What is Artificial Intelligence, What You Need to Know About Artificial Intelligence - Hints Blogging

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. As G Tech, in this article, we explained the artificial intelligence system in general terms and talked about its contributions to companies.

What is Artificial Intelligence?

Artificial intelligence is simply defined as systems that performs specific tasks which is similar to humans. 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, processes the relevant situation in line with the predetermined parameters and gives a reaction accordingly. In this process, artificial intelligence processes state-related data by combining it with fast, iterative and intelligent algorithms.

History of Artificial Intelligence

The term artificial intelligence, which was coined in 1956, has become more popular today with advances in science and technology such as the increase in data volumes and the development of algorithms and computations. In its early stages, studies on artificial intelligence were related to issues such as problem solving and symbolic methods. Artificial intelligence, which developed with machine learning in the following periods, continues to develop with deep learning, which enables it to perform operations such as speech, recognizing images and data, and making predictions.

How Artificial Intelligence Works

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 different methods and technologies. Some methods and technologies are 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 Technology: 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.

Why Is Artificial Intelligence 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 self-learning, the evaluation of unique data can be easily performed with artificial intelligence, and natural language processing (NLP) is a branch of artificial intelligence that allows computers to understand and produce natural human language. It uses computer programs to understand, interpret, analyze and synthesize human language.

How Does Artificial Intelligence Contribute to Companies?

Although artificial intelligence differs in the sector 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:

• It automates business processes and has the ability to make automated decisions.
• 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.

What Are the Potential Dangers of Artificial Intelligence?

1. Loss of intelligence: AI's learning and decision-making abilities are similar to human intelligence. Because AI must be programmed or trained by humans, it can be manipulated or misprogrammed by malicious humans. This may cause artificial intelligence systems to make incorrect or erroneous decisions.
2. Human unemployment: The development of artificial intelligence technologies can replace humans to do some work. This situation can cause human unemployment in many sectors.
3. Ethical issues: Artificial intelligence technologies can make critical decisions that affect human life and health. Therefore, the artificial intelligence system may cause ethical problems. For example, the use of autonomous weapons in a war or making artificial intelligence-supported decisions in the health sector may cause ethical problems.
4. Privacy breaches: Artificial intelligence technologies can be used to collect, store and analyze personal data. This may result in privacy violations.
5. Artificial intelligence race: The development of artificial intelligence technologies has become a race among many countries. This race could lead to increased cyber attacks, increased espionage activities and a global arms race.

Artificial intelligence is still very useful and complex technology today. To get the most out of AI systems, a company needs expertise in creating and managing solutions for it. For a successful AI management, companies need to implement processes and management strategies with the right tools.