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Enterprise Data Historian - EOT

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.elementor-divider-separator,.elementor-widget-divider--separator-type-pattern:not(.elementor-widget-divider--view-line) .elementor-divider-separator:after,.elementor-widget-divider--separator-type-pattern:not(.elementor-widget-divider--view-line) .elementor-divider-separator:before,.elementor-widget-divider--separator-type-pattern:not([class*=elementor-widget-divider--view]) .elementor-divider-separator{width:100%;min-height:var(--divider-pattern-height);-webkit-mask-size:var(--divider-pattern-size) 100%;mask-size:var(--divider-pattern-size) 100%;-webkit-mask-repeat:var(--divider-pattern-repeat);mask-repeat:var(--divider-pattern-repeat);background-color:var(--divider-color);-webkit-mask-image:var(--divider-pattern-url);mask-image:var(--divider-pattern-url)}.elementor-widget-divider--no-spacing{--divider-pattern-size:auto}.elementor-widget-divider--bg-round{--divider-pattern-repeat:round}.rtl .elementor-widget-divider .elementor-divider__text{direction:rtl}.e-con-inner>.elementor-widget-divider,.e-con>.elementor-widget-divider{width:var(--container-widget-width,100%);--flex-grow:var(--container-widget-flex-grow)}</style> <div class="elementor-divider"> <span class="elementor-divider-separator"> </span> </div> </div> </div> <section class="elementor-section elementor-inner-section elementor-element elementor-element-d4665a2 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="d4665a2" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-11a59cb" data-id="11a59cb" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-4585945 elementor-widget elementor-widget-text-editor" data-id="4585945" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <style>/*! elementor - v3.19.0 - 07-02-2024 */ .elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}</style> <p>An Enterprise Data Historian is a centralized data management system that stores and organizes historical data from various industrial sources, enabling you to analyze, monitor, and optimize your operations. By using an Industrial Data Fabric (IDF) solution and its components &#8211; Twin Talk, Twin Sight, and Twin Central &#8211; you can design and create an efficient Enterprise Data Historian tailored to your organization&#8217;s specific needs.</p><p>Twin Talk serves as the foundation for building your Enterprise Data Historian, providing secure and scalable data ingestion from SCADA systems and other data sources to the cloud. This ensures seamless data flow and integration, allowing your Data Historian to serve as a centralized repository for all your operational data.</p><p>With Twin Sight, you gain access to an intuitive visualization tool and dashboard builder that makes it easy to analyze and gain insights from your historical data stored in the Enterprise Data Historian. Real-time data access empowers you to make informed, timely decisions, and optimize your operations based on the historical trends and patterns revealed in your data.</p><p>Twin Central is the third IDF component that creates a comprehensive semantic data model for managing all your metadata in the Enterprise Data Historian. By linking, mapping, and managing metadata from various sources, Twin Central generates a single source of truth that unifies your organization&#8217;s data. This simplification of data management ensures efficient data access and streamlines analytics processes for your Data Historian.</p><p>By leveraging the power of the IDF components, you can design an Enterprise Data Historian that serves as a valuable tool for monitoring, analyzing, and optimizing your assets and processes based on historical data. An Enterprise Data Historian not only simplifies data management but also enables you to uncover new opportunities for improvement through advanced analytics, machine learning, and real-time data access. Embrace the potential of an Enterprise Data Historian created with IDF components to transform your operations and maintain a competitive edge in the ever-evolving industrial landscape.