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13=&#8221;column_border_radius=&#8220;none&#8220;&#8221; 14=&#8221;column_link_target=&#8220;_self&#8220;&#8221; 15=&#8221;overflow=&#8220;visible&#8220;&#8221; 16=&#8221;gradient_direction=&#8220;left_to_right&#8220;&#8221; 17=&#8221;overlay_strength=&#8220;0.3&#8220;&#8221; 18=&#8221;width=&#8220;1\/1&#8220;&#8221; 19=&#8221;tablet_width_inherit=&#8220;default&#8220;&#8221; 20=&#8221;animation_type=&#8220;default&#8220;&#8221; 21=&#8221;bg_image_animation=&#8220;none&#8220;&#8221; 22=&#8221;border_type=&#8220;simple&#8220;&#8221; 23=&#8221;column_border_width=&#8220;none&#8220;&#8221; 24=&#8221;column_border_style=&#8220;solid&#8220;&#8221; column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; column_element_direction_desktop=&#8221;default&#8221; column_element_spacing=&#8221;default&#8221; desktop_text_alignment=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; column_backdrop_filter=&#8221;none&#8221; column_shadow=&#8221;none&#8221; column_border_radius=&#8221;none&#8221; column_link_target=&#8221;_self&#8221; overflow=&#8221;visible&#8221; gradient_direction=&#8221;left_to_right&#8221; overlay_strength=&#8221;0.3&#8243; width=&#8221;1\/1&#8243; tablet_width_inherit=&#8221;default&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221;][split_line_heading 1=&#8221;font_style=&#8220;h2&#8220;&#8221; 2=&#8221;line_reveal_by_space_text_effect=&#8220;none&#8220;&#8221; 3=&#8221;stagger_animation=&#8220;true&#8220;&#8221; 4=&#8221;content_alignment=&#8220;default&#8220;&#8221; 5=&#8221;mobile_content_alignment=&#8220;inherit&#8220;&#8221; 6=&#8221;link_target=&#8220;_self&#8220;&#8221; 7=&#8221;text_content=&#8220;Contexte&#8220;&#8221; animation_type=&#8221;line-reveal-by-space&#8221; font_style=&#8221;h2&#8243; line_reveal_by_space_text_effect=&#8221;default&#8221; stagger_animation=&#8221;true&#8221; content_alignment=&#8221;default&#8221; mobile_content_alignment=&#8221;inherit&#8221; link_target=&#8221;_self&#8221; text_content=&#8221;Context&#8221;][\/split_line_heading][nectar_responsive_text 1=&#8221;font_size_max=&#8220;21px&#8220;&#8221;]As the Carif-Oref for the Centre-Val de Loire region, <a href=\"https:\/\/gipalfa.centre-valdeloire.fr\/#\">Gip Alfa<\/a>\u00a0provides guidance, training, and employment professionals with an <strong><span style=\"color: #d65ff2;\">analysis tool to better understand the region&#8217;s skills needs<\/span><\/strong>. In order to modernize and optimize the use of its data, Gip Alfa has partnered with TRIMANE to <strong><span style=\"color: #d65ff2;\">design a more efficient infrastructure that integrates advanced artificial intelligence solutions<\/span><\/strong>.[\/nectar_responsive_text][\/vc_column_inner][\/vc_row_inner][\/nectar_sticky_media_section][nectar_sticky_media_section 1=&#8221;image=&#8220;856&#8220;&#8221; section_type=&#8221;image&#8221; image=&#8221;3309&#8243;][vc_row_inner 1=&#8221;column_direction=&#8220;default&#8220;&#8221; 2=&#8221;column_direction_tablet=&#8220;default&#8220;&#8221; 3=&#8221;column_direction_phone=&#8220;default&#8220;&#8221; 4=&#8221;text_align=&#8220;left&#8220;&#8221; 5=&#8221;row_position=&#8220;default&#8220;&#8221; 6=&#8221;row_position_tablet=&#8220;inherit&#8220;&#8221; 7=&#8221;row_position_phone=&#8220;inherit&#8220;&#8221; 8=&#8221;overflow=&#8220;visible&#8220;&#8221; 