It’s time to think S.M.A.R.T.

It’s time for a game-changing technology to provide all the necessary tools for evolution!

Some people fear the future of technology and have many questions when they think about artificial intelligence (AI), machine learning (ML), the Internet of Things (IOT) and more that are starting to take shape.

By applying technology, everything can become much faster, safer and more private.

The technology at this point is no longer in its infancy. Dial-up has given way to broadband, and the days of relying on cable connections are over.

Now, after many years of evolution, devices can connect to the Internet through wireless hubs.

The new web technology, S.M.A.R.T., is:

  • Specific (simple, sensible, meaningful)
  • Measurable (meaningful, motivating)
  • Achievable (agreed, achievable)
  • Relevant (reasonable, realistic and resourced, results-based)
  • Time (specifying when the objectives will be achieved)

Let’s look together at the elements that contribute to the technological future and its benefits.

Artificial Intelligence (AI)

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. These are machines that are programmed to think like humans and copy their actions.  

When most people hear the term artificial intelligence, the first thing they think of is robots.

A common theme that some researchers have is the idea that machines will become so developed that humans will not be able to keep up and no longer have control over them.

That’s because the movies and novels that have been hyped over the past 30 years with stories about human-like machines end up hurting the planet.

The goals of artificial intelligence include computer-enhanced learning, reasoning and perception.

AI is continually evolving to benefit different industries.

Machines are connected using an interdisciplinary approach based on mathematics, computer science, linguistics, psychology, etc.

Specific applications of AI include the following:

  • expert systems;
  • language processing;
  • speech recognition;
  • computer vision.

The term AI can be applied to any machine that exhibits traits associated with the human mind, such as learning and problem solving.

How does AI work?

AI applications include advanced web search engines, e.g Google.

YouTube, Amazon and Netflix use artificial intelligence and recommender systems. Siri and Alexa understand human language, so they help people save time, and some companies like Tesla, are moving in the direction of self-driving cars that can make important decisions.

Artificial intelligence is being tested and used in the healthcare industry for dosing drugs and dispensing different treatments tailored to certain patients, and one of the most revolutionary things is that it helps with surgical procedures in the operating room.

AI apps are also being used to help streamline and conduct transactions.

What are the challenges that AI brings?

Machines can get into people’s privacy. A sore point being talked about is the ethics of artificial intelligence and whether intelligent systems such as robots should be treated with the same rights as humans.

Another controversial issue many people have with artificial intelligence is how it can affect people’s jobs.

Many industries are looking to automate certain jobs through the use of intelligent machines, there is concern that many people are losing their jobs and this is already happening.

Self-driving cars can eliminate the need for taxis, while manufacturers can easily replace human work with machines and people’s skills become obsolete.

Every person who loses their job is forced to “reinvent” themselves, human evolution always comes with pluses and minuses.

Some critics in the field fear that widespread use of advanced AI may have a negative effect on society.

Machine Learning

Machine learning was developed by inventor Arthur Samuel in 1959 by a, working with IBM.

Machine learning is part of artificial intelligence, which is mainly used to analyze data using AI and to identify patterns and make decisions with less human interference.

ML allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so.

Basically, it focuses on machine learning (ML), which refers to the concept that computer programs can learn automatically and adapt to new data without human assistance.

Deep learning techniques enable this machine learning by absorbing huge amounts of unstructured data, such as text, images or videos.

By 2021, machine learning has a market size of USD 15.66 billion, which is expected to reach USD 21 billion by the end of 2022.

According to Fortune Business Insights, the machine learning market size will grow enormously to USD 209 billion.

Benefits of Machine Learning

  • helps automate everyday tasks that occur in business;
  • features data analysis using algorithms;
  • uses real-time data generated by IoT devices;
  • reduces potential security issues;
  • provides a secure ecosystem that helps organizations;
  • manage and predict risk factors.

Internet of Things (IoT)

IoT refers to internet-connected devices that collect and share data.

In recent years, IoT has become one of the most important technologies of the 21st century.

We can connect the objects we use every day to the internet through embedded devices, from kitchen robots, cars, thermostats and more. Seamless communication between people, processes and things is now possible.

The IoT (Internet of Things) has made the world more responsive and intelligent, fully integrating the digital and physical worlds.

With cost-effective chips and wireless networking, it becomes easy to connect IoT-enabled products. These IoT devices have received a huge boost after the innovation of sensors added to objects to achieve more digital intelligence.

IoT components are now readily available on mobile devices, computers, smart watches, traffic control systems, parking systems and home appliances.

Millions of IOT devices are being manufactured around the world that collect a variety of data stored in cars via the internet, allowing cars to more accurately understand that data and make it more useful in a simple way.

According to IoT Analytics, the size of the enterprise IoT market has grown to $157.9 billion, which is expected to expand to $525 billion by 2027.

 North America is the fastest growing market for IoT.

More and more tech companies are turning their attention to these tools that are revolutionizing their businesses.

Benefits of Internet of Things (IoT)

  • IoT devices help you access more accurate data, which helps you work more efficiently and thus save time;
  • IoT sensors provide details about resources that aren’t useful to the business;
  • IoT reduces inefficiency and helps to get different alternative procedures that reduce waste;
  • IoT sensors used in vehicles and shipping containers provide clear details such as product quality and real-time data;
  • save unnecessary maintenance costs.

Cognitive & Semantic


It is important to understand the word Cognitive! It refers to the learning capacity and mechanisms by which we can arrive at knowledge.

Cognitive Web is a web architecture that has been developed to support decision making that is human-centric.

The goal of the Cognitive Web is to expand human decision horizons by compensating for intrinsic aspects of selective attention.


It is an extension of the Web standardized by the W3C (World Wide Web Consortium).

These standards encourage the use of standardized data formats and exchange protocols on the Web.

According to the W3C, “The Semantic Web provides a model that allows data to be shared and reused across multiple applications, companies and user groups.

Tim Berners-Lee defines the Semantic Web as “a network of data that can be processed directly and indirectly by machines to help their users create new knowledge” 

The Web presented by Sourceless falls more into the category of the Semantic Web, sometimes known as Web 3.0.

The ultimate goal is to make data on the Internet machine-readable, as it is called Machine-readable data.

Sourceless will offer new directions, new insights and new uses in the new Web that will make the online environment easier.

Together with our partners from Formwelt, we have found a way to create the first Cognitive Web and complete this area of the Internet.

FORMWELT Institute has over 30 years of research experience! It is a linguistic system, which has a coding language, by which it gives a concrete meaning.

An example we can have, is the following:

Let’s say John and Alex are having a dialogue about education. Each of them grew up in a different environment. They have had varied upbringings and experiences through which they perceive things differently.

Even though they are discussing the same topic, they can’t understand each other.

You may wonder why?

Semantics and information perception is understood in a different way.

It may happen to you too that you are talking to a person and you notice that although you are talking about the same subject, you understand each other through flirting. You have a different perspective and it is normal.

Imagine not having this problem?

This is where Formwelt comes in and simplifies things, through the system already implemented, it provides a way in which the information John passes on to Alex is exactly what the interlocutor (discussion participant) understands.

In short, it helps us to be on the same page, at the same level of understanding, at the same sentence and at the same word.

What do you think future technologies will look like?