 ,        -,       
  


           .         ,              .                 .       ,       . !        2D/3D ,       .          





 

 ,        -,       









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  ,  :

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   ,       ,   ,        .

  ,  ,    ,     ,       .    ,     ,          .         ,       ,  ,              -          .       ,       .

      ,   .          .         ,       .     ,  ,    ,    ,       :  , ,     .            ,         . ,              .            ,     .

        RealBigData.ru (https://realbigdata.ru/).   ,    ,     .               ,       ,    : ,   ,          .              -  !




      


                  .

          .               -.             ,  ,     .   ,   .             -         .    ,            .              ,  ,       ,   ,     ,    ,         .








   ,       .                       .          :

 .   ,     .

 .      -    .

 .               -.

 .        ( ),       .

  .          (-)    .

               ,      .            ,   ,     .         ,       ,           .

     ,         ,  ,             .    , ,  :         . ,        ,      ,  ,     .

           . ,          :           .          (   ).           ,       ,  ,   ,          ,  .  ,     ,     ,       .            .        (    ).        ,       .

    ,      ,  . , ,    ,           .             ,          .




 


                 ( 10).                -.          ,         :           IT-     2023 .




    


                :   廠  .      .           ,      .  ,   ,                .     ,     ,   :     .    ,   .     ,          .

          ,     .      .         ,       .

         ,         ,          .                  .         :    .         .




    


                     ,  , ,      ..     (2023 )         ( 300   ).          .  90%       2 .    ,  ,   120 [1 - F.Duarte (2023) Amount of Data Created Daily (https://explodingtopics.com/blog/data-generated-per-day (https://explodingtopics.com/blog/data-generated-per-day)).].

      ,   .         .    ,     1943  1965         ,    .      , ,     ,       .          ,                     .         .

   ,    1970  1989          .         ,     ,          .

   ( 2023 )    ,    ,       500     2000 .        ,      .    ,       ,   ,      ,    .  ,       ,   -    .

  ,             .          ,  .        ,              .   ,         ,           .




   


      ,     (),     .       -    .    50%    ,   35%     .          ,    .       . ,    ,       -,           .   ,                . ,        ,   ,  ,     .

,      ,      .                 .         .         󻠖     ,            .     ,          , ,   ,           ,        ,    .

       -  ,       .     ,   -     .           ,           (., Ozon, Wildberries  ..),      ,     .          ,            .            .      .        ,        .               ,         ,        .

    .   ,        ,  ,        .   ,        ,     ,       .         ,    .          ,       -    .       ,  -       .        .  :        ,     -   .                .     ,    .

      ,   ?    ,              -,    .              ,      ,        . :       ,     .




   



    ,             .      ,   ,   ,     ,      .

     .           ,    ,      ,       .       ,  ,     ,  .       ,    .    -     (),     .    :

  ,    ,    .              ,      .

 ,            ,    -    .

   ,            -       .

             .       ,    .




 


  Big Data     .        .  ,            ,             .        ,         ,    .                 .     ,       ,    .

       .   :

        .

   .

    .

       .

   .

       .    ,          :       ,    .     ,     .

-               .  , , -           .    .  ,    ,         .    ,         .  ,    ,      ,     .       . ,   ,     ,    ,      ,    .

          .       21 .        ,         .      ,   ,      .    ,          ,    ,      .  , ,              .        ,        .         ,        ,            .

   ,     ,      .        ,     ,    (,   , ).      (  Data Lake).     ,    .       PDF  DOC   JPEG-  MP4-.   ,            ,    ,        .    ,   ,     .     ,    (  Chief Data Officer).        ,       .      (  Data Governance).

,      ,   .                     (  Data Warehouse).           ETL (.  Extract, Transform, Load   , , ).   ,          ,        .      ,  ,      ,         -.

 ETL-   ,     .  ,          PDF-.    ,     ,   . ,             .      ,    PDF-   ,   -        .    ,     .      PDF-  .     , ,       .        ,        .




 


,       ,            .   :    ,         ,    ?       :       .         ,       ,          .        ,   ,  -, ,    ,     .

        . ,     .   :   .        .              .  ,       , :   95%    .          ,          ,       .               .        , :    ,   .

