{"id":78,"date":"2023-03-22T18:48:52","date_gmt":"2023-03-22T18:48:52","guid":{"rendered":"https:\/\/owlintel.ai\/?page_id=78"},"modified":"2023-09-13T16:08:40","modified_gmt":"2023-09-13T21:08:40","slug":"data-load-extract-transform","status":"publish","type":"page","link":"https:\/\/owlintel.ai\/platform\/data-load-extract-transform\/","title":{"rendered":"Data Load Extract Transform"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; custom_padding_last_edited=&#8221;on|tablet&#8221; admin_label=&#8221;Hero Section &#8211; gradient and image background&#8221; _builder_version=&#8221;4.19.4&#8243; background_enable_color=&#8221;off&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_direction=&#8221;90deg&#8221; background_color_gradient_stops=&#8221;gcid-f856e2f9-2ed1-4934-ba60-60e979614955 0%|rgba(41,196,169,0) 100%&#8221; background_color_gradient_overlays_image=&#8221;on&#8221; background_color_gradient_start=&#8221;#2a3443&#8243; background_color_gradient_end=&#8221;rgba(41,196,169,0)&#8221; 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ML<\/h1>\n<p>The OWL Intelligence Platform uses advanced AI and machine learning algorithms to automate data processing and extraction, providing features such as speech-to-text conversion, text translation, natural language processing, fraud and anomaly detection, document extraction, and facial and image recognition. 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This technique helps people quickly find information in vast data sets.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Data Point Prevalence&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xf4ff;||fa||900&#8243; admin_label=&#8221;blurb h3 title with icon left&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;c9cce90c-1dcc-496f-b4a0-6f0ac94e515c&#8221; custom_margin=&#8221;8.5%|-50%|||false|false&#8221; icon_font_size=&#8221;42px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>The Data Point Prevalence Algorithm helps users compare data point prevalence across views. This method finds patterns and relationships by examining data point frequency across multiple datasets. 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icon_color__hover_enabled=&#8221;on|hover&#8221; icon_color__hover=&#8221;#FFFFFF&#8221; header_text_color__hover_enabled=&#8221;on|hover&#8221; header_text_color__hover=&#8221;#FFFFFF&#8221;]<\/p>\n<p>Natural Language Processing<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;OWLspeech&#8221; admin_label=&#8221;OWLspeech blurb-item-2&#8243; module_id=&#8221;diviwp-11-blurb-item-2&#8243; module_class=&#8221;blurb-item-cursor&#8221; _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;604742d4-b3cc-49cc-8224-08189dfd17ca&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Speech-to-Text<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;OWLtranslate&#8221; admin_label=&#8221;OWLtranslate blurb-item-3&#8243; module_id=&#8221;diviwp-11-blurb-item-3&#8243; module_class=&#8221;blurb-item-cursor&#8221; _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;604742d4-b3cc-49cc-8224-08189dfd17ca&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Text Translation<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;OWLdetect&#8221; 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custom_css_blurb_content=&#8221;text-align:left;&#8221; border_width_left=&#8221;3px&#8221; border_color_left=&#8221;rgba(255,255,255,0)&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; header_text_color__hover=&#8221;#FFFFFF&#8221; header_text_color__hover_enabled=&#8221;on|hover&#8221; icon_color__hover=&#8221;#57C3F0&#8243; icon_color__hover_enabled=&#8221;on|desktop&#8221;]<\/p>\n<p>Document Extraction<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;OWLidentify&#8221; icon_placement=&#8221;left&#8221; icon_color_tablet=&#8221;&#8221; icon_color_phone=&#8221;&#8221; icon_color_last_edited=&#8221;on|desktop&#8221; admin_label=&#8221;OWLidentify