Things About AI You Need to Know

Table of Contents

The Artificial Intelligence (AI) is more than a “buzz word

Take a look:
AI is not knocking on your door. It has already entered your daily life. And it’s not science fiction anymore. Chance are, AI is more present in your life than you think.

  • Have you ever interacted with a cyber-assistant on you favorite shopping web site?
  • Received a notification from your bank following an unusual use of your credit card?
  • Asked Alexa to play your favorite playlist?
  • Sayed “Ok Google” to find a good restaurant near you in a city you didn’t know?

These are just a few of the way companies are using AI to make their lives easier and offer more to customers. AI works in the background to make your life easier. So, what is AI really? Machine Learning and Deep Learning? How does it impact your organization or business? What are the benefits of AI for your business?

7 Aspects about AI you need to know:

1. What the impact of AI in 2023?

Whether you realize it or not, AI is having a huge impact on the global economy and how business and organizations operate.

The proof?
77% of companies already use or explore AI to improve their activities. The global AI software market revenue is expected to reach the equivalent of 107 billion dollars by 2025. 95% of “customers” interactions will be powered by AI by 2025.

And it’s already well underway today:

Virtual shopping assistants and chatbots are helping to improve the user experience when shopping online. Natural language processing is used to make the conversation as human and personal as possible. These assistants will be engage I real time with your customers or constituents.

Ultimately, where and how is AI used?

2. Is AI already in your company or organization?

– Where is AI used ?
It has already entered your life in a bid way. Here are some of the most common applications of AI.

  • Cybersecurity
  • Voice Assistants
  • Object detection
  • Voice recognition
  • Internet searches
  • Customer relationship management
  • Inventory planning and logistics
  • Products, video, and image suggestions
  • Risk analysis and production of financial, marketing and production scenarios…
  • Facial recognition for unlocking your smartphone or PC.

– What are benefits of AI?
It has the potential to increase workplace efficiency to the highest degree. It can also complement the work that people can undertake.

How so?
It is ultra-fast.

  • It works continuously and without interruption.
  • It allows to perform previously complicated activities at a lower cost.
  • It is able to recognize situations, to discover logics where a human could have missed.

In a nutshell?
It opens new perspectives and facilitates the life and work of individuals.

3. AI: Myths, legend or reality ?

What is Artificial Intelligence?
Artificial Intelligence is a technology that allows a computer, a computer-controlled robot or software to think intelligently. AI systems works by merging larges volumes of data with intelligent and iterative processing algorithms.

Each time an artificial intelligence system performs a data processing cycle, it tests and measures its performances and uses the results to develop additional expertise. This system becomes “intelligent” to the point of being able to provide additional analysis in real time for human operators.

How does AI acquire cognitive skills?
Artificial intelligence focused on three cognitive skills: learning, reasoning and self-corrections, skills that human brain processes to some degree.

In AI context, the are :

  • Learning or acquiring information and the rules necessary to use that information.
  • Reasoning or the use of information rules to reach definitive or approximate conclusions.
  • Self-correction, or the process of continually adjusting AI algorithm to ensure they provide the most accurate results possible.

Is there one or more kinds of artificial intelligence?
AI can in theory be based on several forms:

  • Purely reactive:
    These machines have no memory or data to work with. They specialize in one area of work. For example, in a game of chess, the machine observes the moves and makes the best possible decision to win
  • Limited memory:
    These machines collect past data and keep adding it to their memory. They have enough memory or experience to make the right decisions, but their memory is minimal. For example, this type of machine can suggest a restaurant based on location data that has been collected.
  • Theory of mind:
    This type of AI exists only in concept. It could understand thoughts and emotions, as well as interact socially. Such a machine has not built yet.

  • Theory of mind:
    This type of AI exists only in concept. It could understand thoughts and emotions, as well as interact socially. Such a machine has not built yet.

    Self-aware machines remain hypothetical. They could be a distant future generation of AI. The goal would be to build intelligent machines with a form of sensitivity and self-awareness close to humans. For the moment, self-aware AI is science fiction.
  • In all cases?
    Different type of AI use complex algorithms and methods to build machines that can make certain decisions on their own. But there is no such thing as an AI equal to humans. The proof: Do you need two hours of learning and millions of photos to recognize a rabbit in a picture? So when we talk about artificial intelligence, it is interesting to consider two more specific subfields of AI: Machine Learning and Deep Learning.

4. What is Machine Leaning?

It is Machine Learning that gives AI the ability to learn.

How is it possible?
This is done using algorithms to discover patterns and generate insights from the date they are exposed to.

A machine learning can use information from many different data source – such as development and training tool, as well as other algorithms- to predict and classify information.

5. What is Deep Learning ?

Deep Learning is a sub-category of Machine Learning.
It gives AI ability to imitate neural network of the human brain, with depth.

What is it?
It is a machine learning technique that use pattern recognition and classification to work with large data sets.
It can give meaning to objects, images, data types.
Machine Learning algorithms have a limited learning capacity, no matter how much data they acquire. Deep Learning systems can improve their performance by accessing more data and continue learning.

6. Does AI work as a team?

As the 21st century replay of “all for one, one for all”: At a financial institution, top of traders and AI algorithms learn a lot from each other and by themselves.