          ,   .   ,    ,   ,       .  ,        :    ,      ,       .     ,   -            .            .            .       ,    .           .

            (  Deep Learning).  ,    ,       .       ,   :    ,    -    . ,      ()      (   ).            .     ,    ,   .        ,          . ,        , ,       .




     


       ,     ,        [2 - Arif Cam, Michael Chui, Bryce Hall (2019) Global AI Survey: AI proves its worth, but few scale impact (https://www.mckinsey.com/featured-insights/artificial-intelligence/global-ai-survey-ai-proves-its-worth-but-few-scale-impact (https://www.mckinsey.com/featured-insights/artificial-intelligence/global-ai-survey-ai-proves-its-worth-but-few-scale-impact)).] ,     McKinsey & Company,        (       )    4  ,   .     ,       ,     ,      .

  ,             1020%,     510%     .   .   70%     ,                  .

 ,              .     30%      3%.    5%     10%.    ,    ,   , ,   310%.




     



       .           -,    .          :                   ?           .      ,   ,     ,            .    .




  


   (  -)     .       .      . ,             :








              :      5 ,       160      .    ,    .    ,     . ,         100.     ,        ?       .








        .                 :        .

      RealBigData.ru (https://realbigdata.ru/),       ,    .        ,        (     ).

     ,     230      5 , 130 .       ,      ,    21%  !   ?   ,   

             .          .        ,             ,  .        . ,        ,   -        .    ,          .            .  ?        .

         .      ,    ,      .      ,         .       .  ,          (    ),   :

1. .

2.  .

3. .

4.  .

5. .

6. ,    .

7. .

8. .

9. .

10.    .

         -   ,   (10  + 1       ),       ,    .        ,      .         :      ,    ,          ,       .      ,      .        ,     ,     ,                .

    : ,     ,      ,   ?     ,    ,   , ,    ?     ?    ,   ,    .     ,                  .  ,           ,      ,             .        ,    ,    .  ,             .   ,          .         .       ?  -         .

             ,    ,         .           :    ,        ?       ,      .     ,         .                 .

                .    , ,    .   .      - .   ,       ,      ,    .        ,    ,    .   , ,    .     ,     .   ,     .  ,  .

,     -    .   ,   ,  ,     .     Concrete compressive strength[3 -        (https://www.kaggle.com/competitions/dat200-2019-ca3/overview (https://www.kaggle.com/competitions/dat200-2019-ca3/overview)).],             .    ,               .    :

1. .

2.  .

3. .

4. .

5. .

6. .

7.  .

8.  .

9.  MixtureMeasurement9.

10.  SSL9000.

11.  O2_purityscore.

12.  F192.

13.   TysonScore.

14. .

15. .

16. .

   ,     ,      ,      . ,           ,        ,   (  ),     .         .           ,       ,      ,    .  ,  -  :   ,       ?,    - :    26.7%.        ,      .   ,                .




    



    ,    ,          .               -,         .                  ,               .  ,    ,       ,   .

   ,          ,           .   .         .  ,    -           .         ,       ,      .        ,   ,          .         ,              .     ,   ,  ,    ,      .       ,  ,          ,    , ,  ,          .

      ,           :

1.  ,     .

2. ,  .

3. ,     ,    , ,   .

  ,      ,      .       ,        -,      .

    ,      .       ,      .           ,      .            ,      .     :       ,    ,       .

          ,         .           (    ),    .

    ,    .        ,  , .     ,      .       .           .




 


  .      -,  -  . ,      ,  ,         ,  . ,               .

             ,    .      .         .  2021       ,       ,      ,            ,          .








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    ,            , -              .        ,  ,   ,   .         ,       .

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 23    .

  .

    .

  .

, ,   ,  ,     ,   .  .   ,                .       .       , ,     ,     .

        ,           , ,   ,       .      ,        .     ,         .   ,   .      ,       .

,    ,     ,         . ,      .    ,             ,     .            ,        .

,      .        . ,  ,        ,  .     ,     ,     ,    . ,          ,    .    ,   ,   .      -  ,  ,       . ,          .             ,  ,     .                   .

    ,        ,        ,    ,      !                .      ,  ,   ,  .            .         ,       .  ,         ,         .

