{"id":2936,"date":"2024-06-12T15:07:17","date_gmt":"2024-06-12T15:07:17","guid":{"rendered":"https:\/\/justadd.ai\/?page_id=2936"},"modified":"2024-06-18T07:11:11","modified_gmt":"2024-06-18T07:11:11","slug":"data-analysis","status":"publish","type":"page","link":"https:\/\/justadd.ai\/en\/data-analysis\/","title":{"rendered":"Data Analysis"},"content":{"rendered":"[vc_row type=”full_width_background” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bg_color=”#0a0a0a” full_height=”yes” columns_placement=”top” mouse_based_parallax_bg=”true” scene_position=”center” mouse_sensitivity=”5″ layer_one_image=”1996″ top_padding=”50″ bottom_padding=”75″ text_color=”light” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” color_overlay=”#000000″ overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column top_padding_desktop=”30″ bottom_padding_desktop=”20″ column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” font_color=”#ffffff” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”advanced” gradient_type=”default”][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” top_padding=”17vh” bottom_padding=”0″ top_padding_phone=”5vh” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”left” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”hidden” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text]\n

Data Analysis<\/h1>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bottom_padding=”25″ text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all” class=”intro_text”][vc_column_inner column_padding=”padding-4-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”right” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”7\/12″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][nectar_responsive_text font_size_desktop=”1.2em”]With our data analysis tools, you can identify patterns and trends in your data using algorithms and machine learning. We support both structured and unstructured data to provide you with customized insights. Use our solutions to analyze historical data and predict future developments so you can optimize your decisions and strategies.[\/nectar_responsive_text][\/vc_column_inner][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”5\/12″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][\/vc_column_inner][\/vc_row_inner][page_submenu alignment=”left” sticky=”true” bg_color=”” 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Predictive Maintenance in Road Traffic<\/h3>\n

Our driver assistance system not only increases road safety but is also equipped with various sensors that detect any wear and bumps while driving. It identifies the smallest changes in the sensor data at an early stage so that emerging problems can be rectified in good time. This not only prevents accidents, but also reduces vehicle wear and tear in the long term.[\/vc_column_text][nectar_cta btn_style=”see-through” heading_tag=”p” button_color=”default” text_color=”#ffffff” text_color_hover=”#ffffff” button_border_thickness=”0px” link_type=”new_tab” alignment=”right” alignment_tablet=”default” alignment_phone=”default” display=”block” display_tablet=”inherit” display_phone=”inherit” position_desktop=”absolute” position_tablet=”absolute” position_phone=”absolute” bottom_position_desktop=”21″ left_position_desktop=”20″ bottom_position_tablet=”60″ left_position_tablet=”20″ bottom_position_phone=”60″ left_position_phone=”20″ url=”https:\/\/bremen-robotics.com\/en\/” link_text=”bremen robotics” zindex=”8″ class=”teaserkacheln_wrap_cta”][\/vc_column_inner][vc_column_inner bottom_padding_desktop=”20″ left_padding_desktop=”20″ right_padding_desktop=”50px” top_padding_tablet=”50px” bottom_padding_tablet=”50px” left_padding_tablet=”0″ right_padding_tablet=”0″ top_margin=”40″ left_margin=”-20px” top_margin_tablet=”0″ right_margin_tablet=”4vw” top_margin_phone=”0″ column_element_direction_desktop=”default” column_element_spacing=”50px” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” el_class=”teaserkachel” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in-from-right” animation_easing=”default” bg_image_animation=”none” border_type=”advanced” column_border_color=”#ffffff” column_border_style=”solid” column_padding_type=”advanced” gradient_type=”default”][vc_column_text css=”.vc_custom_1718626157187{margin-top: -8px !important;padding-bottom: 60px !important;padding-left: 20px !important;}”]\n

