Artificial Intelligence Technologies - Hoshino Shiro

Artificial Intelligence Technologies


Artificial Intelligence Technologies – It currently has an impact on a variety of human lives and will continue to do so.

Additionally, the development of new technologies like big data, chatbots, self-driving cars, robotics, and the Internet of Things has largely been driven by AI technology (IoT).

Because of the many advantages that may be offered to businesses or organizations, such as raising customer happiness or lowering the risk of poor investments, it is expected that the adoption of this technology will continue to rise.

Artificial Intelligence Technologies

Artificial Intelligence Technologies

According to the IDC analysis, by 2023, corporate spending on AI technology is expected to reach $97.9 billion.

In the meantime, a recent PwC poll titled the “2021 AI Predictions Report” discovered that over 50% of participants claimed their organizations had boosted investment in AI over the previous year.

What then is AI? The word AI, which stands for artificial intelligence, has two syllables. While intelligence is defined as “intelligence,” artificial might be understood to mean “artificial.” Artificial intelligence stands for this.

A computer system (machine) with AI possesses intelligence akin to that of a person. In this instance, AI is able to reason (apply rules to derive conclusions), learn (acquire information and rules for applying it), and self-correct independently.

AI can be defined as a computer system that can perform tasks by mimicking human thought processes.

The newest technology products or services, research, consumer behavior analysis for businesses, fraud detection, market estimates or sales forecasts, monitoring security on the internet and IT, and automating tasks are currently the most prevalent examples of AI applications.

AI classification

1.Primary AI Classification:

  • Powerful AI:

AI system having general cognitive abilities similar to humans. This AI system has enough intelligence to come up with a solution for any task or command it executes when given a task or command that has not been recognized.

Strong AI (Strong AI):

a machine learning algorithm created and honed for a particular purpose. Examples include Google Assistant and Apple Siri.

2.Other classifications for AI

Reactive devices (Reactive Machines)

Deep Blue, which can recognize pieces on the chessboard and foretell plays to win games, is an illustration of this type of AI. Unfortunately, this AI system cannot be utilized in a variety of contexts.

  • Poor Memory:

AI with the capacity to make future decisions. Consider a self-driving car that can plan its next excursions based on its prior travel experiences.

Theories of Mind (Theory of Mind)

an AI system that makes decisions based on its own thoughts, aspirations, and intents. There is currently no such AI.

Self-Awareness (Self-Awareness)

Machines that are self-aware enough to comprehend the circumstance and are capable of analyzing data to determine how other people are feeling. There isn’t currently any AI of this type.

Results of AI Technology Examples

Automated Robotic Process (RPA)

  • Computer vision
  • Computer Learning

Processing of Natural Language (NLP)

In robotics

Launch of AI in Indonesia


the BJtech

The Nodeflux

the Snapcart

  • Balinese


The Dattabot

The AiSensum

  • EVA

The Botika

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