</p> </div> </div> </div> </div> </div> </section> <div class="elementor-element elementor-element-065fbb1 elementor-widget elementor-widget-heading" data-id="065fbb1" data-element_type="widget" id="my-architecture" data-widget_type="heading.default"> <div class="elementor-widget-container"> <h2 class="elementor-heading-title elementor-size-default">Architecture for a Cloud Historian with Twin Fusion</h2> </div> </div> <div class="elementor-element elementor-element-6423245 elementor-widget-divider--view-line elementor-widget elementor-widget-divider" data-id="6423245" data-element_type="widget" data-widget_type="divider.default"> <div class="elementor-widget-container"> <div class="elementor-divider"> <span class="elementor-divider-separator"> </span> </div> </div> </div> <div class="elementor-element elementor-element-c9429b4 elementor-widget__width-initial elementor-widget elementor-widget-image" data-id="c9429b4" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <figure class="wp-caption"> <a href="https://eot.ai/wp-content/uploads/2023/09/historian.jpg" data-elementor-open-lightbox="yes" data-e-action-hash="#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NDgzMSwidXJsIjoiaHR0cHM6XC9cL2VvdC5haVwvd3AtY29udGVudFwvdXBsb2Fkc1wvMjAyM1wvMDlcL2hpc3Rvcmlhbi5qcGcifQ%3D%3D"> <img decoding="async" width="525" height="295" src="https://eot.ai/wp-content/uploads/2023/09/historian-1024x575.jpg" class="attachment-large size-large wp-image-4831" alt="" srcset="https://eot.ai/wp-content/uploads/2023/09/historian-1024x575.jpg 1024w, https://eot.ai/wp-content/uploads/2023/09/historian-300x168.jpg 300w, https://eot.ai/wp-content/uploads/2023/09/historian-768x431.jpg 768w, https://eot.ai/wp-content/uploads/2023/09/historian-1536x863.jpg 1536w, https://eot.ai/wp-content/uploads/2023/09/historian.jpg 1923w" sizes="(max-width: 525px) 100vw, 525px" /> </a> <figcaption class="widget-image-caption wp-caption-text">Cloud Historian</figcaption> </figure> </div> </div> </div> </div> </div> </section> <section class="elementor-section elementor-top-section elementor-element elementor-element-aa06ec6 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="aa06ec6" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3d21795" data-id="3d21795" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <section class="elementor-section elementor-inner-section elementor-element elementor-element-564f193 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="564f193" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-b854883" data-id="b854883" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-477e8fb elementor-widget elementor-widget-text-editor" data-id="477e8fb" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>Designing and implementing an Enterprise Cloud Historian architecture with EOT products is effortless, providing a simple, stable, and fast solution. There&#8217;s no need for coding or &#8220;Lift and Shift&#8221; components like AWS Lambda, AWS Glue, or AWS Kinesis. EOT offers a clean, elegant, and highly performant architecture that stands out in the industry, allowing you to focus on leveraging data for your business growth.</p><ol><li>Start by identifying specific use cases that provide real business value. Utilize Twin Central to create Assets and Data Models, which serve as the Single Source of Truth. This allows you to navigate through industrial assets within the Enterprise Cloud Historian, dashboards, and visualization apps.</li><li>Based on these valuable use cases, use Twin Talk to configure Data Ingestion, Curation, and Contextualization. This enables the transportation and transformation of raw data from Data Sources into the data storage.</li><li>With the selected use cases in mind, train and deploy Analytics and ML models to provide insights for the Enterprise Cloud Historian, dashboards, and visualization apps.</li><li>Finally, use the Enterprise Cloud Historian, dashboards, and visualization apps to display operational, financial, and technical data, as well as insights from analytics and ML systems. This is all based on the specified use cases that drive real business value.</li></ol><p>By following these four steps, you can effectively harness the power of an Enterprise Cloud Historian to drive meaningful insights and informed decision-making for your organization.