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Enhancing Equipment Reliability through Data-Driven Insights

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Accelerate Implementation of Predictive Maintenance with No-code Environment

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Predictive Maintenance Accelerator

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This Predictive Maintenance AI-ML model helps industries and organisations to predict when equipment is likely to fail.

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By leveraging these predictions which identifies potential equipment issues before they become critical, organisations can optimize maintenance schedules and reduce the risk of unexpected downtime, reduce the cost and disruption of equipment downtime, improve overall equipment reliability, and extend the life of their assets.

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Data Collection: We can collect the data from equipment sensors, maintenance records, and other sources to provide the inputs for predictive models.

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Predictive Analytics: We uses machine learning algorithms to analyse equipment data and identify patterns that indicate potential failures.

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Condition Monitoring:We will continuously monitor the health of equipment and generates alerts when anomalies are detected.

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Visualization and Reporting: It provides interactive visualizations and reports that help organizations to understand the performance of their equipment.

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Integration with other systems: It can be integrated with other systems such as Enterprise Resource Planning (ERP), Computerized Maintenance Management System (CMMS), and Internet of Things (IoT) devices, to provide a comprehensive view of equipment performance.

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Why Predictive Maintenance Accelerator?

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Predictive Maintenance Accelerator provides pre-built components, such as machine learning predictions and business insights that can be configured and customized to meet the specific needs of an organization and can be integrated with existing maintenance systems to provide a seamless solution. By using this Accelerator, organizations can reduce the time and can focus on using the insights generated to improve equipment reliability and reduce maintenance costs.

