{"id":54200,"date":"2024-04-15T12:28:39","date_gmt":"2024-04-15T10:28:39","guid":{"rendered":"https:\/\/astek.pl\/uslugi\/cloud-computing-services-amazon-web-services\/operationalization-of-machine-learning-solution-for-drug-demand-prediction\/"},"modified":"2024-08-30T15:54:18","modified_gmt":"2024-08-30T13:54:18","slug":"operationalization-of-machine-learning-solution-for-drug-demand-prediction","status":"publish","type":"page","link":"https:\/\/astek.pl\/en\/uslugi\/cloud-computing-services-amazon-web-services\/operationalization-of-machine-learning-solution-for-drug-demand-prediction\/","title":{"rendered":"Operationalization of Machine Learning solution for drug demand prediction"},"content":{"rendered":"

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Operationalization of Machine Learning solution for drug demand prediction<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|desktop” _builder_version=”4.24.3″ _module_preset=”default” background_image=”https:\/\/astek.pl\/wp-content\/uploads\/2024\/04\/algorytm_kodowanie-1.jpg” background_position=”top_center” width_tablet=”90%” width_phone=”90%” width_last_edited=”on|tablet” min_height=”455px” custom_margin=”50px||50px||true|false” custom_padding=”50px|50px|50px|50px|true|true” custom_padding_tablet=”25px|25px|25px|25px|true|true” custom_padding_phone=”25px|25px|25px|25px|true|true” border_radii=”on|15px|15px|15px|15px” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.24.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text content_tablet=”<\/p>\n

Client \u2013 Global Swiss medical concern<\/h2>\n

” content_phone=”<\/p>\n

Client \u2013 Global Swiss medical concern<\/h2>\n

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Client \u2013 A global Swiss pharmaceutical company<\/h2>\n

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Project details<\/span><\/h2>\n

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Industry<\/strong>\u00a0\u2013 Medicine and pharmacy<\/p>\n

Competence center<\/strong>\u00a0\u2013 Advanced Data Analytics<\/p>\n

Technologies\u00a0<\/strong>\u2013 R\u200b, GitLab\u200b, AWS, (EC2, S3, ECR)\u200b, Docker\u200b, Tableau<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.24.3″ _module_preset=”default” background_image=”https:\/\/astek.pl\/wp-content\/uploads\/2024\/04\/bckg-recomendation-1.png” background_position=”top_left” background_vertical_offset=”0%” custom_margin=”0px||||false|false” custom_padding=”100px||100px||false|false” global_colors_info=”{}”][et_pb_row use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” _builder_version=”4.24.3″ _module_preset=”default” width_tablet=”” width_phone=”90%” width_last_edited=”on|phone” custom_padding=”0px||0px||true|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.24.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.24.3″ _module_preset=”default” text_text_color=”RGBA(255,255,255,0)” header_2_font=”|700|||||||” header_2_text_align=”center” header_2_text_color=”#FFFFFF” header_2_font_size=”38px” custom_margin=”19px||19px||false|false” custom_padding=”||||false|false” header_text_align_tablet=”center” header_text_align_phone=”center” header_text_align_last_edited=”on|tablet” header_2_text_align_tablet=”” header_2_text_align_phone=”center” header_2_text_align_last_edited=”on|phone” header_2_font_size_tablet=”38px” header_2_font_size_phone=”38px” header_2_font_size_last_edited=”on|phone” header_2_line_height_tablet=”” header_2_line_height_phone=”58px” header_2_line_height_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

Project description<\/h2>\n

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The aim of the project was to create tools to predict the production needs of an influenza drug. The algorithm examines the occurrences of influenza in geographical terms and based on historical data, then the ML Ops infrastructure automates the process taking place entirely in the cloud environment. The source code for R is in the GitLab repository. Pipeline collects historical data and converts it in the form of a model in the AWS cloud. The results are presented in real time in Tableau. Thanks to this, the client can estimate the amount of production needed, reduce its costs and predict the development of the disease.<\/p>\n