blurb-item-6&#8243; module_id=&#8221;diviwp-11-blurb-item-6&#8243; module_class=&#8221;blurb-item-cursor&#8221; _builder_version=&#8221;4.19.4&#8243; header_level=&#8221;h3&#8243; header_font=&#8221;Oswald|500|||||||&#8221; header_text_color=&#8221;#54c5d2&#8243; header_font_size=&#8221;19px&#8221; header_line_height=&#8221;1.4em&#8221; body_font=&#8221;Nunito Sans||||||||&#8221; body_text_color=&#8221;#77838e&#8221; body_font_size=&#8221;15px&#8221; body_line_height=&#8221;21px&#8221; background_enable_color=&#8221;off&#8221; custom_margin=&#8221;||0px||false|false&#8221; custom_margin_tablet=&#8221;&#8221; custom_margin_phone=&#8221;&#8221; custom_margin_last_edited=&#8221;on|phone&#8221; custom_padding=&#8221;2%|6%|0%|6%|false|false&#8221; custom_padding_tablet=&#8221;2%|||4%|false|false&#8221; custom_padding_phone=&#8221;3%||0%||false|true&#8221; custom_padding_last_edited=&#8221;on|phone&#8221; animation=&#8221;off&#8221; custom_css_blurb_image=&#8221;\/* default value is 30px but by reducing this slightly to 20px we bring more balance to the overall blurb title text and body text *\/||margin-bottom:20px;&#8221; custom_css_blurb_content=&#8221;text-align:left;&#8221; border_width_left=&#8221;3px&#8221; border_color_left=&#8221;rgba(255,255,255,0)&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; 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_builder_version=&#8221;4.16&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<style><!-- [et_pb_line_break_holder] -->\/* CSS Code for .diviwp-interactive-section-11 *\/<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.et-db #et-boc .et-l .diviwp-interactive-section-11 .row-first {<!-- [et_pb_line_break_holder] -->\tdisplay: block;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\/* lower specificity to get first row to show on page load *\/<!-- [et_pb_line_break_holder] -->.diviwp-interactive-section-11 .row-hide {<!-- [et_pb_line_break_holder] -->\t display: none; <!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.et-db #et-boc .et-l .diviwp-interactive-section-11 .blurb-item-cursor {<!-- [et_pb_line_break_holder] -->\tcursor: pointer;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.et-db #et-boc .et-l .diviwp-interactive-section-11 .diviwp-interactive-blurb-container .et_pb_blurb:hover {<!-- [et_pb_line_break_holder] -->\t\/* border-left:3px solid #fff; *\/<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  .et-db #et-boc .et-l .diviwp-interactive-section-11 .diviwp-interactive-blurb-container .et_pb_blurb h3:hover,<!-- [et_pb_line_break_holder] -->  .et-db #et-boc .et-l .diviwp-interactive-section-11 .blurb-active h3 {<!-- [et_pb_line_break_holder] -->\t  color:#fff!important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.et-db #et-boc .et-l .diviwp-interactive-section-11 .blurb-active {<!-- [et_pb_line_break_holder] -->\tborder-left:3px solid #fff;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\/** MEDIA QUERIES **\/<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  \/* Tablets *\/<!-- [et_pb_line_break_holder] -->@media all and (max-width: 980px) {<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\t.et-db #et-boc .et-l .diviwp-interactive-section-11 .diviwp-interactive-blurb-container {<!-- [et_pb_line_break_holder] -->\t\tborder-radius: 4px 4px 0px 0px!important;<!-- [et_pb_line_break_holder] -->\t}<!-- [et_pb_line_break_holder] -->\t<!-- [et_pb_line_break_holder] -->\t\/* optional display text view image below when blurb is active in mobile *\/<!-- [et_pb_line_break_holder] -->\t.et-db #et-boc .et-l .diviwp-interactive-section-11 .blurb-active:after {<!-- [et_pb_line_break_holder] -->\t\t\/* content: \"view content below\";<!-- [et_pb_line_break_holder] -->\t\tfont-size: 11px;<!-- [et_pb_line_break_holder] -->\t\tfont-style: italic;<!-- [et_pb_line_break_holder] -->\t\tfloat: right;<!-- [et_pb_line_break_holder] -->\t\tcolor: #c0c6ca;<!-- [et_pb_line_break_holder] -->\t\t   margin-top:-35px; 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display text view image below when blurb is active in mobile *\/<!-- [et_pb_line_break_holder] -->\t.et-db #et-boc .et-l .diviwp-interactive-section-11 .blurb-active:after {<!-- [et_pb_line_break_holder] -->\t\t\/* content: \"view content below\";<!