              .        ,                 .          -   :    .     .      .         ,   ,     ,    ,     ,         .  ,           ,      ,       :   ,    .       ,         .

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        ,            .         (    ), ,      .          :

  ,   .

 .

         .

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,    ,         ,            .          ,        ,      .     ,   ,           ,       .

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             ,  ,  ,      .

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          .           -          .      ,      ,     ,  .







     .      -   .          .       ,      .       ,              ,        -    ,  ,    . ,    .

            ,      10   (-        ).     ,           ,      .    ,  ,             ( 12  13  ).    ,      3035 ,    .         ~50 !           ,    ,    -  .   ,     ,  ,       .      ,     ,     .

   ,      ,       .    ,       .   ,        ,   ,         ,      .    ,   ,         .

, ,      .       80%  ,                , ,  ,   . ,  ,         .      ,            ,        .    ,        :  ,  ,  .

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 :  ,     ,  ,    ,   ,  .

 :    ,      ,  ,  .

 :  (      ).   ,     ,             , .

     ,        ,      ,      .      ,     .              ,      :  .  ,     ,    ,      .  -    .  ,   ,                        ,   .










   -         ,          .     9598%        .         .         -       .

 ,    ,    ,           .               ,     .   ,  ,   ,          .               .

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 ,                   . ,  ,      . ,           .         .

,     - ,     .  ,        -,      .       ,    ,     .    .

     ,    ໠ -.         .      ,      .       ,           .    ,  ,     ,       ,  .








      .    ,            (1030   ).        .     .         .

 ,     ,   .  ,    ,    ,        .       -       .

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          .          .

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     -        .        ,   ,    ,   -           .  ,         ,             .     ,    ,     , -      .

     ,      ,  ,         .        ,     ,      ,  ,    ,      .        .       .            ,  ,    -,       .




    


             :      .        ,             .     ,          ,         .  ,         ,             .

 90-   .       ,     .         .       ,     ,    .       ,       .  ,      ,     ~5%  .    ,             .          , , , ,      ..     ,  .

     .     ,       ,     .         .    ,       .

   -,       ,     ,   ,      .           .    .             .              ,   ,    .

 ,     ,               .      :     ,    ,         ..            .          ,    .       (      Dashboard).         .       -    ,              ,          .

              .                  .       ,        -    ,       ,   ,  .             .         ,      .

    ,   ,                          .




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   ,    -   :         ?                (  -) CRM?    .  CRM      .            ,   .       ,            ,   :    ,   .      CRM,   [4 - Atlassian       ,      (https://habr.com/ru/news/753384/ (https://habr.com/ru/news/753384/)).]      .  ,   ,       2022 .

 CRM    ,            .        ,     ,              .            CRM,       .

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 CRM      ,           ,    .        ,    ,   .             . ,             CRM.    ,        CRM   ?

,              CRM,     .              ,  ,             .




 


  ,       ,  CRM  .          ,     .          CRM,      ,       .         ,                     .

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  ,      .      CRM    ,     . ,      CRM   ,             .    ,        .      : ,       ?

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   ,   ,       .

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      .   ,          .

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 CRM ,          ,    .

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  ,       ,        CRM.           .                 ,       ,    .        ,       ,         .           ,           .




   



  CRM    .      CRM,             .  ,        ,    .      ,     .

    , /    ,    .          .  ,             .                500    .           .     , ,  ,       .      .     . -        (    ). , ,        (Data Engineer).                 .

           ,      (Data Analitycs).       ,    .       ,    ,        .            .     .     ,      ,             .    ,       ,     .

                 ,   .           (Machine Learning Engineer).           ,      .       ,      ,      .

                 500    .    ,          .     -                   .              ,   ,    ,   ,   ,   .

    ,                (. Data Scientists).              ,         .




    



       .          :   ,   ,        .. ..      ,       .  ,      ,         .                .    -        .

          ,      . ,          ,      [5 - .  (2021). .    .]:

 .

    .

  (    ).

 .

 .

   .

      .

,        ,        .    , ,        ,    .

 , ,      ,         . ,       ,       .           .            .      ,    ,        .




 


        .              ,      (  )   .      :

       .

     - .

    :     ,     .

          ,     .

    ,         .