</p> </div> </div> </div> </div> <div class="elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-b8ded44" data-id="b8ded44" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-e818730 elementor-widget elementor-widget-text-editor" data-id="e818730" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <h4 class="x-el x-el-h4 c1-1 c1-2 c1-1q c1-1e c1-83 c1-18 c1-16 c1-15 c1-17 c1-b c1-30 c1-5k c1-45 c1-5m c1-5o c1-5p c1-5q" role="heading" aria-level="4" data-ux="ContentCardHeading" data-aid="CONTENT_MEDIA_HEADLINE2_RENDERED" data-typography="HeadingDelta">How to Get Started</h4><div class="x-el c1-1 c1-2 c1-1q c1-1e c1-4q c1-15 c1-17 c1-71 c1-72 c1-73 c1-74 c1-75 c1-76 c1-77 c1-78 c1-79 c1-7a c1-7b c1-7c c1-7d c1-7e c1-7f c1-7g c1-7h c1-7i c1-7j c1-7k c1-7l c1-7m c1-7n c1-7o c1-7p c1-7q c1-7r c1-7s c1-4 c1-84 c1-b c1-3r c1-c c1-45 c1-d c1-e c1-f c1-g x-rt" data-ux="ContentCardText" data-aid="CONTENT_MEDIA_DESCRIPTION2_RENDERED" data-typography="BodyAlpha"><p>The majority of digital transformation efforts fail due to one critical mistake: designing a logical architecture without a specific use case in mind. There are two common, but flawed approaches:</p><ol><li>Attempting to create an architecture that addresses all possible use cases for a company. This is often driven by business consulting firms that spend an excessive amount of time compiling use case lists involving the entire organization.</li><li>Having no use case at all and adopting the mindset of gathering all data first, then discussing potential applications with users.</li></ol><p>Both approaches almost certainly lead to costly projects that provide no value or support within the company and may even negatively impact the careers of project leaders. So, how should you get started? Select a use case that has two key attributes: 1) it&#8217;s quick to implement, providing a fast time-to-value, and 2) it delivers genuine business value for the company.</p></div> </div> </div> </div> </div> </div> </section> <div class="elementor-element elementor-element-fdb8b15 elementor-widget elementor-widget-Button" data-id="fdb8b15" data-element_type="widget" data-widget_type="Button.default"> <div class="elementor-widget-container"> <div class="qwords-btn-container"> <div class="qwords-button-block"> <a class="qwords-button qwords-button-flat" href="https://eot.ai/twin-fusion/"> <span class="text">More about Twin Fusion</span> <i class="ion-plus"></i> </a> </div> </div> </div> </div> </div> </div> </div> </section> <section class="elementor-section elementor-top-section elementor-element elementor-element-dceb52b elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="dceb52b" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f07202b" data-id="f07202b" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-c421d0d elementor-widget elementor-widget-heading" data-id="c421d0d" data-element_type="widget" data-widget_type="heading.default"> <div class="elementor-widget-container"> <h2 class="elementor-heading-title elementor-size-default">Enterprise Data Historian Features and Benefits</h2> </div> </div> <div class="elementor-element elementor-element-0d5ac16 elementor-widget-divider--view-line elementor-widget elementor-widget-divider" data-id="0d5ac16" data-element_type="widget" data-widget_type="divider.default"> <div class="elementor-widget-container"> <div class="elementor-divider"> <span class="elementor-divider-separator"> </span> </div> </div> </div> <section class="elementor-section elementor-inner-section elementor-element elementor-element-bfa0522 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="bfa0522" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-24e3298" data-id="24e3298" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-6f9bd64 elementor-widget elementor-widget-image" data-id="6f9bd64" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <img decoding="async" width="525" height="353" src="https://eot.ai/wp-content/uploads/2023/08/Screenshot-2023-04-29-at-12.14.19-PM-1024x689.png" class="attachment-large size-large wp-image-3858" alt="" srcset="https://eot.ai/wp-content/uploads/2023/08/Screenshot-2023-04-29-at-12.14.19-PM-1024x689.png 1024w, https://eot.ai/wp-content/uploads/2023/08/Screenshot-2023-04-29-at-12.14.19-PM-300x202.png 300w, https://eot.ai/wp-content/uploads/2023/08/Screenshot-2023-04-29-at-12.14.19-PM-768x517.png 768w, https://eot.ai/wp-content/uploads/2023/08/Screenshot-2023-04-29-at-12.14.19-PM-1536x1034.png 1536w, https://eot.ai/wp-content/uploads/2023/08/Screenshot-2023-04-29-at-12.14.19-PM.png 1604w" sizes="(max-width: 525px) 100vw, 525px" /> </div> </div> <div class="elementor-element elementor-element-9697831 elementor-widget elementor-widget-text-editor" data-id="9697831" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <div id="43332517-a9c8-4c31-8464-b027cdd963d9" class="x-el x-el-div x-el c1-1 c1-2 c1-14 c1-52 c1-4 c1-6u c1-6v c1-1c c1-6w c1-6x c1-b c1-c c1-6z c1-70 c1-d c1-e c1-f c1-g c1-1 c1-2 c1-b c1-c c1-d c1-e c1-f c1-g" data-ux="ContentBasic"><h4 class="x-el x-el-h4 c1-1 c1-2 c1-1q c1-1e c1-83 c1-18 c1-16 c1-15 c1-17 c1-b c1-30 c1-5k c1-45 c1-5m c1-5o c1-5p c1-5q" role="heading" aria-level="4" data-ux="ContentHeading" data-aid="CONTENT_HEADLINE1_RENDERED" data-typography="HeadingDelta">Overview</h4><div class="x-el c1-1 c1-2 c1-1q c1-1e c1-4q c1-15 c1-17 c1-71 c1-72 c1-73 c1-74 c1-75 c1-76 c1-77 c1-78 c1-79 c1-7a c1-7b c1-7c c1-7d c1-7e c1-7f c1-7g c1-7h c1-7i c1-7j c1-7k c1-7l c1-7m c1-7n c1-7o c1-7p c1-7q c1-7r c1-7s c1-6h c1-b c1-3r c1-c c1-45 c1-d c1-e c1-f c1-g x-rt" data-ux="ContentText" data-aid="CONTENT_DESCRIPTION1_RENDERED" data-typography="BodyAlpha"><p>A cloud-based enterprise data historian is a specialized data storage and management system designed to collect, store, and analyze time-series data generated by industrial processes, equipment, and control systems. By leveraging cloud technology, these data historians provide a highly scalable, cost-effective, and secure solution for storing and processing large volumes of historical and real-time data. The primary objective of a cloud-based enterprise data historian is to help industrial companies make data-driven decisions and optimize their operations.</p></div></div><div id="c803c01a-784a-4463-a992-26fac4fd691c" class="x-el x-el-div x-el c1-1 c1-2 c1-14 c1-52 c1-4 c1-6u c1-6v c1-1c c1-6w c1-6x c1-b c1-c c1-6z c1-70 c1-d c1-e c1-f c1-g c1-1 c1-2 c1-b c1-c c1-d c1-e c1-f c1-g" data-ux="ContentBasic"><h4 class="x-el x-el-h4 c1-1 c1-2 c1-1q c1-1e c1-83 c1-18 c1-16 c1-15 c1-17 c1-b c1-30 c1-5k c1-45 c1-5m c1-5o c1-5p c1-5q" role="heading" aria-level="4" data-ux="ContentHeading" data-aid="CONTENT_HEADLINE2_RENDERED" data-typography="HeadingDelta">Time-Series Data Storage</h4><div class="x-el c1-1 c1-2 c1-1q c1-1e c1-4q c1-15 c1-17 c1-71 c1-72 c1-73 c1-74 c1-75 c1-76 c1-77 c1-78 c1-79 c1-7a c1-7b c1-7c c1-7d c1-7e c1-7f c1-7g c1-7h c1-7i c1-7j c1-7k c1-7l c1-7m c1-7n c1-7o c1-7p c1-7q c1-7r c1-7s c1-6h c1-b c1-3r c1-c c1-45 c1-d c1-e c1-f c1-g x-rt" data-ux="ContentText" data-aid="CONTENT_DESCRIPTION2_RENDERED" data-typography="BodyAlpha"><p>Cloud-based data historians excel at handling time-series data from sensors, allowing industrial companies to maintain a comprehensive record of their equipment and process performance. This data enables organizations to analyze the past behavior of their systems and make better-informed decisions about future actions.</p></div></div> </div> </div> </div> </div> <div class="elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-d7a1c76" data-id="d7a1c76" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-9335333 elementor-widget elementor-widget-text-editor" data-id="9335333" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <div id="43332517-a9c8-4c31-8464-b027cdd963d9" class="x-el x-el-div x-el c1-1 c1-2 c1-14 c1-52 c1-4 c1-6u c1-6v c1-1c c1-6w c1-6x c1-b c1-c c1-6z c1-70 c1-d c1-e c1-f c1-g c1-1 c1-2 c1-b c1-c c1-d c1-e c1-f c1-g" data-ux="ContentBasic"><div class="x-el c1-1 c1-2 c1-1q c1-1e c1-4q c1-15 c1-17 c1-71 c1-72 c1-73 c1-74 c1-75 c1-76 c1-77 c1-78 c1-79 c1-7a c1-7b c1-7c c1-7d c1-7e c1-7f c1-7g c1-7h c1-7i c1-7j c1-7k c1-7l c1-7m c1-7n c1-7o c1-7p c1-7q c1-7r c1-7s c1-6h c1-b c1-3r c1-c c1-45 c1-d c1-e c1-f c1-g x-rt" data-ux="ContentText" data-aid="CONTENT_DESCRIPTION1_RENDERED" data-typography="BodyAlpha"><div id="43332517-a9c8-4c31-8464-b027cdd963d9" class="x-el x-el-div x-el c1-1 c1-2 c1-14 c1-52 c1-4 c1-6u c1-6v c1-1c c1-6w c1-6x c1-b c1-c c1-6z c1-70 c1-d c1-e c1-f c1-g c1-1 c1-2 c1-b c1-c c1-d c1-e c1-f c1-g" data-ux="ContentBasic"> </div><div id="232f9389-f966-4a71-84db-a61e30c29b8d" class="x-el x-el-div x-el c1-1 c1-2 c1-14 c1-52 c1-4 c1-6u c1-6v c1-1c c1-6w c1-6x c1-b c1-c c1-6z c1-70 c1-d c1-e c1-f c1-g c1-1 c1-2 c1-b c1-c c1-d c1-e c1-f c1-g" data-ux="ContentBasic"><h4 class="x-el x-el-h4 c1-1 c1-2 c1-1q c1-1e c1-83 c1-18 c1-16 c1-15 c1-17 c1-b c1-30 c1-5k c1-45 c1-5m c1-5o c1-5p c1-5q" role="heading" aria-level="4" data-ux="ContentHeading" data-aid="CONTENT_HEADLINE3_RENDERED" data-typography="HeadingDelta">Historical Data Analysis</h4><div class="x-el c1-1 c1-2 c1-1q c1-1e c1-4q c1-15 c1-17 c1-71 c1-72 c1-73 c1-74 c1-75 c1-76 c1-77 c1-78 c1-79 c1-7a c1-7b c1-7c c1-7d c1-7e c1-7f c1-7g c1-7h c1-7i c1-7j c1-7k c1-7l c1-7m c1-7n c1-7o c1-7p c1-7q c1-7r c1-7s c1-6h c1-b c1-3r c1-c c1-45 c1-d c1-e c1-f c1-g x-rt" data-ux="ContentText" data-aid="CONTENT_DESCRIPTION3_RENDERED" data-typography="BodyAlpha"><p>Storing historical sensor data allows companies to perform trend analysis, identify patterns, and uncover insights to optimize processes, improve product quality, and enhance overall operational efficiency. This historical data can also be used to establish baselines for predictive maintenance, reducing downtime, and associated costs.