-- [et_pb_line_break_holder] -->\t\tfont-size: 10px;<!-- [et_pb_line_break_holder] -->\t\tfont-style: italic;<!-- [et_pb_line_break_holder] -->\t\tfloat: right;<!-- [et_pb_line_break_holder] -->\t\tcolor: #c0c6ca; *\/<!-- [et_pb_line_break_holder] -->\t}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><\/style>\n<p>[\/et_pb_code][\/et_pb_column][et_pb_column type=&#8221;2_3&#8243; specialty_columns=&#8221;2&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_row_inner admin_label=&#8221;Row with custom ID diviwp-11-blurb-1 and classes row-first row-hide&#8221; module_id=&#8221;diviwp-11-blurb-1&#8243; 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With Custom Entity Recognition, Custom Classification, Key Phrase Extraction, Sentiment Analysis, and Entity Recognition features, OWLdiscover makes it easy for users to understand their data and make informed decisions. Whether looking to improve customer experience, identify market trends, or detect fraud, OWLdiscover has the tools you need to succeed.<\/p>\n<p>[\/et_pb_text][et_pb_blurb title=&#8221;Discover Hidden Knowledge&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Discover Hidden Knowledge&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Utilize OWLdiscover&#8217;s Custom Entity Recognition, Key Phrase Extraction, and Sentiment Analysis to find pertinent patterns and insights in your text data.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Increase Effectiveness&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Increase Effectiveness&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>The automated data analysis method provided by OWLdiscover&#8217;s natural language processing (NLP) service saves time and resources.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Adaptable Classification&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Adaptable Classification&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Customize the Custom Classification tool to your requirements for more precise and pertinent insights.<\/p>\n<p>[\/et_pb_blurb][\/et_pb_column_inner][\/et_pb_row_inner][et_pb_row_inner admin_label=&#8221;OWLspeech blurb-item-2 and class row-hide&#8221; module_id=&#8221;diviwp-11-blurb-2&#8243; module_class=&#8221;row-hide&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#FFFFFF&#8221; custom_padding=&#8221;0px||||false|false&#8221; border_radii=&#8221;off||4px|4px|&#8221; border_radii_tablet=&#8221;off||0px|4px|4px&#8221; border_radii_phone=&#8221;&#8221; border_radii_last_edited=&#8221;on|tablet&#8221; box_shadow_style=&#8221;preset1&#8243; box_shadow_blur=&#8221;3px&#8221; box_shadow_color=&#8221;RGBA(100,116,139,0.29)&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column_inner saved_specialty_column_type=&#8221;2_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/owlintel.ai\/wp-content\/uploads\/2023\/05\/listing-2-640&#215;360-2.jpg&#8221; alt=&#8221;Course listing&#8221; show_bottom_space=&#8221;off&#8221; force_fullwidth=&#8221;on&#8221; disabled_on=&#8221;on|on|on&#8221; admin_label=&#8221;Image 640&#215;360&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_blurb title=&#8221;Automatic Speech Recognition for Efficient Transcription&#8221; image=&#8221;https:\/\/owlintel.ai\/wp-content\/uploads\/2023\/06\/OWLspeech-Speech-To-Text-1.svg&#8221; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;8em&#8221; admin_label=&#8221;Blurb &#8211; OWLspeech&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h2&#8243; header_font=&#8221;Oswald||||||||&#8221; header_text_color=&#8221;gcid-f856e2f9-2ed1-4934-ba60-60e979614955&#8243; header_font_size=&#8221;2.4em&#8221; body_font=&#8221;Lato||||||||&#8221; body_text_color=&#8221;gcid-2c5896f0-5811-4f28-a1c2-a31cdf4bbf0d&#8221; body_font_size=&#8221;1.1em&#8221; custom_margin=&#8221;|0px||0px|false|false&#8221; custom_padding=&#8221;5%|1%||1%|false|true&#8221; global_colors_info=&#8221;{%22gcid-2c5896f0-5811-4f28-a1c2-a31cdf4bbf0d%22:%91%22body_text_color%22%93,%22gcid-f856e2f9-2ed1-4934-ba60-60e979614955%22:%91%22header_text_color%22%93}&#8221;][\/et_pb_blurb][et_pb_text admin_label=&#8221;OWLspeech- Paragraph &#038; h3&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;fcb95ceb-7059-475e-9280-e199d8b12049&#8243; custom_padding=&#8221;|5%|2%|5%|false|true&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>OWLspeech is a state-of-the-art speech-to-text module that can accurately transcribe speech and determine the dominant language in an audio file. 