    ,        .  ,              .         .         :            .          .   ,       ,  -        .

      ,     .          ,          .             ,         ,       ,   :   !.      :

        :           ,      .

      ,              .      ,          -  .

,           ,          .  :        .

    ,       ,    .    ,    -,  ,           .          ,     ,  ,    .

     ,          :         ,          .    -  ,          ,                 ,     .    ,        ,       .

   Reddit[6 - Throwaway59724 (2021) I automated my job over a year ago and haven't told anyone (https://www.reddit.com/r/antiwork/comments/s2igq9/i_automated_my_job_over_a_year_ago_and_havent/ (https://www.reddit.com/r/antiwork/comments/s2igq9/i_automated_my_job_over_a_year_ago_and_havent/)).]     ,      - ,   ,         ,          10     8      ,   .       .     ,  ,   .           ,    . ,      ,      ,          .  -     .

       ,      :         ,       .         ,       ,   ,         .

         ,           .      Amazon,     .        ,     ,     [7 - Spencer Soper (2021) Fired by Bot at Amazon: Its You Against the Machine (https://www.bloomberg.com/news/features/2021-06-28/fired-by-bot-amazon-turns-to-machine-managers-and-workers-are-losing-out (https://www.bloomberg.com/news/features/2021-06-28/fired-by-bot-amazon-turns-to-machine-managers-and-workers-are-losing-out)).]. ,    ,         .    ,      ,    .

       .      ,         .               .           .     Amazon         COVID-19.      ,     ,      .      ,         .         ,  :

,   .

       .

     .

     ,   ,    .

  -  

    4  .         ,        .             .

  ,       .  ,     4  ,         .            ,   .         ,     .




 


       .    .

     ,    ,  ,  ,        ,          .      ,     ,  ,    ,        .

              ,    .       ,         ,          :

   .

 ,   .

  ,     .

   ,    .

,  .

          .

   ,      .

        

        ,       .         . ,      .            .  ,      ,     ,      .       ,        .

  ,      ,  ,     .           (   )   .      ,         .    ,     ,   ,   100%,          .         .

      (  ).     . ,      ,     .     [8 - Lerner A.A.-O., Benzvi C. Let Food Be Thy Medicine: Gluten and Potential Role in Neurodegeneration. Cells. 2021;10:756. doi:10.3390/cells10040756. (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065505/ (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065505/)).],      .  , -         .   , , .    ,  .    .     ,    .            .      ,    -       .         -      .

   :          ,     ,    ,        .         ,                 .     ,  ,   :      QR-. ,    .




   


        ,  .   ,    ,  ,     .      ,         .       ,     PDCA   (---)  .

  ,    ,       ,     .        .          ,        .                  ,       .          .

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 Samsung       Gnusmas[9 - Samsung Gnusmas (https://www.tmdn.org/tmview/welcome#/tmview/detail/EM500000018739003 (https://www.tmdn.org/tmview/welcome#/tmview/detail/EM500000018739003)).],      Samsung. ,   ,              ,              .   ,  ,  Samsung         Gnusmas   ,        . ,         ,    ,     .           ,    .   -  -     ,             .

 ,   ,         ,   Google Alerts  .            .        ,        .         ,          .        ,   ,        .         ,                .                  .




      


        ,           ,   ,     .          .

   :         ,                 -. ,        ,          .          ,   .     [10 - Sberbank Russian Housing Market Dataset (https://www.kaggle.com/c/sberbank-russian-housing-market/data (https://www.kaggle.com/c/sberbank-russian-housing-market/data)).],      Kaggle       .       ,              .

     ,        .     ,    :

   14 .

    24 .

 ,  , 101 .

     288 .

    ,     ,     .       .        ,              .

         :  ,   ,       ,   .    .        ,   .

    ,             . ,         [11 -     ,         .]:








       . ,       ,    ,     .                       .             .        ,      .       : ,   ,     5     ,  10    ,     5.6%,     2.3?                .

     -     .                      .

         ,   .           ,       ,    ,    .              .      , , ,         (          ).

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          .               ,   ,   ,     .              ,  ,        (    ).

          ,                  .    ,        . ,  :

90%         .

5%   ,     ,   ,    .

2%   ,   ..