  • AI learn by watching traders and the screens and charts they monitor. It learns which specific data points to focus on – out of the vast volume of data that the financial markets create every second.
  • The AI system learns autonomously form these observations, identifying complex relationship between data points and trades made. In effect, the AI discovers the underlying decision logic of traders on the bank’s platform.
  • The trader learns from the information the data share. Because the AI observes the history of multiple traders, not just one, it facilitates cross-trading learning.

Even better?
The learning cycle begins again when the AI observes how traders use the information it provides. The AI system observes that traders using the system have collectively improved the speed and efficiency of their decision making.

The bottom line?
Mutual learning is not just about providing corrective feedback in specific situations. It is an ongoing partnership that improves human and machine decision-making through multiple modes of interaction between AI and humans.

This is just one example, among many, where AI is present to make your life easier and open new perspectives in your activities.

Imagine what this can do for your organization or business…

7. Five examples of AI used in Industry, cities, and healthcare

Here are 5 areas where AI is already improving the protection of assets and people providing savings in industry.
Does one of these areas concern you?

AI: a real asset for your cybersecurity?

Will your company or organization be next?
71% of organizations worldwide have fallen victim to ransomware attacks. That’s an increase of +18 in 4 years! It’s impossible for a human being to identify and block all the IT threats that a company or organization faces.

Because every year, hackers find a different way to launch various types of attacks with a distinct objective. An IT network can suffer massive damage with the introduction of these new types of attacks. These threats can have a profound impact on the organization if you fail to detect, identify, and prevent them in time. AI is a real asset when it comes to cybersecurity.


  • It improves the way security experts analyze, study and understand cybercrime.
  • It improves the technologies companies use to fight cybercriminals and helps organizations keep customer data safe.
  • It can help discover and focus on risks, guide incident response and distinguish malware attacks upstream.

How does AI take care of your health?

While healthcare traditionally relies on human work and care, an increasing number of tasks can now be entrusted to AI.

An example?

Computer vision for diagnosis and surgery.
Computer vision and machine learning are becoming increasingly promising for the diagnosis of diseases such as skin cancer. AI can provide solid assistance during complex surgical operations, such as tracking protocols and steps.

How does AI serve the energy industries?

Oil, gas, and energy are increasingly complex fields.
These industries leave little room for error given the safety and environmental considerations; don’t you agree?
Artificial intelligence allows energy sector companies to increase their efficiency without increasing their costs.


By image processing to identify maintenance needs. The increasing ability of AI to process images and recognize patterns allows the use of drones and other image sources to check electrical infrastructures. For example, it allows for the automated detection of equipment failures or even fallen wires.

Smarter production with AI?

Big data and AI are giving a huge boost to Industry 4.0.
What does that mean?
Intelligent software solutions can process large volumes of data generated by a factory.

The goal?

To identify trends and patterns that can then be used to make manufacturing processes more efficient and reduce energy consumption.
This is how Industry 4.0 factories constantly adapt to new circumstances and are optimized without operator intervention.
And as the level of networking increases, AI software can learn to “read between the lines”: which can lead to the discovery of many complex connections in systems that are not yet or less obvious to the human eye.

A concrete example?
Since 2018, BMW has been using automated image recognition for quality control, inspections, and elimination of pseudo-defects (deviations from the target despite the absence of real defects). For example, in paint workshops:
AI and analytical applications provide the ability to detect defect sources at such an early stage that errors can practically no longer occur. The result? If no dust settles on the bodywork before painting, there will be no need to polish it afterwards.

Safer cities with AI?
As we all know: public safety is an important element of any modern city.
Some municipalities and public safety organizations have chosen to better protect their citizens and public property by using AI.

For what purpose?

To improve city surveillance systems.

Let’s dig a little deeper…
Video surveillance cameras are ubiquitous in many urban areas. These systems are installed in specific, limited areas. The video feed is in real-time.

The problem?
The volume of live or playback images requires superhuman concentration or disproportionate time.

The solution?
AI helps operators spot the surveillance camera where something abnormal is happening and solve investigations faster with video playback aids.
This type of AI-enhanced video surveillance can be used on existing infrastructure.

Even better?
These video surveillance AI programs now use behavioral analysis algorithms and object detection software. They can analyze images in real-time, searching for potential threats or signs that a crime is about to be committed.
Thanks to data and AI, law enforcement is increasing the number of apprehensions in the act of committing a crime (graffiti, illegal waste dumping, etc.).

Is AI the future?

Artificial intelligence plays an important role in virtually every area of human endeavor.
It is already the main driver for the development of technologies such as big data, robots, computer vision and the Internet of Things.
It is revolutionizing industries with its applications and helping to solve complex problems.
And it will continue to be an increasingly present technical innovation in the future.

Need to dig deeper into this topic?
Then, deepen your knowledge with one of the following articles:

  • What is Machine Learning? What are the benefits to administer and secure your organization’s assets and people?
    [article coming soon]

  • Deep Learning: is this a world of autonomous AI? Why is this technology becoming indispensable for your organization?
    [article to come]


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  • | Percentage of organizations experiencing ransomware attacks worldwide from 2018 to 2022
  • | PRESSCLUB MIDDLE EAST | Fast, Efficient, Reliable: Artificial Intelligence in Production at BMW Group
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