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Our platform translates between languages and allows users to define custom terminology for unique industry-specific phrases and terms.[\/et_pb_text][et_pb_blurb title=&#8221;Customizable Terminology&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Customizable Terminology&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Users can define custom terminology to ensure accurate translation of unique terms, titles, or phrases specific to their industry or organization.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Fast Translation&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Fast Translation&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>OWLtranslate provides on-demand translation that is fast and efficient, saving users valuable time.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Easy Integration&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Easy Integration&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>OWLtranslate is easy to integrate into existing workflows, making it a convenient tool for organizations that need to translate text regularly.<\/p>\n<p>[\/et_pb_blurb][\/et_pb_column_inner][\/et_pb_row_inner][et_pb_row_inner admin_label=&#8221;OWLdetect blurb-item-4 and class row-hide&#8221; module_id=&#8221;diviwp-11-blurb-4&#8243; module_class=&#8221;row-hide&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#FFFFFF&#8221; custom_padding=&#8221;0px||||false|false&#8221; border_radii=&#8221;off||4px|4px|&#8221; border_radii_tablet=&#8221;off||0px|4px|4px&#8221; border_radii_phone=&#8221;&#8221; border_radii_last_edited=&#8221;on|tablet&#8221; box_shadow_style=&#8221;preset1&#8243; box_shadow_blur=&#8221;3px&#8221; box_shadow_color=&#8221;RGBA(100,116,139,0.29)&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column_inner saved_specialty_column_type=&#8221;2_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/owlintel.ai\/wp-content\/uploads\/2023\/05\/listing-2-640&#215;360-1.jpg&#8221; alt=&#8221;Course listing&#8221; show_bottom_space=&#8221;off&#8221; force_fullwidth=&#8221;on&#8221; disabled_on=&#8221;on|on|on&#8221; admin_label=&#8221;Image 640&#215;360&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; disabled=&#8221;on&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_blurb title=&#8221;Historical Data Analysis and Customized Anomoly Detection Model Building&#8221; image=&#8221;https:\/\/owlintel.ai\/wp-content\/uploads\/2023\/06\/OWLdetect-Fraud-Anomaly-Detection-1.svg&#8221; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;8em&#8221; admin_label=&#8221;Blurb &#8211; OWLdetect&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h2&#8243; header_font=&#8221;Oswald||||||||&#8221; header_text_color=&#8221;gcid-f856e2f9-2ed1-4934-ba60-60e979614955&#8243; header_font_size=&#8221;2.4em&#8221; body_font=&#8221;Lato||||||||&#8221; body_text_color=&#8221;gcid-2c5896f0-5811-4f28-a1c2-a31cdf4bbf0d&#8221; body_font_size=&#8221;1.1em&#8221; custom_margin=&#8221;|0px||0px|false|false&#8221; custom_padding=&#8221;5%|1%||1%|false|true&#8221; global_colors_info=&#8221;{%22gcid-2c5896f0-5811-4f28-a1c2-a31cdf4bbf0d%22:%91%22body_text_color%22%93,%22gcid-f856e2f9-2ed1-4934-ba60-60e979614955%22:%91%22header_text_color%22%93}&#8221;][\/et_pb_blurb][et_pb_text admin_label=&#8221;OWLdetect- Paragraph &#038; h3&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;fcb95ceb-7059-475e-9280-e199d8b12049&#8243; custom_padding=&#8221;|5%|2%|5%|false|true&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>With the help of the cutting-edge machine learning application OWLdetect, customers can create a unique fraud detection model using their historical data. OWLdetect&#8217;s predictions and bespoke rules let customers detect fraud immediately. Its accurate and reliable insights are essential for every firm striving to protect its assets and improve its decision-making.