[vc_row bg_type=”bg_color” bg_override=”ex-full” bg_color_value=”#f3f3f3″][vc_column offset=”vc_col-lg-offset-0 vc_col-md-offset-0 vc_hidden-sm vc_hidden-xs”][ultimate_heading main_heading=”ENGINES” heading_tag=”h1″ main_heading_color=”#565759″ main_heading_style=”font-weight:bold;” main_heading_margin=”margin-bottom:140px;” main_heading_font_size=”desktop:38px;” main_heading_line_height=”desktop:44px;”][/ultimate_heading][vc_row_inner css=”.vc_custom_1571819774372{margin-top: 90px !important;margin-bottom: 100px !important;}”][vc_column_inner css=”.vc_custom_1571819345049{margin-top: 40px !important;margin-bottom: 40px !important;}”][ultimate_img_separator animation=”No Animation” animation_duration=”3″ animation_delay=”0″ animation_iteration_count=”1″ img_separator_position=”ult-bottom-easy-separator” img_separator=”id^1854|url^https://optiwisdom.com/wp-content/uploads/2019/10/Comp-1_6.gif|caption^null|alt^null|title^Comp 1_6|description^null” img_separator_width=”desktop:500px;”][/vc_column_inner][/vc_row_inner][vc_row_inner equal_height=”yes” content_placement=”middle”][vc_column_inner width=”1/2″ offset=”vc_col-lg-offset-1 vc_col-lg-6 vc_col-md-offset-1 vc_col-md-6 vc_col-sm-offset-0 vc_col-xs-12″ css=”.vc_custom_1550511354939{margin-bottom: 20px !important;border-left-width: 3px !important;padding-left: 40px !important;border-left-color: rgba(255,255,255,0.3) !important;border-left-style: dashed !important;}”][ultimate_heading main_heading=”OptiScorer” main_heading_color=”#565759″ sub_heading_color=”#949699″ alignment=”left” main_heading_style=”font-weight:bold;” main_heading_margin=”margin-bottom:15px;” sub_heading_margin=”margin-bottom:20px;” sub_heading_line_height=”desktop:27px;” el_class=”full-text”]
OptiScorer, one of the three main engines under the roof of OptiWisdom, is capable of scoring in many areas based on the explainable artificial intelligence. Currently, we are using various state-of-the-art algorithms, such as XGBoost or Light GBM, which are tuned to our mechanism, and we are constantly improving our system by adding new ones. In this direction, our main goal is to in-tegrate our scoring engine into any system required with Web API.
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OptiSegment, like the OptiScorer, is another of the three main engines under the roof of OptiWisdom which is allowing identification, categorization, and labeling of the scored data. This means that even complex inputs can be understood with segmented and labeled data. In particular, product and customer segmentation can be used effectively to identify risk groups.
[/ultimate_heading][/vc_column_inner][/vc_row_inner][vc_row_inner equal_height=”yes” content_placement=”middle”][vc_column_inner width=”1/2″ offset=”vc_col-lg-offset-1 vc_col-lg-6 vc_col-md-offset-1 vc_col-md-6 vc_col-xs-12″ css=”.vc_custom_1550511549280{margin-bottom: 20px !important;border-left-width: 3px !important;padding-left: 40px !important;border-left-color: rgba(255,255,255,0.3) !important;border-left-style: dashed !important;}”][ultimate_heading main_heading=”OptiMatcher” main_heading_color=”#565759″ sub_heading_color=”#949699″ alignment=”left” main_heading_style=”font-weight:bold;” main_heading_margin=”margin-bottom:15px;” sub_heading_margin=”margin-bottom:20px;” sub_heading_line_height=”desktop:27px;” el_class=”full-text”]
Another of the three main engines is the matching tool which named OptiMatcher. OptiMatcher is used to match customers with ads, customers with products, and employees with tasks. Besides, it can create links between the products, people and many other situations. OptiMatcher stands a patented method that uses three main approaches to mining algorithms: proposal, matching and coupling rules.
[/ultimate_heading][/vc_column_inner][vc_column_inner width=”1/2″ offset=”vc_col-lg-offset-0 vc_col-lg-4 vc_col-md-offset-0 vc_col-md-4 vc_hidden-xs” css=”.vc_custom_1550511681130{padding-left: 40px !important;}”]
OptiScorer, one of the three main engines under the roof of OptiWisdom, is capable of scoring in many areas based on the explainable artificial intelligence. Currently, we are using various state-of-the-art algorithms, such as XGBoost or Light GBM, which are tuned to our mechanism, and we are constantly improving our system by adding new ones. In this direction, our main goal is to in-tegrate our scoring engine into any system required with Web API.
[/ultimate_heading][/vc_column_inner][vc_column_inner width=”1/2″ offset=”vc_col-lg-offset-0 vc_col-lg-4 vc_col-md-offset-0 vc_col-md-4 vc_col-sm-offset-0 vc_hidden-xs” css=”.vc_custom_1550511674362{padding-left: 40px !important;}”]
OptiSegment, like the OptiScorer, is another of the three main engines under the roof of OptiWisdom which is allowing identification, categorization, and labeling of the scored data. This means that even complex inputs can be understood with segmented and labeled data. In particular, product and customer segmentation can be used effectively to identify risk groups.
[/ultimate_heading][/vc_column_inner][/vc_row_inner][vc_row_inner equal_height=”yes” content_placement=”middle”][vc_column_inner width=”1/2″ offset=”vc_col-lg-offset-1 vc_col-lg-6 vc_col-md-offset-1 vc_col-md-6 vc_col-xs-12″ css=”.vc_custom_1550511549280{margin-bottom: 20px !important;border-left-width: 3px !important;padding-left: 40px !important;border-left-color: rgba(255,255,255,0.3) !important;border-left-style: dashed !important;}”][ultimate_heading main_heading=”OptiMatcher” main_heading_color=”#565759″ sub_heading_color=”#949699″ alignment=”left” main_heading_style=”font-weight:bold;” main_heading_margin=”margin-bottom:15px;” sub_heading_margin=”margin-bottom:20px;” sub_heading_line_height=”desktop:27px;” el_class=”full-text” margin_design_tab_text=””]
Another of the three main engines is the matching tool which named OptiMatcher. OptiMatcher is used to match customers with ads, customers with products, and employees with tasks. Besides, it can create links between the products, people and many other situations. OptiMatcher stands a patented method that uses three main approaches to mining algorithms: proposal, matching and coupling rules.
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