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class="post-3740 page type-page status-publish hentry"> <div class="entry-content"> <div data-elementor-type="wp-page" data-elementor-id="3740" class="elementor elementor-3740" data-elementor-post-type="page"> <section class="elementor-section elementor-top-section elementor-element elementor-element-11a6912 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="11a6912" 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-5cd09d2" data-id="5cd09d2" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-19401e6 elementor-widget elementor-widget-image" data-id="19401e6" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <style>/*! elementor - v3.19.0 - 07-02-2024 */ .elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=".svg"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}</style> <img fetchpriority="high" decoding="async" width="525" height="366" src="https://eot.ai/wp-content/uploads/2023/08/iStock-1046119522-1-e1697104635386-768x536.jpg" class="attachment-medium_large size-medium_large wp-image-3741" alt="" srcset="https://eot.ai/wp-content/uploads/2023/08/iStock-1046119522-1-e1697104635386-768x536.jpg 768w, https://eot.ai/wp-content/uploads/2023/08/iStock-1046119522-1-e1697104635386-300x209.jpg 300w, https://eot.ai/wp-content/uploads/2023/08/iStock-1046119522-1-e1697104635386.jpg 861w" sizes="(max-width: 525px) 100vw, 525px" /> </div> </div> <div class="elementor-element elementor-element-a467f5f elementor-widget elementor-widget-heading" data-id="a467f5f" data-element_type="widget" data-widget_type="heading.default"> <div class="elementor-widget-container"> <style>/*! elementor - v3.19.0 - 07-02-2024 */ .elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}</style><h2 class="elementor-heading-title elementor-size-default">Industrial Data Lake Solution</h2> </div> </div> <div class="elementor-element elementor-element-79a7557 elementor-widget-divider--view-line elementor-widget elementor-widget-divider" data-id="79a7557" data-element_type="widget" data-widget_type="divider.default"> <div class="elementor-widget-container"> <style>/*! elementor - v3.19.0 - 07-02-2024 */ .elementor-widget-divider{--divider-border-style:none;--divider-border-width:1px;--divider-color:#0c0d0e;--divider-icon-size:20px;--divider-element-spacing:10px;--divider-pattern-height:24px;--divider-pattern-size:20px;--divider-pattern-url:none;--divider-pattern-repeat:repeat-x}.elementor-widget-divider .elementor-divider{display:flex}.elementor-widget-divider .elementor-divider__text{font-size:15px;line-height:1;max-width:95%}.elementor-widget-divider .elementor-divider__element{margin:0 var(--divider-element-spacing);flex-shrink:0}.elementor-widget-divider .elementor-icon{font-size:var(--divider-icon-size)}.elementor-widget-divider .elementor-divider-separator{display:flex;margin:0;direction:ltr}.elementor-widget-divider--view-line_icon .elementor-divider-separator,.elementor-widget-divider--view-line_text 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.elementor-divider__element{margin-inline-end:0}.elementor-widget-divider:not(.elementor-widget-divider--view-line_text):not(.elementor-widget-divider--view-line_icon) .elementor-divider-separator{border-block-start:var(--divider-border-width) var(--divider-border-style) var(--divider-color)}.elementor-widget-divider--separator-type-pattern{--divider-border-style:none}.elementor-widget-divider--separator-type-pattern.elementor-widget-divider--view-line .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 Industrial Data Lake is a centralized storage repository that holds vast amounts of raw data from various sources across your organization. By using an Industrial Data Fabric (IDF) solution and its components – Twin Talk, Twin Sight, and Twin Central – you can design and create a powerful and flexible Industrial Data Lake that effectively manages your data and supports advanced analytics and machine learning applications.</p><p>Twin Talk serves as the foundation for building your Industrial Data Lake by providing secure, scalable data ingestion from SCADA systems and historians to the cloud. It eliminates the barriers associated with traditional data management systems, ensuring seamless data flow and integration.</p><p>Twin Sight offers an intuitive, user-friendly visualization tool and dashboard builder that allows you to access, analyze, and gain insights from the data stored in your Industrial Data Lake. With real-time data at your fingertips, you can make timely, informed decisions and optimize your operations.</p><p>Twin Central, the third IDF component, creates a comprehensive semantic data model for asset management. By linking, mapping, and managing all your metadata, Twin Central generates a single source of truth that unifies your entire organization’s data. This simplification of data management ensures efficient data access and streamlines analytics processes.