2%    , ,     .

1%     ,  , .

   ,            .  90%   .           .            .          .         -,         .

,          ,        .                 . ,     ,      ,        .  ,         .

       ,        ,  :    ,   ?           90% .           ,          .

  ,       ,      .      :     ,    .          ,          .        .            .             ,      :  , ,  ..    ,               .

             .  ,       ,         ,   90%     ,     ,      ,     ,       .

,              ,     ,      .    ,        .         ,    .     :        ,     .




 


            ,         - .        ,    . ,    ,         .   ,      ,  ,    .        :   ,   ,         ..,         .          , ,  .  ,           ,               ,     .

  ,  ,        . ,      ,       ,       .

,            .           .         .  ,         ,       ,     ,    -  .

   .      ,   .       .   :  ,                ,   .  ,      ( )            .           :      ,   ,      .           ,        .

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  ,  ,  .

, ,  .

   , , .

     .

, , , ,    .

    .

   ,       ,  ,   .

   .

  ,     ( ) ,     .

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     ,   ,   ,    100   ,      .

       ,   .  ,      .          ,          .

 ,        ,            ,        ,      (        ),          . ,    ,    ,              .         .

   ,      .  ,        ,    .        ,            .      ,     , ,   .              .

,    ,             .         ,        ,      ,  ,  .




 



           .     .     ,     , ,   ,   .  ,      -       .   ,      ,        ,          .     ,        .







        ,       -  .        ,        .  ,     (dashboard)  -,         ,      .   ,    ,    RealBigData.ru (https://realbigdata.ru/),      ,    .         .    , , .      ,             .

    ,          .  ,                  -  .   ,         .

,      ,    ,        .             ,     ,      ,  ,       ,   ,      .








   ,         ,       :

1.          ,     , ,   .

2.       : , ,   ,      ..

3.        .           .     ,      .

 ,        ,   .         ,  ,  ,        -  .

 ,   ,    ,    -           .   ,         .           .         .   :           .       .







              .          .         ,          ,   .   ,        ,             . ,           ,    ,            -.

               Major.    ,   , Major Auto,      .       ,         .      -         ,       ,     ,    ,          .         .

           QR-   .                ,  QR-       .        ,   - ,       .    -          ,             :

 .

  ,        (        ..).

     : ,    ,  ,     .

          .                (     ).

  ,     ,     .

              .      ,       .         ,      -,           ,        .

   ,       ,     Major           .    ,  ,  -.  -    -.    ,          .     ,     ,          ( ).     ,    ,   ,     .  ,         -  ,           ,          .

    ,  ,  Major     ,             .         .       ,          ,         ,         .       ,          .







      ,    ,      ,       .                    ,    .          -,         .

 -     ,   ,      ,          .     -      .        .             ,     .                     .  ,      .            ,   ,       .           .     ,     ,        ,           .           ,   ,        .

        80%[12 -  (2022)        II   77% (https://finance.rambler.ru/realty/49397196-dolya-beznalichnyh-platezhey-v-rossii-po-itogam-ii-kvartala-prevysila-77/ (https://finance.rambler.ru/realty/49397196-dolya-beznalichnyh-platezhey-v-rossii-po-itogam-ii-kvartala-prevysila-77/)).],      ,        .          .    -       ,              .  ,      ,          ,    .  ,      ,    .            .    ,     :    ,    ,   ,   ,      ..  ,                     .

 ,              ,     ,           .     ,         . ,     - .     50%   9  2021 [13 - (2021)  .   9  2021.   49.09%   38.75 .     47.56%  557.98 . (https://cbonds.ru/news/1496049/ (https://cbonds.ru/news/1496049/)).]        54%  2022[14 - (2023) .       53,7% (https://www.krsk.kp.ru/online/news/5170145/ (https://www.krsk.kp.ru/online/news/5170145/)).].  ,      ,     -.                  .

     .          40  ,      .             .              .          ,     .       ,          .

  ,        ,          .                 ,             .        ,            .

  [15 - J.C. Buzby, J. Hyman (2012) Total and per capita value of food loss in the United States (http://ucce.ucdavis.edu/files/datastore/234-2425.pdf (http://ucce.ucdavis.edu/files/datastore/234-2425.pdf)).],    ,      ,    47  ,          .    ,       ,        ,    .

