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Grâce à l’appui de l’équipe data science d’Altares, la plateforme credit.fr, de crowdlending, a extrapolé la mesure du risque des 40 000 demandes reçues depuis son lancement en 2014 vers son marché potentiel. Le magazine mind Fintech revient sur la méthode retenue et les moyens mis en oeuvre pour augmenter le taux d’agrément automatique.
[/fusion_text][fusion_button link=”https://www.altares.com/download/21920/” title=”” target=”_self” link_attributes=”” alignment=”center” modal=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” color=”custom” button_gradient_top_color=”#25cad3″ button_gradient_bottom_color=”#25cad3″ button_gradient_top_color_hover=”#ffffff” button_gradient_bottom_color_hover=”#ffffff” accent_color=”#ffffff” accent_hover_color=”#25cad3″ type=”” bevel_color=”” border_width=”” size=”large” stretch=”default” shape=”” icon=”” icon_position=”left” icon_divider=”no” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=””]Télécharger l’article[/fusion_button][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container]