be the most sustainable city on the planet. It’s followed by Stockholm, Tokyo, Copenhagen and Berlin. Madrid and Barcelona appear in the 28th and 49th positions, due to the results they obtained in the urban sustainability indicators.

With a magnifying glass in hand, several examples of sustainable neighbourhoods can be found in Spain. La Pinada in Valencia is regarded as the first sustainable neighbourhood designed by its own inhabitants.

Meanwhile, the 2030 Sustainable Cities Challenge has been promoted by the Ministry for Ecological Transition and the Demographic Challenge in its mission to evolve towards having smart and climate-neutral cities by 2030.



Read more on Telefonica.

Creating a Culture of Sustainability in Homebuilding

Yale School of Management published this insight on Creating a Culture of Sustainability in Homebuilding that could be said to be not beyond their acclaimed mission of educating leaders for business & society.  It is as wise as useful in these days of uncertainty.  Here it is.

Creating a Culture of Sustainability in Homebuilding

Sustainably built homes cost more up front, but that investment can easily pay off over the decades with savings on heating and cooling—not to mention resiliency and improved indoor air quality. Aaron Smith ’16 is helping builders and buyers understand the benefits of building homes that can generate as much energy as they use.

Aaron Smith

CEO, Energy & Environmental Building Alliance (EEBA); CEO, GreenSmith Builders
We’re trying to transform an industry that has been doing things pretty much the same way for more than 100 years. We want to make healthier, electric, resilient, decarbonized, and net-zero homes the norm.

Q: What is the Energy and Environmental Building Alliance?

The Energy and Environmental Building Alliance (EEBA) is a community of 72,000 builders, architects, and other stakeholders across North America coming together to learn, share, and collaborate on how to build homes in a more sustainable manner.

Ultimately, we’re trying to transform an industry that has been doing things pretty much the same way for more than 100 years. We want to make healthier, electric, resilient, decarbonized, and net-zero homes the norm.

Q: Why is that important?

Forty percent of our energy use comes from buildings. That’s a significant contributor to climate change. Overall, the construction industry is very slow to adopt advances; even for great products and effective new approaches, it can take 20 years. But the technology’s there to do better, so if you want to innovate and disrupt, housing is a really interesting space right now.

The move to sustainable methods is a patchwork, but it’s ready to spread. We’re seeing the start of hockey stick growth. EEBA tracks single family homes and multi-family units built at or above a Zero Energy Ready standard across North America. Over the past two years there was a 440% increase.

Q: What do you mean by Zero Energy Ready and above?

The Zero Energy Ready Home is a standard set by the Department of Energy. To qualify a building must be energy efficient enough that a renewable energy system could offset the home’s annual energy use, so it’s extremely well insulated and extremely airtight, and may have an energy recovery ventilator. Above that is net zero, where a solar, wind, or renewable other system is producing all the energy the house needs. And the step beyond that is net positive, which is a building that actually exports energy into the grid.

There are a lot of standards and certification programs out there—LEED, National Green Building Standard, Passive House, Healthy Building, the Living Building Challenge. We tend to educate builders about all of them and allow them to choose the one that’s best for them and their clients.

Something that doesn’t have a certification program but we’re always focused on is building resiliency. How does it protect the occupants and continue to operate during a stressful period? With extreme weather events and potentially extended power outages that’s increasingly important.

The efficacy of solar panels has gone up so much that even a small amount of solar allows an efficient house to be net zero. Pairing that with new inverter technology, which lets your house feed excess solar power into the grid most of the time but switch to running the house directly off solar when the there’s a grid outage, adds resilience.

We’re seeing more and more battery deployment for backup within homes. Those can be dedicated systems or with something like the F-150 Lightning, Ford’s electric pickup, your EV can serve as backup power for the home during an outage.

Q: Is the interest in more sustainable building coming from builders, consumers, or somewhere else?

There are many drivers. In a few places, building codes are requiring new construction to be all electric. For those places, understanding how to build this way is really a license to operate. But for the most part, our members are professionals who want to be the best in their field. They have a sustainability mindset and a calling to build high-performance homes.

I learned about craftsmanship from my grandfather. He was proud of building homes that would last for 100 years. To me, sustainability is an extension of craftsmanship. It just makes sense. I hope my generation decides the building it’s putting up for the next 100 years will be sustainable. Building in the most sustainable way goes to a larger mission of being stewards of this planet for our kids and grandkids. I get excited by that.

And as millennials start to become the generation driving housing, their predisposition toward more sustainable and healthier is pushing awareness of building more sustainably into the industry.

When people consider buying a house, they look at the listing price. It’s not easy to look at the operating costs or the health costs, which can be dramatically different from one house to another.

In some cases, sustainability isn’t at the forefront. A builder in Texas who does net zero homes told me 15% of his customers do it for environmental reasons. Another 25% want the self-sufficiency of being able to go off the grid with their own water supply, solar power, and backup batteries. The remaining 60% do it for economic reasons. Between the rebates and incentives that are available and the certainty of owning their power supply so there won’t be escalating costs, they are ready to make the investment.