</p></div></div><div id="d5113025-72db-4538-ba3a-e743ec8c2541" class="x-el x-el-div x-el c1-1 c1-2 c1-14 c1-52 c1-4 c1-6u c1-6v c1-1c c1-6w c1-6x c1-b c1-c c1-6z c1-70 c1-d c1-e c1-f c1-g c1-1 c1-2 c1-b c1-c c1-d c1-e c1-f c1-g" data-ux="ContentBasic"><h4 class="x-el x-el-h4 c1-1 c1-2 c1-1q c1-1e c1-83 c1-18 c1-16 c1-15 c1-17 c1-b c1-30 c1-5k c1-45 c1-5m c1-5o c1-5p c1-5q" role="heading" aria-level="4" data-ux="ContentHeading" data-aid="CONTENT_HEADLINE4_RENDERED" data-typography="HeadingDelta">Real-Time Monitoring and Analytics</h4><div class="x-el c1-1 c1-2 c1-1q c1-1e c1-4q c1-15 c1-17 c1-71 c1-72 c1-73 c1-74 c1-75 c1-76 c1-77 c1-78 c1-79 c1-7a c1-7b c1-7c c1-7d c1-7e c1-7f c1-7g c1-7h c1-7i c1-7j c1-7k c1-7l c1-7m c1-7n c1-7o c1-7p c1-7q c1-7r c1-7s c1-6h c1-b c1-3r c1-c c1-45 c1-d c1-e c1-f c1-g x-rt" data-ux="ContentText" data-aid="CONTENT_DESCRIPTION4_RENDERED" data-typography="BodyAlpha"><p>Cloud-based data historians support real-time data ingestion and analytics, allowing organizations to monitor and respond to changes in their operations quickly. This capability leads to more proactive decision-making, enhanced efficiency, and reduced downtime.</p></div></div><div id="3c4e7573-df1b-4b02-98fd-12cc5d001cd3" class="x-el x-el-div x-el c1-1 c1-2 c1-14 c1-52 c1-4 c1-6u c1-6v c1-1c c1-6w c1-6x c1-b c1-c c1-6z c1-70 c1-d c1-e c1-f c1-g c1-1 c1-2 c1-b c1-c c1-d c1-e c1-f c1-g" data-ux="ContentBasic"><h4 class="x-el x-el-h4 c1-1 c1-2 c1-1q c1-1e c1-83 c1-18 c1-16 c1-15 c1-17 c1-b c1-30 c1-5k c1-45 c1-5m c1-5o c1-5p c1-5q" role="heading" aria-level="4" data-ux="ContentHeading" data-aid="CONTENT_HEADLINE5_RENDERED" data-typography="HeadingDelta">Anomaly Detection</h4><div class="x-el c1-1 c1-2 c1-1q c1-1e c1-4q c1-15 c1-17 c1-71 c1-72 c1-73 c1-74 c1-75 c1-76 c1-77 c1-78 c1-79 c1-7a c1-7b c1-7c c1-7d c1-7e c1-7f c1-7g c1-7h c1-7i c1-7j c1-7k c1-7l c1-7m c1-7n c1-7o c1-7p c1-7q c1-7r c1-7s c1-6h c1-b c1-3r c1-c c1-45 c1-d c1-e c1-f c1-g x-rt" data-ux="ContentText" data-aid="CONTENT_DESCRIPTION5_RENDERED" data-typography="BodyAlpha"><p>By analyzing historical sensor data, cloud-based data historians can help companies identify anomalies or deviations from normal operational patterns. This capability can be used to detect potential equipment failures, process inefficiencies, or quality issues, enabling organizations to take corrective action and mitigate risks.</p></div></div><div id="799be29e-04ad-49f9-8b10-f74314c47a38" class="x-el x-el-div x-el c1-1 c1-2 c1-14 c1-52 c1-4 c1-6u c1-6v c1-1c c1-6w c1-6x c1-b c1-c c1-6z c1-70 c1-d c1-e c1-f c1-g c1-1 c1-2 c1-b c1-c c1-d c1-e c1-f c1-g" data-ux="ContentBasic"><h4 class="x-el x-el-h4 c1-1 c1-2 c1-1q c1-1e c1-83 c1-18 c1-16 c1-15 c1-17 c1-b c1-30 c1-5k c1-45 c1-5m c1-5o c1-5p c1-5q" role="heading" aria-level="4" data-ux="ContentHeading" data-aid="CONTENT_HEADLINE6_RENDERED" data-typography="HeadingDelta">Scalability and Cost Efficiency</h4><div class="x-el c1-1 c1-2 c1-1q c1-1e c1-4q c1-15 c1-17 c1-71 c1-72 c1-73 c1-74 c1-75 c1-76 c1-77 c1-78 c1-79 c1-7a c1-7b c1-7c c1-7d c1-7e c1-7f c1-7g c1-7h c1-7i c1-7j c1-7k c1-7l c1-7m c1-7n c1-7o c1-7p c1-7q c1-7r c1-7s c1-6h c1-b c1-3r c1-c c1-45 c1-d c1-e c1-f c1-g x-rt" data-ux="ContentText" data-aid="CONTENT_DESCRIPTION6_RENDERED" data-typography="BodyAlpha"><p>Leveraging cloud technology, enterprise data historians offer a scalable storage solution that can grow with the organization&#8217;s data needs. This approach eliminates the need for significant upfront capital investments in hardware and infrastructure, reducing costs and allowing for more efficient resource allocation.