</p><p>By leveraging the power of the IDF components, you can design an Industrial Data Lake that serves as a centralized data hub, breaking down data silos and fostering collaboration across departments. An Industrial Data Lake 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 Industrial Data Lake 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 an Industrial Data Lake 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 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/idl.jpg" data-elementor-open-lightbox="yes" data-e-action-hash="#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NDgwOSwidXJsIjoiaHR0cHM6XC9cL2VvdC5haVwvd3AtY29udGVudFwvdXBsb2Fkc1wvMjAyM1wvMDlcL2lkbC5qcGcifQ%3D%3D"> <img decoding="async" width="525" height="295" src="https://eot.ai/wp-content/uploads/2023/09/idl-1024x576.jpg" class="attachment-large size-large wp-image-4809" alt="" srcset="https://eot.ai/wp-content/uploads/2023/09/idl-1024x576.jpg 1024w, https://eot.ai/wp-content/uploads/2023/09/idl-300x169.jpg 300w, https://eot.ai/wp-content/uploads/2023/09/idl-768x432.jpg 768w, https://eot.ai/wp-content/uploads/2023/09/idl-1536x864.jpg 1536w, https://eot.ai/wp-content/uploads/2023/09/idl.jpg 1920w" sizes="(max-width: 525px) 100vw, 525px" /> </a> <figcaption class="widget-image-caption wp-caption-text">Industrial Data Lake</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 Industrial Data Lake architecture with EOT products is a game-changer, offering simplicity, stability, and speed. With no coding necessary and no need for “Lift and Shift” components like AWS Lambda, AWS Glue, or AWS Kinesis, EOT delivers a clean, elegant, and highly performant solution that outshines competitors. EOT’s user-friendly approach empowers organizations to harness their data’s full potential, accelerating data-driven decision-making while saving time and resources. Here are the for functional steps to get your first use case solution working:</p><ol><li>Begin by identifying the use cases that offer real business value, and use Twin Central to create Assets and Data Models. These will serve as the Single Source of Truth, enabling you to navigate through industrial assets within the Industrial Data Lake, dashboards, and visualization apps.</li><li>With your valuable use cases in mind, utilize Twin Talk to configure Data Ingestion, Curation, and Contextualization. This process will transport and transform raw data from Data Sources into the data storage, making it ready for analysis.</li><li>As you continue to focus on the specified use cases, train and deploy Analytics and Machine Learning (ML) models to provide valuable insights for the Industrial Data Lake, dashboards, and visualization apps.</li><li>Finally, ensure that the Industrial Data Lake, dashboards, and visualization apps display operational, financial, and technical data, along with insights from analytics and ML systems, based on your identified use cases that offer real business value.</li></ol><p>By following these four steps, you can effectively harness the power of an Industrial Data Lake 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"><span style="color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-weight: var( --e-global-typography-text-font-weight ); font-size: 1rem;">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:</span></div><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’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> </section> <div class="elementor-element elementor-element-fd0e154 elementor-widget elementor-widget-Button" data-id="fd0e154" 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-35eeb2e elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="35eeb2e" 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-8414a10" data-id="8414a10" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-3cf9b05 elementor-widget elementor-widget-heading" data-id="3cf9b05" data-element_type="widget" data-widget_type="heading.default"> <div class="elementor-widget-container"> <h2 class="elementor-heading-title elementor-size-default">Industrial Data Lake Features and Benefits</h2> </div> </div> <div class="elementor-element elementor-element-d1b99cf elementor-widget-divider--view-line elementor-widget elementor-widget-divider" data-id="d1b99cf" 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-eab6a2c elementor-widget elementor-widget-image" data-id="eab6a2c" data-element_type="widget" data-widget_type="image.default"> <div class="elementor-widget-container"> <img decoding="async" width="300" height="209" src="https://eot.ai/wp-content/uploads/2023/08/iStock-1046119522-1-e1697104635386-300x209.jpg" class="attachment-medium size-medium wp-image-3741" alt="" srcset="https://eot.ai/wp-content/uploads/2023/08/iStock-1046119522-1-e1697104635386-300x209.jpg 300w, https://eot.ai/wp-content/uploads/2023/08/iStock-1046119522-1-e1697104635386-768x536.jpg 