ARTIFICIAL INTELLECT BASED ON INFORMATION ANALYSIS TO DO AND DECISION ACCEPTANCE TO DO SYSTEMS

Authors

  • Baxromov Komiljon Muzaffar o'g'li Author
  • Mamatov Shahzodbek Anvarjon oʻgʻli Author
  • Tursunov Samandarbek Raxmatilla o'g'li Author
  • Akbarov Alimurod Aziz o'g'li Author

Keywords:

AI technologies, Artificial intellect.

Abstract

To the information based decisions acceptance to do business decisions aware to do and management for analysis and AI technologies own inside Intuition​​ and to experience dependent traditional decision acceptance to do from the processes different according to the information based decisions acceptance to do to practice suitable concepts presented to grow for empirical information and advanced from algorithms uses . This approach of decisions correctness , they subjective considerations instead of objective from the evidence use According to Gartner, According to , by 2025 come , now analytical content 90 percent of creators artificial intellect by activated content to the creators This will turn into shift decision acceptance to do in the process information and increased analysis (D&A) going importance emphasizes . Decisions increasingly becoming complicated would go yes , organizations own of the elections quality , speed and accuracy improve for artificial to the intellect appeal are doing .

References

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2. Jackson, P. Introduction to Expert Systems . - 3rd ed. – Harlow: Addison Wesley, 1999. – 548 p.

3. Abdukodirov OT Artificial intellect systems in medicine usage // Uzbekistan information technologies Journal . – Tashkent: 2020. – No. 2. – P. 25–31.

4. Aminov AM, Shavkatov NB Artificial intellect and expert systems : theory and practice . – Tashkent: Science, 2019. – 196 p.

5. Gartner Inc. Top Strategic Technology Trends for 2021 . – Stamford, CT: Gartner Research, 2021. [ Electronic resource ] // https://www.gartner.com/en/documents/3987053 ( reference date of issue : 01.05.2025).

6. Gartner Inc. Predicts 2025: AI Technologies Will Transform Data Analytics and Decision Making . – Stamford, CT: Gartner, 2023. [ Electronic resource ] // https://www.gartner.com ( reference done date : 01.05.2025).

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Published

2025-05-18