</p></div></div></div></div> </div> </div> </div> </div> </div> </section> <div class="elementor-element elementor-element-706d935 elementor-widget elementor-widget-Button" data-id="706d935" data-element_type="widget" data-widget_type="Button.default"> <div class="elementor-widget-container"> <div class="qwords-btn-container"> <div class="qwords-button-block"> <a class="qwords-button qwords-button-flat" href="https://eot.ai/cloud-historian/#my-architecture"> <span class="text">Architecture- How to getStarted</span> <i class="ion-plus"></i> </a> </div> </div> </div> </div> </div> </div> </div> </section> <section class="elementor-section elementor-top-section elementor-element elementor-element-111f7ef elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="111f7ef" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b996768" data-id="b996768" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-a07a59a elementor-widget elementor-widget-heading" data-id="a07a59a" data-element_type="widget" data-widget_type="heading.default"> <div class="elementor-widget-container"> <h2 class="elementor-heading-title elementor-size-default">Twin Fusion Components for Industrial Data Lake</h2> </div> </div> <div class="elementor-element elementor-element-328f0ab elementor-widget-divider--view-line elementor-widget elementor-widget-divider" data-id="328f0ab" data-element_type="widget" data-widget_type="divider.default"> <div class="elementor-widget-container"> <div class="elementor-divider"> <span class="elementor-divider-separator"> </span> </div> </div> </div> <section class="elementor-section elementor-inner-section elementor-element elementor-element-66a453e elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="66a453e" data-element_type="section"> <div class="elementor-container elementor-column-gap-default"> <div class="elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-cc4a293" data-id="cc4a293" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-8d689e4 elementor-widget elementor-widget-image" data-id="8d689e4" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <img loading="lazy" decoding="async" width="525" height="364" src="https://eot.ai/wp-content/uploads/2023/08/blob-cd14835-e1693362343231.webp" class="attachment-large size-large wp-image-3706" alt="" srcset="https://eot.ai/wp-content/uploads/2023/08/blob-cd14835-e1693362343231.webp 1015w, https://eot.ai/wp-content/uploads/2023/08/blob-cd14835-e1693362343231-300x208.webp 300w, https://eot.ai/wp-content/uploads/2023/08/blob-cd14835-e1693362343231-768x533.webp 768w" sizes="(max-width: 525px) 100vw, 525px" /> </div> </div> <div class="elementor-element elementor-element-23009cc elementor-widget elementor-widget-text-editor" data-id="23009cc" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>EOT&#8217;s Twin Talk™ serves as a Data Integration Platform for industrial IoT, bridging the gap between operational systems (OT) and cloud (IT) solutions to unlock the untapped value of operational data. This innovative solution eliminates the complexity and costs associated with traditional infrastructure, enabling executives, operators, data scientists, and business analysts to harness AI, machine learning, and analytics for real-time insights and operational intelligence. Twin Talk streamlines the secure transmission of sensor data from assets while maintaining plant safety, allowing companies to focus on enhancing productivity through digitization and driving tangible business value.</p> </div> </div> <div class="elementor-element elementor-element-20f5d11 elementor-widget elementor-widget-Button" data-id="20f5d11" data-element_type="widget" data-widget_type="Button.default"> <div class="elementor-widget-container"> <div class="qwords-btn-container"> <div class="qwords-button-block"> <a class="qwords-button qwords-button-flat" href="https://eot.ai/twin-talk/"> <span class="text">Learn about Twin Talk</span> <i class="ion-plus"></i> </a> </div> </div> </div> </div> </div> </div> <div class="elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-aada735" data-id="aada735" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-ab810e4 elementor-widget elementor-widget-image" data-id="ab810e4" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <img loading="lazy" decoding="async" width="525" height="354" src="https://eot.ai/wp-content/uploads/2023/08/blob-b439d89-e1693361932825-1024x690.webp" class="attachment-large size-large wp-image-3687" alt="" srcset="https://eot.ai/wp-content/uploads/2023/08/blob-b439d89-e1693361932825-1024x690.webp 1024w, https://eot.ai/wp-content/uploads/2023/08/blob-b439d89-e1693361932825-300x202.webp 