,             .         -          .             ,    ,       .               .

 1987   Walmart  9%   [16 -  .. (2019)   .   .].       .      ,            ,    .  Walmart    ,        ,   1990       40% ,   .

Walmart       .        , ,     .     ,    1980-            ,        , , ,      .

   .  ,            .    ,        .      Walmart          9%  27%  1995 ,          48%.    ,   1999       1% .      20%.

 ,           Walmart,    ,           . ,  ,       ,      ,        ,       .




 



       ,       .             -,   ,    .

  ,    ,        ,    .         ,  ,    .                    : ., MyTarget,    .




  .


   .

   ,     (https://www.litres.ru/chitat-onlayn/?art=70051603)  .

      Visa, MasterCard, Maestro,    ,   ,     ,  PayPal, WebMoney, ., QIWI ,       .



notes








1


F.Duarte (2023) Amount of Data Created Daily (https://explodingtopics.com/blog/data-generated-per-day (https://explodingtopics.com/blog/data-generated-per-day)).




2


Arif Cam, Michael Chui, Bryce Hall (2019) Global AI Survey: AI proves its worth, but few scale impact (https://www.mckinsey.com/featured-insights/artificial-intelligence/global-ai-survey-ai-proves-its-worth-but-few-scale-impact (https://www.mckinsey.com/featured-insights/artificial-intelligence/global-ai-survey-ai-proves-its-worth-but-few-scale-impact)).




3


       (https://www.kaggle.com/competitions/dat200-2019-ca3/overview (https://www.kaggle.com/competitions/dat200-2019-ca3/overview)).




4


Atlassian       ,      (https://habr.com/ru/news/753384/ (https://habr.com/ru/news/753384/)).




5


.  (2021). .    .




6


Throwaway59724 (2021) I automated my job over a year ago and haven't told anyone (https://www.reddit.com/r/antiwork/comments/s2igq9/i_automated_my_job_over_a_year_ago_and_havent/ (https://www.reddit.com/r/antiwork/comments/s2igq9/i_automated_my_job_over_a_year_ago_and_havent/)).




7


Spencer Soper (2021) Fired by Bot at Amazon: Its You Against the Machine (https://www.bloomberg.com/news/features/2021-06-28/fired-by-bot-amazon-turns-to-machine-managers-and-workers-are-losing-out (https://www.bloomberg.com/news/features/2021-06-28/fired-by-bot-amazon-turns-to-machine-managers-and-workers-are-losing-out)).




8


Lerner A.A.-O., Benzvi C. Let Food Be Thy Medicine: Gluten and Potential Role in Neurodegeneration. Cells. 2021;10:756. doi:10.3390/cells10040756. (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065505/ (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065505/)).




9


Samsung Gnusmas (https://www.tmdn.org/tmview/welcome#/tmview/detail/EM500000018739003 (https://www.tmdn.org/tmview/welcome#/tmview/detail/EM500000018739003)).




10


Sberbank Russian Housing Market Dataset (https://www.kaggle.com/c/sberbank-russian-housing-market/data (https://www.kaggle.com/c/sberbank-russian-housing-market/data)).




11


    ,         .




12


 (2022)        II   77% (https://finance.rambler.ru/realty/49397196-dolya-beznalichnyh-platezhey-v-rossii-po-itogam-ii-kvartala-prevysila-77/ (https://finance.rambler.ru/realty/49397196-dolya-beznalichnyh-platezhey-v-rossii-po-itogam-ii-kvartala-prevysila-77/)).




13


(2021)  .   9  2021.   49.09%   38.75 .     47.56%  557.98 . (https://cbonds.ru/news/1496049/ (https://cbonds.ru/news/1496049/)).




14


(2023) .       53,7% (https://www.krsk.kp.ru/online/news/5170145/ (https://www.krsk.kp.ru/online/news/5170145/)).




15


J.C. Buzby, J. Hyman (2012) Total and per capita value of food loss in the United States (http://ucce.ucdavis.edu/files/datastore/234-2425.pdf (http://ucce.ucdavis.edu/files/datastore/234-2425.pdf)).




16


 .. (2019)   .   .