[/et_pb_text][/et_pb_column][/et_pb_row][/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.13.1″ _module_preset=”default” background_color=”#eff3f6″ custom_margin=”0px|||||” custom_padding=”0px||0px|||” border_width_bottom=”1px” border_color_bottom=”#d3d3d3″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.13.1″ _module_preset=”default” custom_padding=”21px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.13.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.13.1″ _module_preset=”default” text_font=”|700|||||||” text_text_color=”#001b53″ text_font_size=”27px” text_line_height=”1.3em” text_orientation=”center” global_colors_info=”{}”]Boolean’s Predictive Maintenance Accelerator Includes[/et_pb_text][/et_pb_column][/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.13.1″ _module_preset=”default” custom_margin=”|auto|1px|auto|false|false” custom_padding=”||6px|||” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.13.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Downtime Risk: MLAAS helps predicting equipment failures, organizations can reduce the risk of unexpected downtime.” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/icon.png” icon_placement=”left” image_icon_width=”90%” content_max_width=”100%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#595959″ header_font_size=”17px” module_alignment=”left” custom_margin=”||0px||false|false” custom_padding=”||0px||false|false” border_width_all_image=”1px” border_color_all_image=”rgba(10,120,204,0)” global_colors_info=”{}”][/et_pb_blurb][et_pb_blurb title=”Improve Overall Equipment: MLAAS offers performing maintenance before they occur organizations can improve overall equipment reliability.” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/icon.png” icon_placement=”left” image_icon_width=”90%” content_max_width=”100%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#595656″ header_font_size=”16px” module_alignment=”left” custom_margin=”||-1px|||” custom_padding=”||0px|||” border_width_all_image=”1px” border_color_all_image=”rgba(10,120,204,0)” global_colors_info=”{}”][/et_pb_blurb][et_pb_blurb title=”Lower Maintenance Costs: MLAAS can help reduce the cost of maintenance by optimizing maintenance schedules.” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/icon.png” icon_placement=”left” image_icon_width=”90%” content_max_width=”100%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#595656″ header_font_size=”16px” module_alignment=”left” custom_margin=”||-1px|||” custom_padding=”||10px|||” border_width_all_image=”1px” border_color_all_image=”rgba(10,120,204,0)” global_colors_info=”{}”][/et_pb_blurb][et_pb_blurb title=”Increased Asset Lifespan: Regular maintenance performed promptly can help extend the lifespan of equipment assets.” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/icon.png” icon_placement=”left” image_icon_width=”90%” content_max_width=”100%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#595656″ header_font_size=”16px” module_alignment=”left” custom_margin=”||-3px|||” custom_padding=”||0px|||” border_width_all_image=”1px” border_color_all_image=”rgba(10,120,204,0)” global_colors_info=”{}”][/et_pb_blurb][/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.13.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Improved Safety: By reducing the risk of equipment failure, MLAAS can help improve safety in the workplace.” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/icon.png” icon_placement=”left” image_icon_width=”90%” content_max_width=”100%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#595656″ header_font_size=”16px” module_alignment=”left” custom_margin=”||-1px|||” custom_padding=”||0px|||” border_width_all_image=”1px” border_color_all_image=”rgba(10,120,204,0)” global_colors_info=”{}”][/et_pb_blurb][et_pb_blurb title=”Better Decision-Making: MLAAS provides organizations with valuable data and insights that can inform decision-making in maintenance scheduling.” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/icon.png” icon_placement=”left” image_icon_width=”90%” content_max_width=”100%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#595656″ header_font_size=”16px” module_alignment=”left” custom_margin=”||-1px|||” custom_padding=”||0px|||” border_width_all_image=”1px” border_color_all_image=”rgba(10,120,204,0)” global_colors_info=”{}”][/et_pb_blurb][et_pb_blurb title=”Increased Efficiency: By reducing the risk of unexpected downtime, MLAAS can help organizations improve operational efficiency and increase productivity.” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/icon.png” icon_placement=”left” image_icon_width=”90%” content_max_width=”100%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#595656″ header_font_size=”16px” module_alignment=”left” custom_margin=”||-1px|||” custom_padding=”||0px|||” border_width_all_image=”1px” border_color_all_image=”rgba(10,120,204,0)” global_colors_info=”{}”][/et_pb_blurb][/et_pb_column][/et_pb_row][/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.13.1″ _module_preset=”default” custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_row _builder_version=”4.13.1″ _module_preset=”default” custom_padding=”27px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.13.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.13.1″ _module_preset=”default” text_font=”|700|||||||” text_text_color=”#001b53″ text_font_size=”27px” text_line_height=”1.3em” text_orientation=”center” global_colors_info=”{}”]Performance Benefits of Predictive Maintenance[/et_pb_text][/et_pb_column][/et_pb_row][et_pb_row column_structure=”1_4,1_4,1_4,1_4″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” _builder_version=”4.13.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.13.1″ _module_preset=”default” custom_padding=”10px||10px||true|false” box_shadow_style=”preset1″ box_shadow_blur=”4px” global_colors_info=”{}”][et_pb_blurb title=”Reduction in total maintenance cost” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/predictive20.png” image_icon_width=”60%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_align=”center” header_text_color=”#515151″ header_font_size=”18px” global_colors_info=”{}”][/et_pb_blurb][/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.13.1″ _module_preset=”default” custom_padding=”10px||10px||true|false” box_shadow_style=”preset1″ box_shadow_blur=”4px” global_colors_info=”{}”][et_pb_blurb title=”Reduction in sudden and complete breakdowns” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/predictive45.png” image_icon_width=”60%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_align=”center” header_text_color=”#515151″ header_font_size=”18px” global_colors_info=”{}”][/et_pb_blurb][/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.13.1″ _module_preset=”default” custom_padding=”10px||10px||true|false” box_shadow_style=”preset1″ box_shadow_blur=”4px” global_colors_info=”{}”][et_pb_blurb title=”Imporved equipment productivity” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/predictive25.png” image_icon_width=”60%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_align=”center” header_text_color=”#515151″ header_font_size=”18px” global_colors_info=”{}”][/et_pb_blurb][/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.13.1″ _module_preset=”default” custom_padding=”10px||10px||true|false” box_shadow_style=”preset1″ box_shadow_blur=”4px” global_colors_info=”{}”][et_pb_blurb title=”Reduction in unplanned downtime” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/predictive75.png” image_icon_width=”60%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_align=”center” header_text_color=”#515151″ header_font_size=”18px” global_colors_info=”{}”][/et_pb_blurb][/et_pb_column][/et_pb_row][/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.13.1″ _module_preset=”default” background_color=”#eff3f6″ custom_margin=”0px|||||” custom_padding=”0px||0px|||” border_width_bottom=”1px” border_color_bottom=”#d3d3d3″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.13.1″ _module_preset=”default” custom_padding=”3px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.13.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.13.1″ _module_preset=”default” text_font=”|700|||||||” text_text_color=”#001b53″ text_font_size=”27px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”||3px|||” global_colors_info=”{}”]

Use Cases of Predictive Maintenance

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The use of Predictive Maintenance AI-ML model in any industry can help organizations reduce costs, improve efficiency, and increase equipment reliability and safety.