Analysis of Telephone Calls<\/h3>\n

We developed an AI system for a mobile service provider that analyzes customer service calls to clarify content and topics, segment calls and detect escalations as well as fraud attempts. In addition, we extended this solution with a topic analysis for a sales team to identify their main concerns and explore automation opportunities.[\/vc_column_text][nectar_cta btn_style=”see-through” heading_tag=”p” button_color=”default” text_color=”#ffffff” text_color_hover=”#ffffff” button_border_thickness=”0px” link_type=”new_tab” alignment=”right” alignment_tablet=”default” alignment_phone=”default” display=”block” display_tablet=”inherit” display_phone=”inherit” position_desktop=”absolute” position_tablet=”absolute” position_phone=”absolute” bottom_position_desktop=”90″ left_position_desktop=”40″ bottom_position_tablet=”120″ left_position_tablet=”20″ bottom_position_phone=”120″ left_position_phone=”20″ url=”https:\/\/botario.com\/en\/” link_text=”botario” zindex=”8″ class=”teaserkacheln_wrap_cta”][\/vc_column_inner][\/vc_row_inner][vc_row_inner content_placement=”top” column_margin=”none” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” top_padding=”0″ top_padding_tablet=”0″ top_padding_phone=”0″ text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all” class=”teaserkacheln_wrap”][vc_column_inner bottom_padding_desktop=”0″ left_padding_desktop=”0″ right_padding_desktop=”70″ bottom_padding_tablet=”40″ right_padding_tablet=”0″ top_padding_phone=”0″ right_padding_phone=”0″ top_margin=”40″ top_margin_tablet=”0″ left_margin_tablet=”-20px” top_margin_phone=”0″ column_element_direction_desktop=”default” column_element_spacing=”0px” desktop_text_alignment=”left” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” el_class=”teaserkachel” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in-from-left” animation_easing=”default” bg_image_animation=”none” border_type=”advanced” column_border_color=”#ffffff” column_border_style=”solid” column_padding_type=”advanced” gradient_type=”default”][vc_column_text css=”.vc_custom_1718626205640{margin-top: -8px !important;padding-bottom: 60px !important;padding-left: 20px !important;}”]\n

MLOps Platform for Sensor Data from the International Space Station<\/h3>\n

In the (K)ISS project, we have developed an MLOps platform to work with sensor data from the International Space Station (ISS). With our flexible solution large amounts of data can be processed and algorithms for detecting anomalies, analyzing causes and suggesting reconfigurations can be developed.[\/vc_column_text][nectar_cta btn_style=”see-through” heading_tag=”p” button_color=”default” text_color=”#ffffff” text_color_hover=”#ffffff” button_border_thickness=”0px” link_type=”new_tab” alignment=”right” alignment_tablet=”default” alignment_phone=”default” display=”block” display_tablet=”inherit” display_phone=”inherit” position_desktop=”absolute” position_tablet=”absolute” position_phone=”absolute” bottom_position_desktop=”20″ left_position_desktop=”20″ bottom_position_tablet=”60″ left_position_tablet=”20″ bottom_position_phone=”60″ left_position_phone=”20″ url=”https:\/\/www.prokube.ai\/” link_text=”prokube.ai” zindex=”8″ class=”teaserkacheln_wrap_cta”][\/vc_column_inner][vc_column_inner bottom_padding_desktop=”20″ left_padding_desktop=”20″ right_padding_desktop=”50px” top_padding_tablet=”50px” bottom_padding_tablet=”50px” left_padding_tablet=”0″ right_padding_tablet=”0″ top_margin=”40″ left_margin=”-20px” top_margin_tablet=”0″ right_margin_tablet=”4vw” top_margin_phone=”0″ column_element_direction_desktop=”default” column_element_spacing=”50px” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” el_class=”teaserkachel” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in-from-right” animation_easing=”default” bg_image_animation=”none” border_type=”advanced” column_border_color=”#ffffff” column_border_style=”solid” column_padding_type=”advanced” gradient_type=”default”][vc_column_text css=”.vc_custom_1718626275840{margin-top: -8px !important;padding-bottom: 20px !important;padding-left: 20px !important;}”]\n

Auditing in the Healthcare Sector<\/h3>\n

Accounting within the German healthcare system is governed by complex guidelines, making the issuance of incorrect invoices a common occurrence in the hectic daily routine. Due to the high financial risk associated with improper invoicing, dedicated personnel are often assigned to verify invoices in hospitals, health insurance companies, and associations of statutory health insurance physicians. Our AI alleviates this burden by learning from past corrections, identifying anomalies, and alerting human auditors to potential errors. 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