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Other
Projects<\/h2>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”3_5″ disabled_on=”on|on|off” _builder_version=”4.24.3″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.24.3″ _module_preset=”default” width_tablet=”90%” width_phone=”90%” width_last_edited=”on|tablet” custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.23.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_tabs active_tab_background_color=”#f3f3f3″ inactive_tab_background_color=”#f3f3f3″ active_tab_text_color=”#009c43″ _builder_version=”4.24.3″ _module_preset=”default” tab_text_color=”#a4a4a4″ tab_font=”||||||||” background_color=”#f3f3f3″ custom_margin=”-60px||||false|false” custom_margin_tablet=”0px||||false|false” custom_margin_phone=”” custom_margin_last_edited=”on|tablet” custom_padding=”50px||50px||true|false” animation_direction=”right” custom_css_main_element=”display:flex;||||” custom_css_after=”||” custom_css_free_form=”ul.et_pb_tabs_controls{|| background-color:#f3f3f3;|| width:100%;|| margin-top:70px;||}||@media all and (max-width: 980px) {||ul.et_pb_tabs_controls{|| background-color:#f3f3f3;|| \twidth:100%;||\t margin-top:0px;||\t}||}||||\/*||.et-pb-moved-slide{|| transform:translate(1000px);|| transition-duration:0s!important;||}*\/||” custom_css_tab=”width:100%;||font-weight:500!important;||border:none!important;||||||” custom_css_active_tab=”\t\topacity:1!important;||animation-name:fadeInOut,moveLeft300px!important;||\tanimation-duration:1s!important;||||” custom_css_tabs_content=” width:100%;” border_radii=”off||15px|15px|” border_width_all=”0px” global_colors_info=”{}” custom_css_main_element_last_edited=”on|tablet” custom_css_main_element_tablet=”display:block;” custom_css_main_element_phone=”display:block;”][et_pb_tab title=”Building an analytical platform” _builder_version=”4.24.3″ _dynamic_attributes=”link_option_url” _module_preset=”default” body_font=”|300|||||||” body_text_align=”left” body_text_color=”#FFFFFF” body_font_size=”18px” tab_font_size=”22px” tab_line_height=”1em” background_color=”#f3f3f3″ background_enable_color=”on” background_image=”https:\/\/astek.pl\/wp-content\/uploads\/2024\/04\/aws.jpg” background_enable_image=”on” position_origin_a=”center_center” custom_padding=”10%|50px|50px|50px|false|true” custom_padding_tablet=”10%|25px|50px|25px|false|true” custom_padding_phone=”10%|25px|50px|25px|false|true” custom_padding_last_edited=”on|tablet” link_option_url=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjUxNzA3In19@” custom_css_main_element=”border-radius:15px;||justify-content:center!important;||width:100%;||margin-left:50px;||animation: 3s linear 1s infinite running slidein!important;||” global_colors_info=”{}” custom_css_main_element_last_edited=”on|tablet” custom_css_main_element_tablet=”border-radius:15px;||justify-content:center!important;||width:100%;||animation: 3s linear 1s infinite running slidein!important;||” custom_css_main_element_phone=”border-radius:15px;||justify-content:center!important;||width:100%;||animation: 3s linear 1s infinite running slidein!important;||”]<\/p>\n

Medicine and pharmacy<\/p>\n

Building an analytics platform<\/span><\/strong><\/h3>\n

As part of the project, ASTEK Poland created a platform that automatically and intelligently manages the loading, extraction, transformation, verification, validation and storage of data making it ready for analysts and data scientists. \"\"<\/p>\n

[\/et_pb_tab][et_pb_tab title=”Building an Augmented Analytics platform on AWS” _builder_version=”4.24.3″ _dynamic_attributes=”link_option_url” _module_preset=”default” body_font=”|300|||||||” body_text_align=”left” body_text_color=”#FFFFFF” body_font_size=”18px” tab_font_size=”22px” tab_line_height=”1em” background_color=”RGBA(255,255,255,0)” background_enable_color=”on” background_image=”https:\/\/astek.pl\/wp-content\/uploads\/2024\/04\/platforma-analityczna-2.jpg” background_enable_image=”on” position_origin_a=”center_center” custom_padding=”10%|50px|50px|50px|false|true” custom_padding_tablet=”10%|25px|50px|25px|false|true” custom_padding_phone=”10%|25px|50px|25px|false|true” custom_padding_last_edited=”on|tablet” link_option_url=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjUxODIzIn19@” custom_css_main_element=”border-radius:15px;||justify-content:center!important;||height:410px;||margin-left:50px;||animation: 3s linear 1s infinite running slidein!important;||||” global_colors_info=”{}” custom_css_main_element_last_edited=”on|tablet” custom_css_main_element_tablet=”border-radius:15px;||justify-content:center!important;||height:410px;||animation: 3s linear 1s infinite running slidein!important;” custom_css_main_element_phone=”border-radius:15px;||justify-content:center!important;||height:410px;||animation: 3s linear 1s infinite running slidein!important;”]<\/p>\n

Medicine and pharmacy<\/p>\n

 <\/p>\n

Building an Augmented Analytics platform on AWS<\/span><\/strong><\/h3>\n

 <\/p>\n

AWS was selected as the cloud platform for deploying end-to-end analytics solutions made available at enterprise scale and in a Managed Service and SaaS model. The main premise and backbone of the project was to provide technical and business teams with isolated, secured and fully managed work environments to execute data analytics.<\/p>\n

\"\"<\/p>\n

[\/et_pb_tab][\/et_pb_tabs][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.24.3″ _module_preset=”default” background_color=”#00606f” custom_margin=”||||false|false” custom_padding=”50px||50px||true|false” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.24.3″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.23.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.24.3″ _module_preset=”default” header_2_font=”|800|||||||” header_2_text_align=”center” header_2_text_color=”#FFFFFF” header_2_font_size=”38px” custom_margin=”19px||15px||false|false” global_colors_info=”{}”]<\/p>\n

Contact us<\/h2>\n

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Do you want to know more? Do you have additional questions?
Feel free to contact us!<\/p>\n

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