9=&#8221;pointer_events=&#8220;all&#8220;&#8221; column_margin=&#8221;default&#8221; column_direction=&#8221;default&#8221; column_direction_tablet=&#8221;default&#8221; column_direction_phone=&#8221;default&#8221; text_align=&#8221;left&#8221; row_position=&#8221;default&#8221; row_position_tablet=&#8221;inherit&#8221; row_position_phone=&#8221;inherit&#8221; overflow=&#8221;visible&#8221; pointer_events=&#8221;all&#8221;][vc_column_inner 1=&#8221;column_padding_tablet=&#8220;inherit&#8220;&#8221; 2=&#8221;column_padding_phone=&#8220;inherit&#8220;&#8221; 3=&#8221;column_padding_position=&#8220;all&#8220;&#8221; 4=&#8221;column_element_direction_desktop=&#8220;default&#8220;&#8221; 5=&#8221;column_element_spacing=&#8220;default&#8220;&#8221; 6=&#8221;desktop_text_alignment=&#8220;default&#8220;&#8221; 7=&#8221;tablet_text_alignment=&#8220;default&#8220;&#8221; 8=&#8221;phone_text_alignment=&#8220;default&#8220;&#8221; 9=&#8221;background_color_opacity=&#8220;1&#8220;&#8221; 10=&#8221;background_hover_color_opacity=&#8220;1&#8220;&#8221; 11=&#8221;column_backdrop_filter=&#8220;none&#8220;&#8221; 12=&#8221;column_shadow=&#8220;none&#8220;&#8221; 13=&#8221;column_border_radius=&#8220;none&#8220;&#8221; 14=&#8221;column_link_target=&#8220;_self&#8220;&#8221; 15=&#8221;overflow=&#8220;visible&#8220;&#8221; 16=&#8221;gradient_direction=&#8220;left_to_right&#8220;&#8221; 17=&#8221;overlay_strength=&#8220;0.3&#8220;&#8221; 18=&#8221;width=&#8220;1\/1&#8220;&#8221; 19=&#8221;tablet_width_inherit=&#8220;default&#8220;&#8221; 20=&#8221;animation_type=&#8220;default&#8220;&#8221; 21=&#8221;bg_image_animation=&#8220;none&#8220;&#8221; 22=&#8221;border_type=&#8220;simple&#8220;&#8221; 23=&#8221;column_border_width=&#8220;none&#8220;&#8221; 24=&#8221;column_border_style=&#8220;solid&#8220;&#8221; column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; column_element_direction_desktop=&#8221;default&#8221; column_element_spacing=&#8221;default&#8221; desktop_text_alignment=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; column_backdrop_filter=&#8221;none&#8221; column_shadow=&#8221;none&#8221; column_border_radius=&#8221;none&#8221; column_link_target=&#8221;_self&#8221; overflow=&#8221;visible&#8221; gradient_direction=&#8221;left_to_right&#8221; overlay_strength=&#8221;0.3&#8243; width=&#8221;1\/1&#8243; tablet_width_inherit=&#8221;default&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221;][split_line_heading 1=&#8221;font_style=&#8220;h2&#8220;&#8221; 2=&#8221;line_reveal_by_space_text_effect=&#8220;none&#8220;&#8221; 3=&#8221;stagger_animation=&#8220;true&#8220;&#8221; 4=&#8221;content_alignment=&#8220;default&#8220;&#8221; 5=&#8221;mobile_content_alignment=&#8220;inherit&#8220;&#8221; 6=&#8221;link_target=&#8220;_self&#8220;&#8221; 7=&#8221;text_content=&#8220;Contexte&#8220;&#8221; animation_type=&#8221;line-reveal-by-space&#8221; font_style=&#8221;h2&#8243; line_reveal_by_space_text_effect=&#8221;default&#8221; stagger_animation=&#8221;true&#8221; content_alignment=&#8221;default&#8221; mobile_content_alignment=&#8221;inherit&#8221; link_target=&#8221;_self&#8221; text_content=&#8221;Challenges&#8221;][\/split_line_heading][nectar_responsive_text 1=&#8221;font_size_max=&#8220;16px&#8220;&#8221;]The Skills Needs Identification (IBC) platform is a tool designed for employment and training stakeholders. It provides a <strong><span style=\"color: #d65ff2;\">better understanding of, and ability to anticipate and respond to, skills needs at the local level<\/span><\/strong>.