Artificial Intelligence

What Is Artificial Intelligence?

Artificial intelligence is simply defined as systems that mimic human intelligence to perform specific tasks and can improve themselves by iterating the information they collect. The most important feature that distinguishes artificial intelligence from today’s technology systems is that it can imitate human intelligence. This system observes the existing situations and processes the relevant situation in line with the predetermined parameters and prompts a reaction accordingly. In this process, artificial intelligence processes state-related data by combining it with fast, iterative and intelligent algorithms.

Artificial intelligence is systems that enable machines to perform human-like tasks, learn from experience, and adapt to new inputs. With artificial intelligence, it is basically aimed to develop human competencies and contribute to them. Companies, on the other hand, use artificial intelligence in various fields, from customer service to supply chain management, depending on the industry.
Artificial intelligence works by combining large-scale data with intelligent algorithms and iterative processing. In this process, the patterns or features of the processed data allow the artificial intelligence to learn automatically. Artificial intelligence with various functions works together with various methods and technologies.

What Are the 4 Types of AI?

If we look at it from a broad perspective, we can list artificial intelligence in four types: reactive machines, limited memory, theory of mind and self-awareness.
Reactive machines are the simplest artificial intelligence systems, they have no memories and are incapable of using past experiences.
Limited memory types are machines that can look into the past. We can give autonomous vehicles as an example of this type. It observes the speed and direction of other vehicles and must do so over a period of time, not instantaneously.
Another type of machine is the theory of mind. This type can be called the dividing point between our current and future technology. These machines create ideas and memories not only about an event or the world, but also about people, animals and objects in the world.
As a final step, we can talk about the type of self-awareness. Self-awareness and consciousness means being aware of ourselves. With this self-awareness, we perceive that someone who constantly honks the horn in traffic is impatient or angry. The final step in the development of artificial intelligence is to create machines that can do this. While technology is far from that at the moment, work continues on memory, learning, and their ability to link decisions with past experiences.

What Are The Examples Of AI In Real Life?

Artificial intelligence is there to help us in many areas of our lives, even if we are not aware of it most of the time. The following examples can be given for this:
Using virtual filters on our faces when taking pictures and using face ID to unlock our phones are two AI applications that are part of our daily lives. The first includes face detection, which means that any human face is identified. The second uses face recognition, where a specific face is recognized. Facial recognition is also used by government agencies or for surveillance and security at airports. For example, London Gatwick Airport uses facial recognition cameras as identity checks before allowing passengers to board the plane.
There are built-in or downloadable auto-correction tools for editors that check for typos, grammar, readability, and plagiarism as they write documents, depending on their level of complexity. It may have taken you some time to learn your language before you can speak fluently. Similarly, artificially intelligent algorithms also use machine learning, deep learning, and natural language processing to identify language misuse and suggest corrections. Linguists and computer scientists work together to teach the machine grammar, just as it is taught in school. Machines are fed an abundance of high-quality language data organized in a way that machines can understand. If you misuse even a single comma, the editor flags it in red and brings up suggestions.

Why is AI So Important?

Thanks to artificial intelligence, it is possible to make the best use of data, which has a much more important role for companies today. Artificial intelligence analyzes more and deeper data using neural networks with many layers. In addition, thanks to the deep neural networks in question, the validity and reliability of the analysis results revealed by artificial intelligence are very strong. Since its algorithms are also self-learning, the evaluation of unique data can be easily performed with artificial intelligence. These are the reasons why artificial intelligence is so important.

What Are the Benefits of AI?

Artificial intelligence has benefits in improving the quality of life and in many general issues. These benefits can be listed as follows:
● Improving the customer experience,
● Cognitive functions, problem solving and better algorithm,
● Work efficiency,
● Changes and developments in agriculture,
● To create new opportunities for professions,
● Reduction of errors,
● Criminal and justice system,
● Improved space research.

Who is the father of AI?

The history of the concept of “artificial intelligence” is as old as modern computer science. The mastermind said, “Can machines think?”. Alan Turing brought up the question of machine intelligence to the discussion in 1943. Computer science and artificial intelligence concepts were born thanks to electromechanical devices produced with cryptography analysis requirements during World War II.

How Does AI Work?

The work mechanism of Artificial Intelligence can be explained as follows:
Machine Learning: By automating the creation of analytical models with artificial intelligence machine learning, it can find insights in data using neural networks, statistics, physics methods without the need for separate programming.
Artificial Neural Network: It includes the processing of information by responding to external inputs thanks to artificial intelligence and artificial neural networks consisting of units that transfer information between them. With this method, artificial intelligence can find the connections between the units and make sense of the data defined by multiple passes.
Deep Learning: With this method, artificial intelligence uses advanced computation and training techniques to learn the complex model of many data units. In this process, it uses large neural networks with multiple layers of processing units.
Cognitive Computing: This system enables artificial intelligence to transfer a human-like interaction to machines. With cognitive computing, artificial intelligence is enabled to interpret images, speech, data and then give them consistent feedback.
Advanced Algorithm: This system enables AI to analyze more data faster and at multiple levels. In addition, the advanced algorithm is used to understand complex systems, identify and optimize rare scenarios.
Graphical Processing Units: Graphical processing units, which provide the computational power that artificial intelligence needs for iterative processing, enable neural networks to be trained.

What Are The Applications of AI?

As mentioned above, artificial intelligence is with us in many aspects of our lives, even if we are not aware of it. The most well-known artificial intelligence applications are as follows:
● Alexa
● Siri (Apple)
● Google Assistant
● Microsoft Cortana
● Elsa Speak
● Socratic
● Fyle
● DataBot
● Hound
● Youper

How Does Artificial Intelligence Help Companies?

Although artificial intelligence differs in sectoral terms with its functions and usage areas, there are certain advantages it offers to companies. Artificial intelligence enables companies to be one step ahead in an increasingly competitive environment by contributing to the decision processes of companies regarding their goals and strategies, with suggestions and data. However, other contributions of artificial intelligence to companies can be listed as follows:
● Business processes are automated.
● Increases efficiency and reduces costs.
● Increases sales rates.
● Increases product or service quality.
● It provides optimization of business processes such as supply chain and logistics.
● It improves customer satisfaction, loyalty and experience.
● It provides more efficient and improved workforce allocation.
● It helps to carry out personalized marketing activities.
Artificial intelligence is still a new and complex technology today. To get the most out of AI systems, a company needs expertise in creating and managing solutions for it. For successful AI management, companies need to implement processes and management strategies with the right tools.