768w, https://eot.ai/wp-content/uploads/2023/08/iStock-1046119522-1-e1697104635386.jpg 861w" sizes="(max-width: 300px) 100vw, 300px" /> </div> </div> <section class="elementor-section elementor-inner-section elementor-element elementor-element-0ee887c elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="0ee887c" 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-83fdfeb" data-id="83fdfeb" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-ce5498c elementor-widget elementor-widget-text-editor" data-id="ce5498c" 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"><p>An industrial data lake is a centralized repository that stores large volumes of structured and unstructured data from various sources within an industrial environment. This data can be used by industrial companies for advanced analytics, machine learning, and visualization applications, allowing them to gain valuable insights, optimize processes, and make data-driven decisions.</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">Analytics and Machine Learning Use Cases</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"><ul><li>Predictive maintenance: By leveraging machine learning algorithms on the data stored within the industrial data lake, companies can predict equipment failures, enabling proactive maintenance scheduling and reducing downtime.</li><li>Process optimization: Analytics tools can process the vast amounts of data within a data lake to identify inefficiencies, bottlenecks, and quality issues. This information can be used to optimize production processes, increase throughput, and minimize waste.</li><li>Anomaly detection: Machine learning models can be trained to identify anomalies in operational data, alerting operators to potential issues before they escalate, thus improving safety and reducing the risk of equipment failure.</li></ul></div></div> </div> </div> </div> </div> <div class="elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-9fe6c68" data-id="9fe6c68" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-7e6fc19 elementor-widget elementor-widget-text-editor" data-id="7e6fc19" 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 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">Visualization Use Cases</h4></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"><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"><ul><li>Real-time monitoring: Visualization applications can be used to create dashboards that display real-time data from the industrial data lake, providing operators with a comprehensive overview of asset performance and enabling faster, more informed decision-making.</li><li>Remote collaboration: Industrial data lakes facilitate collaboration between onsite and remote teams by providing access to real-time data and visualizations, allowing experts to review and analyze data from anywhere, leading to better decision-making and improved asset performance.</li><li>Customized reporting: Visualization applications can be employed to generate custom reports, tailored to individual use cases, that analyze and present data from the industrial data lake in a clear, accessible manner. These reports can be used to communicate insights to stakeholders and drive data-driven decision-making.</li></ul></div></div> </div> </div> </div> </div> </div> </section> <div class="elementor-element elementor-element-22d2a58 elementor-widget elementor-widget-Button" data-id="22d2a58" 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/industrial-data-lake/#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-856e861 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="856e861" 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-f5d21c7" data-id="f5d21c7" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-2c23db6 elementor-widget elementor-widget-heading" data-id="2c23db6" 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-b126521 elementor-widget-divider--view-line elementor-widget elementor-widget-divider" data-id="b126521" 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-ba56eef elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="ba56eef" 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-e7466ad" data-id="e7466ad" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-9b2227d elementor-widget elementor-widget-image" data-id="9b2227d" 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-518ee43 elementor-widget elementor-widget-text-editor" data-id="518ee43" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>EOT’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-399b18c elementor-widget elementor-widget-Button" data-id="399b18c" 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-ad6e95d" data-id="ad6e95d" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-6153080 elementor-widget elementor-widget-image" data-id="6153080" 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-1fe90a3 elementor-widget