<\/p>\n<p>Thanks to its interactive and intuitive approach, the platform offers a clear overview of the skills needs identified in the Centre-Val de Loire region. It cross-references job offers, the Operational Directory of Occupations (ROME), and the training courses available in the National Directory of Professional Certifications (RNCP) to identify gaps between companies&#8217; expectations and existing training programs, and to detect early signs of changes in occupations.<\/p>\n<p>The aim of this overhaul is to provide professionals with a reliable and accessible platform that allows them to use up-to-date data.<\/p>\n<p>This project meets several challenges:<\/p>\n<ul>\n<li><strong><span style=\"color: #d65ff2;\">Data centralization:<\/span><\/strong> providing a unified platform for consistent data management.<\/li>\n<li><strong><span style=\"color: #d65ff2;\">Automation and reliability:<\/span><\/strong> creating an automated data infrastructure that can evolve over time.<\/li>\n<li><strong><span style=\"color: #d65ff2;\">Artificial Intelligence:<\/span> <\/strong>developing Artificial Intelligence models for analyzing and interpreting training and employment data, matching skills to market opportunities.<\/li>\n<\/ul>\n<p>Gip Alfa expects TRIMANE to implement Artificial Intelligence models tailored to the specificities of the project and to automate the processing of data received each week.[\/nectar_responsive_text][\/vc_column_inner][\/vc_row_inner][\/nectar_sticky_media_section][nectar_sticky_media_section 1=&#8221;image=&#8220;857&#8220;&#8221; 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width=&#8221;1\/1&#8243; tablet_width_inherit=&#8221;default&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221;][split_line_heading 1=&#8221;font_style=&#8220;h2&#8220;&#8221; 2=&#8221;line_reveal_by_space_text_effect=&#8220;none&#8220;&#8221; 3=&#8221;stagger_animation=&#8220;true&#8220;&#8221; 4=&#8221;content_alignment=&#8220;default&#8220;&#8221; 5=&#8221;mobile_content_alignment=&#8220;inherit&#8220;&#8221; 6=&#8221;link_target=&#8220;_self&#8220;&#8221; 7=&#8221;text_content=&#8220;Contexte&#8220;&#8221; animation_type=&#8221;line-reveal-by-space&#8221; font_style=&#8221;h2&#8243; line_reveal_by_space_text_effect=&#8221;default&#8221; stagger_animation=&#8221;true&#8221; content_alignment=&#8221;default&#8221; mobile_content_alignment=&#8221;inherit&#8221; link_target=&#8221;_self&#8221; text_content=&#8221;Solutions &amp; methodologies&#8221;][\/split_line_heading][nectar_responsive_text 1=&#8221;font_size_max=&#8220;16px&#8220;&#8221;]To address these challenges, several actions were implemented:<\/p>\n<ul>\n<li><strong><span style=\"color: #d65ff2;\">Study and scoping: <\/span><\/strong>organization of workshops with the Gip Alfa teams to understand user needs and the requirements for a suitable data architecture, integrating specific data such as job offers and ROME\/RNCP files.<\/li>\n<li><strong><span style=\"color: #d65ff2;\">Infrastructure implementation:<\/span><\/strong>\n<ul>\n<li><strong><span style=\"color: #d65ff2;\">Data architecture:<\/span><\/strong> implementation of an infrastructure integrating \u00a0<a href=\"https:\/\/www.postgresql.org\/\"><span style=\"color: #d65ff2;\">PostgreSQL<\/span><\/a>, Mage AI for ETL pipelines, Superset for data visualization, <a style=\"color: #d65ff2;\" href=\"https:\/\/cube.dev\/\">Cube JS<\/a> for the semantic layer, and Gitlab for versioning the developed code.<\/li>\n<li><strong><span style=\"color: #d65ff2;\">Artificial intelligence models:<\/span> <\/strong>Enrichment of the data warehouse and development of \u201cdatamarts\u201d business layers accessible via API.