300w, https://eot.ai/wp-content/uploads/2023/08/blob-b439d89-e1693361932825-768x517.webp 768w, https://eot.ai/wp-content/uploads/2023/08/blob-b439d89-e1693361932825-1536x1035.webp 1536w, https://eot.ai/wp-content/uploads/2023/08/blob-b439d89-e1693361932825.webp 1873w" sizes="(max-width: 525px) 100vw, 525px" /> </div> </div> <div class="elementor-element elementor-element-c1876f8 elementor-widget elementor-widget-text-editor" data-id="c1876f8" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>EOT&#8217;s Twin Central™ facilitates the creation of an asset-centric, single source of truth semantic data model. With Twin Central, business technologists can map, link, store, and synchronize relationships between assets and their operational, engineering, and financial metadata using a unified relationship graph. This straightforward approach enables the creation and management of an asset-centric, single source of truth and semantic data model across the enterprise. Twin Central allows for the development of digital twin data models that map, connect, link, store, and synchronize relationships between assets and their operational, engineering, and financial metadata using a unified digital twin relationship graph.</p> </div> </div> <div class="elementor-element elementor-element-4c4c3e4 elementor-widget elementor-widget-Button" data-id="4c4c3e4" data-element_type="widget" data-widget_type="Button.default"> <div class="elementor-widget-container"> <div class="qwords-btn-container"> <div class="qwords-button-block"> <a class="qwords-button qwords-button-flat" href="https://eot.ai/twin-central/"> <span class="text">Learn about Twin Central</span> <i class="ion-plus"></i> </a> </div> </div> </div> </div> </div> </div> <div class="elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-d73be6b" data-id="d73be6b" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-3c082f4 elementor-widget elementor-widget-image" data-id="3c082f4" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <img loading="lazy" decoding="async" width="525" height="345" src="https://eot.ai/wp-content/uploads/2023/08/blob-46a80f5-e1693362686754-1024x672.webp" class="attachment-large size-large wp-image-3712" alt="" srcset="https://eot.ai/wp-content/uploads/2023/08/blob-46a80f5-e1693362686754-1024x672.webp 1024w, https://eot.ai/wp-content/uploads/2023/08/blob-46a80f5-e1693362686754-300x197.webp 300w, https://eot.ai/wp-content/uploads/2023/08/blob-46a80f5-e1693362686754-768x504.webp 768w, https://eot.ai/wp-content/uploads/2023/08/blob-46a80f5-e1693362686754-1536x1007.webp 1536w, https://eot.ai/wp-content/uploads/2023/08/blob-46a80f5-e1693362686754.webp 1799w" sizes="(max-width: 525px) 100vw, 525px" /> </div> </div> <div class="elementor-element elementor-element-4a85a94 elementor-widget elementor-widget-text-editor" data-id="4a85a94" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>EOT&#8217;s Twin Sight™ offers a modern, rapid prototyping approach to operational dashboard authoring, accelerating the adoption of AI-based anomaly detection, production optimization, and operation monitoring across all production sites. With Twin Sight™, industrial users can leverage the power of low-code AI-driven software to modernize the visualization of asset information and data, driving the rapid creation of use-case-specific visual dashboards, templates, and reports. 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} return false; } function disableButtonInWebView(providerButtonElement) { if (providerButtonElement) { providerButtonElement.classList.add('nsl-disabled-provider'); providerButtonElement.setAttribute('href', '#'); providerButtonElement.addEventListener('pointerdown', (e) => { if (!window._nslWebViewNoticeElement) { window._nslWebViewNoticeElement = document.createElement('div'); window._nslWebViewNoticeElement.id = "nsl-notices-fallback"; window._nslWebViewNoticeElement.addEventListener('pointerdown', function (e) { this.parentNode.removeChild(this); window._nslWebViewNoticeElement = null; }); const webviewNoticeHTML = '<div class="error"><p>' + scriptOptions._localizedStrings.webview_notification_text + '</p></div>'; window._nslWebViewNoticeElement.insertAdjacentHTML("afterbegin", webviewNoticeHTML); document.body.appendChild(window._nslWebViewNoticeElement); } }); } } window._nslDOMReady(function () { window.nslRedirect = function (url) { if (scriptOptions._redirectOverlay) { const overlay = document.createElement('div'); overlay.id = "nsl-redirect-overlay"; let overlayHTML = ''; const overlayContainer = "<div id='nsl-redirect-overlay-container'>", overlayContainerClose = "</div>", overlaySpinner = "<div id='nsl-redirect-overlay-spinner'></div>", overlayTitle = "<p id='nsl-redirect-overlay-title'>" + scriptOptions._localizedStrings.redirect_overlay_title + "</p>", overlayText = "<p id='nsl-redirect-overlay-text'>" + scriptOptions._localizedStrings.redirect_overlay_text + "</p>"; switch (scriptOptions._redirectOverlay) { case "overlay-only": break; case "overlay-with-spinner": overlayHTML = overlayContainer + overlaySpinner + overlayContainerClose; break; default: overlayHTML = overlayContainer + overlaySpinner + overlayTitle + overlayText + overlayContainerClose; break; } overlay.insertAdjacentHTML("afterbegin", overlayHTML); document.body.appendChild(overlay); } window.location = url; }; let targetWindow = scriptOptions._targetWindow || 'prefer-popup', lastPopup = false; document.addEventListener('click', function (e) { if (e.target) { const buttonLinkElement = e.target.closest('a[data-plugin="nsl"][data-action="connect"]') || e.target.closest('a[data-plugin="nsl"][data-action="link"]'); if (buttonLinkElement) { if (lastPopup && !lastPopup.closed) { e.preventDefault(); lastPopup.focus(); } else { let href = buttonLinkElement.href, success = false; if (href.indexOf('?') !== -1) { href += '&'; } else { href += '?'; } const redirectTo = buttonLinkElement.dataset.redirect; if (redirectTo === 'current') { href += 'redirect=' + encodeURIComponent(window.location.href) + '&'; } else if (redirectTo && redirectTo !== '') { href += 'redirect=' + encodeURIComponent(redirectTo) + '&'; } if (targetWindow !== 'prefer-same-window' && checkWebView()) { targetWindow = 'prefer-same-window'; } if (targetWindow === 'prefer-popup') { lastPopup = NSLPopup(href + 'display=popup', 'nsl-social-connect', buttonLinkElement.dataset.popupwidth, buttonLinkElement.dataset.popupheight); if (lastPopup) { success = true; e.preventDefault(); } } else if (targetWindow === 'prefer-new-tab') { const newTab = window.open(href + 'display=popup', '_blank'); if (newTab) { if (window.focus) { newTab.focus(); } success = true; window._nslHasOpenedPopup = true; e.preventDefault(); } } if (!success) { window.location = href; e.preventDefault(); } } } } }); let buttonCountChanged = false; const googleLoginButtons = document.querySelectorAll(' a[data-plugin="nsl"][data-provider="google"]'); if (googleLoginButtons.length && checkWebView()) { googleLoginButtons.forEach(function (googleLoginButton) { if (scriptOptions._unsupportedWebviewBehavior === 'disable-button') { disableButtonInWebView(googleLoginButton); } else { googleLoginButton.remove(); buttonCountChanged = true; } }); } const facebookLoginButtons = document.querySelectorAll(' a[data-plugin="nsl"][data-provider="facebook"]'); if (facebookLoginButtons.length && checkWebView() && /Android/.test(window.navigator.userAgent) && !isAllowedWebViewForUserAgent('facebook')) { facebookLoginButtons.forEach(function (facebookLoginButton) { if (scriptOptions._unsupportedWebviewBehavior === 'disable-button') { disableButtonInWebView(facebookLoginButton); } else { facebookLoginButton.remove(); buttonCountChanged = true; } }); } const separators = document.querySelectorAll('div.nsl-separator'); if (buttonCountChanged && separators.length) { separators.forEach(function (separator) { const separatorParentNode = separator.parentNode; if (separatorParentNode) { const separatorButtonContainer = separatorParentNode.querySelector('div.nsl-container-buttons'); if (separatorButtonContainer && !separatorButtonContainer.hasChildNodes()) { separator.remove(); } } }) } }); /** * Cross-Origin-Opener-Policy blocked the access to the opener */ if (typeof BroadcastChannel === "function") { const _nslLoginBroadCastChannel = new BroadcastChannel('nsl_login_broadcast_channel'); _nslLoginBroadCastChannel.onmessage = (event) => { if (window?._nslHasOpenedPopup && event.data?.action === 'redirect') { window._nslHasOpenedPopup = false; const url = event.data?.href; _nslLoginBroadCastChannel.close(); if (typeof window.nslRedirect === 'function') { window.nslRedirect(url); } else { window.opener.location = url; } } }; }})();</script></body> </html> <!-- Page cached by LiteSpeed Cache 6.5.4 on 2025-02-18 17:25:15 -->

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