[/et_pb_text][/et_pb_column][/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.13.1″ _module_preset=”default” custom_margin=”|auto|1px|auto|false|false” custom_padding=”||6px|||” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.13.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Manufacturing: MLAAS is used to monitor and predict the failure of the production lines equipment.” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/icon.png” icon_placement=”left” image_icon_width=”90%” content_max_width=”100%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#595959″ header_font_size=”17px” module_alignment=”left” custom_margin=”||0px||false|false” custom_padding=”||0px||false|false” border_width_all_image=”1px” border_color_all_image=”rgba(10,120,204,0)” global_colors_info=”{}”][/et_pb_blurb][et_pb_blurb title=”Transportation: MLAAS is used to monitor and predict the failure of vehicles.” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/icon.png” icon_placement=”left” image_icon_width=”90%” content_max_width=”100%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#595656″ header_font_size=”16px” module_alignment=”left” custom_margin=”||-1px|||” custom_padding=”||0px|||” border_width_all_image=”1px” border_color_all_image=”rgba(10,120,204,0)” global_colors_info=”{}”][/et_pb_blurb][et_pb_blurb title=”Healthcare: MLAAS is used to monitor and predict the failure of medical equipment, such as MRI machines and ventilators.” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/icon.png” icon_placement=”left” image_icon_width=”90%” content_max_width=”100%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#595656″ header_font_size=”16px” module_alignment=”left” custom_margin=”||-1px|||” custom_padding=”||10px|||” border_width_all_image=”1px” border_color_all_image=”rgba(10,120,204,0)” global_colors_info=”{}”][/et_pb_blurb][/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.13.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Agriculture: MLAAS is used to monitor and predict the failure of farming equipment, such as tractors, combines, and irrigation systems.” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/icon.png” icon_placement=”left” image_icon_width=”90%” content_max_width=”100%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#595656″ header_font_size=”16px” module_alignment=”left” custom_margin=”||-3px|||” custom_padding=”||0px|||” border_width_all_image=”1px” border_color_all_image=”rgba(10,120,204,0)” global_colors_info=”{}”][/et_pb_blurb][et_pb_blurb title=”Mining: MLAAS is used to monitor and predict the failure of heavy machinery, including drilling and excavation equipment.” image=”http://8xg.90e.myftpupload.com/wp-content/uploads/2023/02/icon.png” icon_placement=”left” image_icon_width=”90%” content_max_width=”100%” _builder_version=”4.13.1″ _module_preset=”default” header_font=”|600|||||||” header_text_color=”#595656″ header_font_size=”16px” module_alignment=”left” custom_margin=”||-1px|||” custom_padding=”||0px|||” border_width_all_image=”1px” border_color_all_image=”rgba(10,120,204,0)” global_colors_info=”{}”][/et_pb_blurb][/et_pb_column][/et_pb_row][/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.13.1″ _module_preset=”default” custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_row _builder_version=”4.13.1″ _module_preset=”default” custom_padding=”21px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.13.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.13.1″ _module_preset=”default” text_font=”|700|||||||” text_text_color=”#001b53″ text_font_size=”27px” text_line_height=”1.3em” text_orientation=”center” global_colors_info=”{}”]

About Predictive Maintenance Dashboard

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Video

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Case Study

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Architecture Diagram of Predictive Maintenance Accelerator

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Get Started with the Predictive Maintenance Accelerator

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Learn how Boolean can help you reduce costs and optimise performance while ensuring control and compliance.

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Request For Demo

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Get Started with the Predictive Maintenance Accelerator

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About Boolean Data
Systems

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Boolean Data Systems is a Snowflake Select Services partner that implements solutions on cloud platforms. we help enterprises make better business decisions with data and solve real-world business analytics and data problems.

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Services and
Offerings

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Snowflake Services
Data Engineering
Data Science
Data Visualization
Managed Services

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Solutions &
Accelerators

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Data Pipeline
QA Framework
Logistics
Retail
Predictive Maintenance

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Global
Head Quarters

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1255 Peachtree Parkway, Suite #4204, Alpharetta, GA 30041, USA.
Ph. : +1 678-261-8899
Fax : (470) 560-3866

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