<\/p>\n<p>[\/et_pb_text][et_pb_blurb title=&#8221;Historical Data Analysis&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Historical Data Analysis&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>OWLdetect analyzes your historical data to construct an accurate fraud detection model, enabling users to detect fraud immediately.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Customized Model Building&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Customized Model Building&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Users can create a tailor-made fraud detection model by integrating custom rules to improve accuracy and relevance.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Improved Accuracy&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Improved Accuracy&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>OWLdetect utilizes powerful machine learning algorithms to continuously enhance the accuracy of its fraud detection model.<\/p>\n<p>[\/et_pb_blurb][\/et_pb_column_inner][\/et_pb_row_inner][et_pb_row_inner admin_label=&#8221;OWLxtract blurb-item-5 and class row-hide&#8221; module_id=&#8221;diviwp-11-blurb-5&#8243; module_class=&#8221;row-hide&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#FFFFFF&#8221; custom_padding=&#8221;0px||||false|false&#8221; border_radii=&#8221;off||4px|4px|&#8221; border_radii_tablet=&#8221;off||0px|4px|4px&#8221; border_radii_phone=&#8221;&#8221; border_radii_last_edited=&#8221;on|tablet&#8221; box_shadow_style=&#8221;preset1&#8243; box_shadow_blur=&#8221;3px&#8221; box_shadow_color=&#8221;RGBA(100,116,139,0.29)&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column_inner saved_specialty_column_type=&#8221;2_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/owlintel.ai\/wp-content\/uploads\/2023\/05\/listing-2-640&#215;360-2.jpg&#8221; alt=&#8221;Course listing&#8221; show_bottom_space=&#8221;off&#8221; force_fullwidth=&#8221;on&#8221; disabled_on=&#8221;on|on|on&#8221; admin_label=&#8221;Image 640&#215;360&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; disabled=&#8221;on&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_blurb title=&#8221;Effortlessly extract and analyze data from documents with OWLxtract\u2019s AI-powered tools.&#8221; image=&#8221;https:\/\/owlintel.ai\/wp-content\/uploads\/2023\/06\/OWLxtract-Document-Extraction-1.svg&#8221; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;8em&#8221; admin_label=&#8221;Blurb &#8211; OWLextract&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h2&#8243; header_font=&#8221;Oswald||||||||&#8221; header_text_color=&#8221;gcid-f856e2f9-2ed1-4934-ba60-60e979614955&#8243; header_font_size=&#8221;2.4em&#8221; body_font=&#8221;Lato||||||||&#8221; body_text_color=&#8221;gcid-2c5896f0-5811-4f28-a1c2-a31cdf4bbf0d&#8221; body_font_size=&#8221;1.1em&#8221; custom_margin=&#8221;|0px||0px|false|false&#8221; custom_padding=&#8221;5%|1%||1%|false|true&#8221; global_colors_info=&#8221;{%22gcid-2c5896f0-5811-4f28-a1c2-a31cdf4bbf0d%22:%91%22body_text_color%22%93,%22gcid-f856e2f9-2ed1-4934-ba60-60e979614955%22:%91%22header_text_color%22%93}&#8221;][\/et_pb_blurb][et_pb_text admin_label=&#8221;OWLxtract- Paragraph &#038; h3&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;fcb95ceb-7059-475e-9280-e199d8b12049&#8243; custom_padding=&#8221;|5%|2%|5%|false|true&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>OWLxtract is a powerful tool that leverages advanced OCR and ML algorithms to extract and identify data from various documents, including forms, tables, and IDs. With its powerful data extraction and identification capabilities, OWLxtract can streamline document processing and improve data accuracy, enabling users to make faster and more informed decisions.