<\/li>\n<li><strong><span style=\"color: #d65ff2;\">Use of NLP models<\/span><\/strong> to automatically classify job offers by profession in order to extract the required skills, and standardize the extracted skills by linking them to professional repositories, with LLMs to improve performance.<\/li>\n<\/ul>\n<\/li>\n<li><strong><span style=\"color: #d65ff2;\">Accessibility and sharing:<\/span><\/strong> making results available via a centralized API for smooth and secure use.<\/li>\n<li><strong><span style=\"color: #d65ff2;\">Training:<\/span> <\/strong>supporting Gip Alfa teams with dedicated training on the tools deployed, including <a href=\"https:\/\/gitlab.com\/\"><span style=\"color: #d65ff2;\">Gitlab<\/span>,<\/a>\u00a0<span style=\"color: #d65ff2;\"><a style=\"color: #d65ff2;\" href=\"https:\/\/www.mage.ai\/\">MageAI<\/a>\u00a0<\/span>and <span style=\"color: #d65ff2;\"><a style=\"color: #d65ff2;\" href=\"https:\/\/superset.apache.org\/\">Superset<\/a><\/span>, and providing comprehensive documentation for greater autonomy.<\/li>\n<\/ul>\n[\/nectar_responsive_text][\/vc_column_inner][\/vc_row_inner][\/nectar_sticky_media_section][nectar_sticky_media_section 1=&#8221;image=&#8220;858&#8220;&#8221; 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width=&#8221;1\/1&#8243; tablet_width_inherit=&#8221;default&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221;][split_line_heading 1=&#8221;font_style=&#8220;h2&#8220;&#8221; 2=&#8221;line_reveal_by_space_text_effect=&#8220;none&#8220;&#8221; 3=&#8221;stagger_animation=&#8220;true&#8220;&#8221; 4=&#8221;content_alignment=&#8220;default&#8220;&#8221; 5=&#8221;mobile_content_alignment=&#8220;inherit&#8220;&#8221; 6=&#8221;link_target=&#8220;_self&#8220;&#8221; 7=&#8221;text_content=&#8220;Contexte&#8220;&#8221; animation_type=&#8221;line-reveal-by-space&#8221; font_style=&#8221;h2&#8243; line_reveal_by_space_text_effect=&#8221;default&#8221; stagger_animation=&#8221;true&#8221; content_alignment=&#8221;default&#8221; mobile_content_alignment=&#8221;inherit&#8221; link_target=&#8221;_self&#8221; text_content=&#8221;Benefits&#8221;][\/split_line_heading][nectar_responsive_text 1=&#8221;font_size_max=&#8220;16px&#8220;&#8221;]Thanks to this transformation, the IBC platform has become a tool for analysis and decision-making in the areas of employment and training. Major advances include:<\/p>\n<ul>\n<li><strong><span style=\"color: #d65ff2;\">Quantitative results:<\/span> <\/strong>processing 150,000 job offers per year for nearly 500 different identified occupations. Occupations are correctly identified in 90% of cases.<\/li>\n<li><strong><span style=\"color: #d65ff2;\">A decision-making tool:<\/span> <\/strong>this platform, enhanced by Artificial Intelligence, offers in-depth analysis of job offers and skills, providing a better understanding of the labor market with precise indicators to decipher trends and anticipate changes in skills.<\/li>\n<li><strong><span style=\"color: #d65ff2;\">Stronger support for public policy:<\/span><\/strong> up-to-date and reliable data to support the decisions of employment and training stakeholders.<\/li>\n<\/ul>\n<p>This new platform marks a step forward for GIP Alfa, offering professionals simplified and enriched access to information, serving regions and skills.<\/p>\n<p>The collaboration between TRIMANE and GIP Alfa is being strengthened by the launch of a new project aimed at improving the platform&#8217;s performance. 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