elementor-widget-text-editor" data-id="1fe90a3" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>EOT’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-d248fa9 elementor-widget elementor-widget-Button" data-id="d248fa9" 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-351956b" data-id="351956b" data-element_type="column"> <div class="elementor-widget-wrap elementor-element-populated"> <div class="elementor-element elementor-element-3bd718a elementor-widget elementor-widget-image" data-id="3bd718a" 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-c032dd7 elementor-widget elementor-widget-text-editor" data-id="c032dd7" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <p>EOT’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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if (targetWidth !== null) { features.push('width=' + targetWidth); } if (targetHeight !== null) { features.push('height=' + targetHeight); } features.push('left=' + left); features.push('top=' + right); features.push('scrollbars=1'); const newWindow = window.open(url, title, features.join(',')); if (window.focus) { newWindow.focus(); } window._nslHasOpenedPopup = true; return newWindow; }; let isWebView = null; function checkWebView() { if (isWebView === null) { function _detectOS(ua) { if (/Android/.test(ua)) { return "Android"; } else if (/iPhone|iPad|iPod/.test(ua)) { return "iOS"; } else if (/Windows/.test(ua)) { return "Windows"; } else if (/Mac OS X/.test(ua)) { return "Mac"; } else if (/CrOS/.test(ua)) { return "Chrome OS"; } else if (/Firefox/.test(ua)) { return "Firefox OS"; } return ""; } function _detectBrowser(ua) { let android = /Android/.test(ua); if (/Opera Mini/.test(ua) || / OPR/.test(ua) || / OPT/.test(ua)) { return "Opera"; } else if (/CriOS/.test(ua)) { return "Chrome for iOS"; } else if (/Edge/.test(ua)) { return "Edge"; } else if (android && /Silk\//.test(ua)) { return "Silk"; } else if (/Chrome/.test(ua)) { return "Chrome"; } else if (/Firefox/.test(ua)) { return "Firefox"; } else if (android) { return "AOSP"; } else if (/MSIE|Trident/.test(ua)) { return "IE"; } else if (/Safari\//.test(ua)) { return "Safari"; } else if (/AppleWebKit/.test(ua)) { return "WebKit"; } return ""; } function _detectBrowserVersion(ua, browser) { if (browser === "Opera") { return /Opera Mini/.test(ua) ? _getVersion(ua, "Opera Mini/") : / OPR/.test(ua) ? _getVersion(ua, " OPR/") : _getVersion(ua, " OPT/"); } else if (browser === "Chrome for iOS") { return _getVersion(ua, "CriOS/"); } else if (browser === "Edge") { return _getVersion(ua, "Edge/"); } else if (browser === "Chrome") { return _getVersion(ua, "Chrome/"); } else if (browser === "Firefox") { return _getVersion(ua, "Firefox/"); } else if (browser === "Silk") { return _getVersion(ua, "Silk/"); } else if (browser === "AOSP") { return _getVersion(ua, "Version/"); } else if (browser === "IE") { return /IEMobile/.test(ua) ? _getVersion(ua, "IEMobile/") : /MSIE/.test(ua) ? _getVersion(ua, "MSIE ") : _getVersion(ua, "rv:"); } else if (browser === "Safari") { return _getVersion(ua, "Version/"); } else if (browser === "WebKit") { return _getVersion(ua, "WebKit/"); } return "0.0.0"; } function _getVersion(ua, token) { try { return _normalizeSemverString(ua.split(token)[1].trim().split(/[^\w\.]/)[0]); } catch (o_O) { } return "0.0.0"; } function _normalizeSemverString(version) { const ary = version.split(/[\._]/); return (parseInt(ary[0], 10) || 0) + "." + (parseInt(ary[1], 10) || 0) + "." + (parseInt(ary[2], 10) || 0); } function _isWebView(ua, os, browser, version, options) { switch (os + browser) { case "iOSSafari": return false; case "iOSWebKit": return _isWebView_iOS(options); case "AndroidAOSP": return false; case "AndroidChrome": return parseFloat(version) >= 42 ? /; wv/.test(ua) : /\d{2}\.0\.0/.test(version) ? true : _isWebView_Android(options); } return false; } function _isWebView_iOS(options) { const document = (window["document"] || {}); if ("WEB_VIEW" in options) { return options["WEB_VIEW"]; } return !("fullscreenEnabled" in document || "webkitFullscreenEnabled" in document || false); } function _isWebView_Android(options) { if ("WEB_VIEW" in options) { return options["WEB_VIEW"]; } return !("requestFileSystem" in window || "webkitRequestFileSystem" in window || false); } const options = {}, nav = window.navigator || {}, ua = nav.userAgent || "", os = _detectOS(ua), browser = _detectBrowser(ua), browserVersion = _detectBrowserVersion(ua, browser); isWebView = _isWebView(ua, os, browser, browserVersion, options); } return isWebView; } function isAllowedWebViewForUserAgent(provider) { const facebookAllowedWebViews = [ 'Instagram', 'FBAV', 'FBAN' ]; let whitelist = []; if (provider && provider === 'facebook') { whitelist = facebookAllowedWebViews; } const nav = window.navigator || {}, ua = nav.userAgent || ""; if (whitelist.length && ua.match(new RegExp(whitelist.join('|')))) { return true; } 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>