Q: Is it more expensive to build in a sustainable way?

It typically does cost from 1% to 11% more to build a very sustainable home. But it’s a lot like electric vehicles. The upfront cost is higher, but it you look at the total cost over time, it more than pays off the investment.

The problem is, when people consider buying a house, they look at the listing price. They don’t think to—and it’s not easy to—look at the operating costs or the health costs, which can be dramatically different from one house to another.

I didn’t ask about heating costs when I rented a wonderful 1740s farmhouse in Connecticut while I attended Yale SOM. It cost $1,000 a month to heat during the winter. Operating costs make a real difference.

In addition to running EEBA, I also co-founded GreenSmith Builders with Marc Wigder a classmate from Yale SOM. We build what we call attainable sustainable housing—energy-efficient single- and multi-family homes. I just got the monthly heating bill for a 27,000 square foot apartment building. It was $720 for the whole building in Minnesota in the winter.

Sustainable building makes housing more affordable when you look at total cost of ownership. When you think about living in a house for years, even decades, would you spend 1%, 5%, 11% more up front if you know you’ll get it back with savings on lower operating costs? Sustainable builders are starting to energy model each home so they can quantify the value long term.

And that’s only considering the energy costs. Health costs are harder to quantify, but in many homes, indoor air quality is worse than outdoor air quality. There are a lot of great systems that ensure a really healthful environment in the home.

Q: Why isn’t this approach the norm?

Market sector change is very difficult. It takes bringing stakeholders together. It takes sharing of ideas and best practices. It takes radical collaboration across organizations. We get up every day at EEBA and try to transform the industry. It’s extremely challenging and frustrating and exciting and rewarding, all at the same time.

Change is hard in any industry. For residential construction, there are a lot of incumbency issues. There’s huge demand for housing. You can sell every house that you build. Why would you change anything? That’s especially true in places where building codes haven’t been updated in years. It’s common to think that a house built to code means it’s all good. Another way to look at a house built to code is that it’s the worst house that’s not illegal. Depending on where you are, simply building to code isn’t desirable.

Switching costs are real, especially in an industry where it’s common to learn through apprenticeship on a job site—“This is how we do it.” At EEBA we try to make that mentoring culture a strength. Because builders work locally, for the most part they’re not in the same market as other EEBA members; they’re not competing against each other, so they can share and learn from each other and continually raise the level of knowledge of what it means to be a sustainable home builder. That’s a powerful part of EEBA.

What we’re trying to do is really speed the adoption of great technology, great building practices, and sustainable thinking across the industry. We’re making continuous learning easier. We provide online and in-person education. We do a yearly summit where we bring builders together.

Given the trends, if builders don’t have a plan to be building Zero Energy Ready houses, they may not be able to operate in the marketplace within a few years. I think it’s going to shift that quickly.

Q: Are there enough people going into the building trades to supply the required labor?

There are not enough people going into the trades. That’s starting to force change in interesting ways. Because builders can’t hire all the labor they’d like, offsite construction techniques are getting attention.

There are a variety of different approaches, but essentially components of the house are built in a factory. Then the floor cassettes or structured insulated panels that make up the walls are trucked to the building site and craned into place. It’s incredible how fast the modules go together.

There are a lot of investments in offsite construction. Builders are looking at it. Lumber yards and other suppliers are interested. We’re seeing a huge shift right now. It really helps with the labor issues. And it can be done to the highest sustainability standards.

Q: What led you to Yale SOM?

When I was an undergraduate there weren’t courses in sustainability, let alone a major. I learned about sustainability on the job as best I could. I went to Yale SOM to strengthen my understanding of sustainability and to learn how to have impact at scale.

When I came across EEBA, an incredible mission-driven organization that’s really changing the face of construction across North America, it just brought together everything that I had learned across my career. Now the goal is to grow the organization significantly and grow our impact significantly so we can speed up that change in the marketplace.


Read original text on Yale Insights.

AI and Smart Cities–Improving Urban Life

AI and Smart Cities are they meant for Improving Urban Life?  Let us see what AI could bring to Smart Cities.
The image above is credit to World Economic Forum.

AI and Smart Cities–Improving Urban Life

By Ale Oluwatobi Emmanuel

The world as we have it today is not static. At the snap of a finger, there’s a new innovation in town that everyone makes a fuss about. Over the years and through generations, we’ve witnessed a series of disruptions in various sectors that have impacted our lives and activities.

You’d want to see what the first generation of computers in the 19th century looked like when they were invented. Take your time. They took up the size of an entire room.

Here is the question–who would have thought the same large computers could be compressed into smaller sizes? Today, with a size of 0.3 millimeters, the Michigan micro mote boasts of being the most miniature computer, and guess what? That’s a size smaller than a grain of rice.