<\/p>\n<p>[\/et_pb_text][et_pb_blurb title=&#8221;Efficient Document Processing&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Efficient Document Processing&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>OWLxtract allows users to extract text and handwriting from documents quickly and accurately, eliminating the need for manual data entry and improving document processing efficiency.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Accurate Data Extraction&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Accurate Data Extraction&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>With its advanced OCR and ML algorithms, OWLxtract can extract structured and unstructured data from documents, including key-value pairs, tables, and identity documents, with high accuracy.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Accurate Data Extraction&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Automated Data Linking&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>OWLxtract&#8217;s extracted data can be linked to other data attributes or metadata, allowing users to search, compare, and match the data to gain insights and make informed decisions.<\/p>\n<p>[\/et_pb_blurb][\/et_pb_column_inner][\/et_pb_row_inner][et_pb_row_inner admin_label=&#8221;OWLidentify blurb-item-6 and class row-hide&#8221; module_id=&#8221;diviwp-11-blurb-6&#8243; module_class=&#8221;row-hide&#8221; _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#FFFFFF&#8221; custom_padding=&#8221;0px||||false|false&#8221; border_radii=&#8221;off||4px|4px|&#8221; border_radii_tablet=&#8221;off||0px|4px|4px&#8221; border_radii_phone=&#8221;&#8221; border_radii_last_edited=&#8221;on|tablet&#8221; box_shadow_style=&#8221;preset1&#8243; box_shadow_blur=&#8221;3px&#8221; box_shadow_color=&#8221;RGBA(100,116,139,0.29)&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column_inner saved_specialty_column_type=&#8221;2_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/owlintel.ai\/wp-content\/uploads\/2023\/05\/listing-2-640&#215;360-2.jpg&#8221; alt=&#8221;Course listing&#8221; show_bottom_space=&#8221;off&#8221; force_fullwidth=&#8221;on&#8221; disabled_on=&#8221;on|on|on&#8221; admin_label=&#8221;Image 640&#215;360&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; disabled=&#8221;on&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_blurb title=&#8221;Effortlessly Build a Searchable Image Database with OWLidentify\u2019s Image Recognition and Label Detection Features&#8221; image=&#8221;https:\/\/owlintel.ai\/wp-content\/uploads\/2023\/06\/OWLidentify-Facial-and-Image-Recognition-1.svg&#8221; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;8em&#8221; admin_label=&#8221;Blurb &#8211; OWLextract&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h2&#8243; header_font=&#8221;Oswald||||||||&#8221; header_text_color=&#8221;gcid-f856e2f9-2ed1-4934-ba60-60e979614955&#8243; header_font_size=&#8221;2.4em&#8221; body_font=&#8221;Lato||||||||&#8221; body_text_color=&#8221;gcid-2c5896f0-5811-4f28-a1c2-a31cdf4bbf0d&#8221; body_font_size=&#8221;1.1em&#8221; custom_margin=&#8221;|0px||0px|false|false&#8221; custom_padding=&#8221;5%|1%||1%|false|true&#8221; global_colors_info=&#8221;{%22gcid-2c5896f0-5811-4f28-a1c2-a31cdf4bbf0d%22:%91%22body_text_color%22%93,%22gcid-f856e2f9-2ed1-4934-ba60-60e979614955%22:%91%22header_text_color%22%93}&#8221;][\/et_pb_blurb][et_pb_text admin_label=&#8221;OWLidentify- Paragraph &#038; h3&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;fcb95ceb-7059-475e-9280-e199d8b12049&#8243; custom_padding=&#8221;|5%|2%|5%|false|true&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>OWLidentify uses machine learning techniques to analyze millions of photos and videos saved or streamed in seconds. 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Label detection and image\/video characteristics can also provide metadata for image libraries for search, filtering, and image quality.<\/p>\n<p>[\/et_pb_text][et_pb_blurb title=&#8221;Fast and Accurate Image Recognition&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Fast and Accurate Image Recognition&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>OWLidentify leverages advanced machine learning algorithms to recognize and analyze millions of images or videos in real-time, providing users with accurate and fast image recognition capabilities.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Precise Facial Analysis and Search&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Precise Facial Analysis and Search&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>With its highly accurate facial analysis and search capabilities, OWLidentify enables users to fully recognize, analyze, and compare faces, making it an ideal platform for facial recognition and biometric applications.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Automated Metadata Creation&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#x5a;||divi||400&#8243; admin_label=&#8221;Automated Metadata Creation&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;6ef52db2-f1bd-4fc2-96de-4d85d8524664&#8243; icon_font_size=&#8221;22px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>With its advanced image and video analysis capabilities, OWLidentify can determine the quality of images and videos, providing users with insights into image and video quality, such as resolution, sharpness, and color accuracy.<\/p>\n<p>[\/et_pb_blurb][\/et_pb_column_inner][\/et_pb_row_inner][\/et_pb_column][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Security-Compliance Section&#8221; _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#f6f9fc&#8221; global_module=&#8221;26518&#8243; saved_tabs=&#8221;all&#8221; locked=&#8221;off&#8221; collapsed=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row custom_padding_last_edited=&#8221;on|tablet&#8221; _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; custom_padding=&#8221;||||false|false&#8221; custom_padding_tablet=&#8221;0px||0px||true|false&#8221; custom_padding_phone=&#8221;&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text admin_label=&#8221;Top Security Standards (text box)&#8221; _builder_version=&#8221;4.21.0&#8243; 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Browse our informative articles on how OWL transforms HIDTA, Fusion Centers, Real-Time Crime Centers, and more. Explore OWL&#8217;s many uses and see how this cutting-edge technology improves law enforcement across many circumstances.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; make_equal=&#8221;on&#8221; custom_padding_last_edited=&#8221;on|phone&#8221; _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#FFFFFF&#8221; background_color_gradient_direction=&#8221;105deg&#8221; custom_padding=&#8221;|60px|0px|60px|false|true&#8221; custom_padding_tablet=&#8221;|30px||30px|false|true&#8221; custom_padding_phone=&#8221;|20px||20px|false|true&#8221; border_width_right=&#8221;1px&#8221; border_color_right=&#8221;gcid-c98db8e2-c311-435a-91f2-83b971d44861&#8243; border_width_left=&#8221;1px&#8221; border_color_left=&#8221;gcid-c98db8e2-c311-435a-91f2-83b971d44861&#8243; global_colors_info=&#8221;{%22gcid-c98db8e2-c311-435a-91f2-83b971d44861%22:%91%22border_color_right%22,%22border_color_left%22%93}&#8221;][et_pb_column type=&#8221;1_3&#8243; 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_module_preset=&#8221;03ed4834-a81a-41ec-bfd6-98a6a9949751&#8243; header_font=&#8221;||||||||&#8221; header_3_font=&#8221;Barlow Condensed|500|||||||&#8221; header_3_text_color=&#8221;#FFFFFF&#8221; header_3_font_size=&#8221;40px&#8221; header_3_line_height=&#8221;1.1em&#8221; custom_margin=&#8221;||10px||false|false&#8221; header_3_font_size_tablet=&#8221;22px&#8221; header_3_font_size_phone=&#8221;17px&#8221; header_3_font_size_last_edited=&#8221;on|phone&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3 style=\"text-align: center;\">Supercharge your digital assets, harness the power of advanced AI technology, and gain a competitive edge with OWL Intelligence Platform.<\/h3>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;5ff55506-da7d-4dd7-b409-9d62c7203201&#8243; text_font=&#8221;Lato|700|||||||&#8221; text_text_color=&#8221;rgba(255,255,255,0.72)&#8221; text_font_size=&#8221;16px&#8221; text_line_height=&#8221;1.8em&#8221; 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