What’s more? As humans, there is an exciting future ahead, and we’d have it with artificial intelligence at our beck and call. Recently, you’ve noticed how AI is disrupting virtually all sectors worldwide. Talk of banking, transportation, health, military, and even sports.

As we see with other sectors, our city centers are included in these disruptions, especially now that urban areas are getting more crowded and complex. It’s time to make our cities smart with AI.

What are smart cities, and how do we make our cities smart with this unique technology? There is no better time to have the discussion. Let’s dive in.

Smart Cities: What exactly are they?

If you’ve ever wondered–everyone is talking about smart cities, what’s the fuss about them? A city is smart if it incorporates technology and other digital solutions for its processes.

A smart city would utilize information and communication technologies to improve the quality of life of the citizens and the way the government serves the people.

It utilizes innovative technologies for a more interactive and responsive city administration, improved water supply, innovative urban transport networks, waste management, and many more.

A city is termed smart not by the number of smart technologies it’s got but by how it has effectively used these technologies to positively impact its citizens and drive economic growth.

Here is the catch– Artificial intelligence has a huge potential to access the activities of urban dwellers to bring about urban planning and management.

Talk of handling data from different sources to gain insights for effective municipal operations. Guess what? It also reduces associated expenses. Let’s assess some more use cases of AI in Smart cities.

Artificial Intelligence and Smart City Infrastructures

According to research conducted by the World Bank, 56% of the world’s population, which is about 4.4 billion people, live in cities. By 2050, this figure is expected to have doubled its current size.

At that point, 7 out of 10 people you meet would live in the city. Hence, there is a need to leverage artificial intelligence to enhance infrastructure and create more sustainable and livable urban environments.

For example, in public transit, cities with vast transit infrastructure have much to gain regarding making their processes seamless.

With the power of AI, commuters using major routes can offer real-time information through hands-on devices to communicate the situation of things on the road. This can enable other commuters to decide the ways they’d be taking faster.

As a case study, Dubai initiated a smart city project to monitor bus drivers’ condition, contributing to a 65% reduction in accidents caused by fatigue and stress.

In the same vein, AI can enhance the safety of power grids to improve performance management. Smart grids, such as generation plants, can be created backed by computer technology.

Moreso, prediction models can be set up on these grids to make smart meter readings of large quantities of data. They can also forecast the demand and price at given moments.

Artificial Intelligence and Smart City Services

Today, there is a need for cities around the world to provide improved delivery and quality of services through continuous monitoring of residents. For example, an AI-driven system in Los Angeles monitors air quality in real-time.

This system helps the city reduce air pollution and improve public health. It uses data from air quality sensors to prompt city officials about air pollution hotspots. It helps guide citizens to safe travel places.

Below are some other service sectors experiencing the disruptions of artificial intelligence.

  • Customer Service:

AI is disrupting customer service. Natural language processing (NLP) algorithms in chatbots are now available. The chatbots let customer support executives work effectively by getting information about customers’ issues.

So, it means if you own a business that relies majorly on customer service, you can hire an AI developer that can build chatbots to meet your specific business needs. Due to the accuracy of chatbots, there are speculations that they’d take over customer service roles, but only time will tell.

  • Health care:

In the healthcare service sector, introducing AI can bring about predictive healthcare. By leveraging predictive analytics, AI can help doctors make accurate decisions about the health of their patients. Asides from this, AI can also help streamline the analysis of scan results via image recognition. Doctors diagnose symptoms more accurately and effectively. With the rise of IoT-enabled embedded devices, they can remotely monitor their patient’s health conditions.

  • Banking:

AI is a valuable tool in a field such as the financial sector, which is prone to fraudulent activities. Artificial intelligence helps banks automate processes that are typically carried out by humans, reducing the time and effort it takes if done manually. Interestingly, AI can also help track customers’ credit history. AI’s predictive technology shows the likelihood of an individual not paying a loan back based on the information it analyzes.

That way, financial institutions and other loan services can streamline the process of getting new customers likely to repay their loans.

  • Transportation

Autonomous vehicles are here to stay, and they’re powered by AI. Who would have thought there’d be a time when cars could navigate their ways without human control? Well, it’s happening now. Kudos to Tesla and other big technology companies. Autonomous vehicles can also be used for deliveries and for transporting goods. Self-driving trucks can deliver packages more efficiently. We already see Tesla’s AI-powered Semi automobile do well in this regard.

Artificial Intelligence–The Tool for a Smarter World

No doubt, it is a visible phenomenon that the world of technology and innovation constantly changes. It’s exciting to let you know that we’re still at the early stage of the deployment of AI. Although we’ve seen its applications in diverse sectors, its long-term benefits will start unfolding. If you’re reading this now, you’re lucky. You must begin to adapt and position well for a new world driven by artificial intelligence.

Moving forward, a lot of changes will happen. From lifestyle changes to improvements in societal processes and operations. Welcome to the world of AI.


Read original TechDay article.