LogoLogo
IntegrationsInstallationAdministrationContact Support
XMPro Platform
XMPro Platform
  • What is XMPro?
  • Getting Started
    • Browser Requirements
    • Free Trial
    • End-To-End Use Case
  • Resources
    • What's New in 4.4
      • What's New in 4.3
      • What's New in 4.2
      • What's New in 4.1.13
      • What's New in 4.1
      • What's New in 4.0
    • Blueprints, Accelerators & Patterns
    • Integrations
    • Sizing Guideline
    • Platform Security
    • Icon Library
    • FAQs
      • Implementation FAQs
      • Configuration FAQs
      • Agent FAQs
      • General FAQs
      • External Content
        • Blogs
          • 2024
            • How to Build Multi-Agent Systems for Industry
            • Why Solving the Problem Doesn’t Solve the Problem: The Importance of Scalable Intelligent Operations
            • Content, Decision, and Hybrid: The Three Pillars of Multi-Agent Systems in Industry
            • Revolutionizing Manufacturing with AI and Generative AI: XMPro’s Intelligent Business Operations Sui
            • The Evolution of Skills: Lessons from Agriculture in the GenAI and MAGS Era
            • Part 1: From Railroads to AI: The Evolution of Game-Changing Utilities
            • Part2: The Future of Work: Harnessing Generative Agents in Manufacturing
            • Bridging Automation and Intelligence: XMPro’s Approach to Industrial Agent Management
            • XMPro APEX: Pioneering AgentOps for Industrial Multi Agent Generative Systems
            • Part 5 – Rules of Engagement: Establishing Governance for Multi-Agent Generative Systems
            • How to Achieve Scalable Predictive Maintenance for Industrial Operations
            • Understanding the Difference Between XMPro AI Assistant and AI Advisor
            • Part 3 – AI at the Core: LLMs and Data Pipelines for Industrial Multi-Agent Generative Systems
            • MAGS: The Killer App for Generative AI in Industrial Applications
            • The Importance of Pump Predictive Maintenance for Operational Efficiency
            • Progressing Through The Decision Intelligence Continuum With XMPro
            • The Value-First Approach to Industrial AI: Why MAGS Implementation Must Start with Business Outcomes
            • New Guide – The Ultimate Guide to Multi-Agent Generative Systems
            • The Ultimate Guide To Predictive Analytics
            • Part 4 – Pioneering Progress | Real-World Applications of Multi-Agent Generative Systems
            • Scaling Multi-Agent Systems with Data Pipelines: Solving Real-World Industrial Challenges
          • 2023
            • How to master Predictive Analytics using Composable Digital Twins
            • Accelerate Your AI Workflow: The 3 Key Business Advantages of XMPro Notebook
            • The Roadmap to Intelligent Digital Twins
            • What is edge computing, and how can digital twins utilize this technology?
            • THE TOP 5 USE CASES FOR COMPOSABLE DIGITAL TWINS IN RENEWABLES + HOW TO SUPERCHARGE RESULTS WITH AI
            • The Technology Behind Predictive Maintenance (PdM) : Hardware & Software
            • The Benefits of Using Digital Twins in Smart Manufacturing
            • XMPro I3C Intelligent Digital Twins Strategy Framework
            • The TOP 5 use cases for composable digital twins in mining – and how to use AI to supercharge result
            • The TOP 5 use cases for Composable Digital Twins in the Oil & Gas industry
            • Why Decision Intelligence with Digital Twins is “kinda like” DCS for Automation and Control
            • XMPro becomes an NVIDIA Cloud-Validated partner
            • From Reactive to Predictive : Introduction to Predictive Maintenance
            • Microsoft Azure Digital Twins : Everything You Need To Know
            • Unlocking Efficiency: The Right Time & Strategy to Launch Your Digital Twin for Enhanced Asset Manag
            • Revolutionize Your Supply Chain: How Digital Twins Can Boost Efficiency and Cut Costs
          • 2022
            • Create a Common Operating Picture of Your Operations with XMPro
            • 7 Trends for Industrial Digital Twins in 2022
            • How to Build a Digital Twin + 60 Use Cases By Industry
            • What are composable digital twins in the metaverse?
          • 2021
            • The Value of a Composable Digital Twin
          • 2020
            • Lean Digital Twin: Part 2
            • Digital Twin: Your Most Productive Remote Worker
            • From the Control Room to the Bedroom
            • Lean Digital Twin: Part 3
          • 2019
            • My Digital Twin: Digital Twin Applications for Real-time Operations (Like Me)
          • 2018
            • XMPro IoT Operational Capability Survey Results 2018
            • What is a Digital Business Platform and Why Should I Care?
            • [Robotic] Process Automation for IoT
            • 3 Patterns of Industrial IoT Use Cases
            • The CXO’s Guide to Digital Transformation – May The Five Forces Be With You
            • Is Security More Important Than Trustworthiness for Industrial IoT?
            • XMPro at bpmNEXT 2018: Watch The Presentation
          • 2017
            • The Top 5 Reasons to Invest in an IIoT Development Platform
            • IoT Business Solutions Start with Big Data & Create Business Outcomes
            • How AI Bots Bring Digital Twins to Life
          • 2016
            • How To Get Started With Industrial IoT
            • How To Overcome The Top 5 Challenges To Industrial IoT Adoption
            • What is an IoT Platform vs. an IoT Business Application Suite?
            • Industrial IoT: How To Get Started with Predictive Maintenance
            • 3 Ways The Internet of Things is Transforming Field Service
            • 7 Types of Industrial IoT Data Sources (And How To Use Them)
          • 2015
            • How Important Are Processes To The Internet Of Things?
            • Understanding the Value of Real Time KPI Management as Your Next Strategic Project
            • 6 Myths About Machine Learning
            • 10 Predictive Analytics Use Cases By Industry
            • What is a “Business Moment” in your business?
            • Does Operational Intelligence Make Business Intelligence Obsolete?
            • How To Reduce Operational Costs by 36% with Predictive Analytics
            • From Many, One – The Nature of Complex Event Processing
            • Herding Cats: What Enterprise Architects need to know about Business Process Management
          • 2014
            • Making Business Operations More Intelligent
          • 2013
            • Best Next Action Is The Next Big Thing For Intelligent Operations
            • The learns from two ‘Best in class’ organisations acquiring BPM technology
          • 2012
            • Why Intelligent Business Operations is Mobile, Social and Smart
            • Why Do You Want Intelligent Business Operations?
            • How big of a problem are ‘dark processes’?
            • Operational Risk: When You Stick Your Head In The Sand
            • The Difference Between Event-based And Workflow-based Processes
          • 2011
            • Is mobile BPM now essential to the business?
            • Stretch Socially Dynamic Processes To Fit Your Business
            • Social Listening – Get Control Of The Conversation
            • Operations Management – The Keys To KPIs
            • Benefits of BPM v 1.0
            • How to Prioritise Processes
          • 2010
            • The Business Drivers
            • Preserving Capability and Agility
            • Mobile BPM
        • Use Cases
          • Aging Pipe Predictive Maintenance in Water Utilities
          • Air Quality Monitoring For Agriculture
          • Alarm Management and Triage
          • Asset Condition Monitoring for Surface Processing Plants in the Mining Industry
          • Bogie Health Monitoring in the Rail Industry
          • Boiler Feed Water Pumps
          • CHPP Throughput Loss Monitoring
          • Casting Guidance
          • Conveyor Belt System Monitoring and Optimization in Automotive Manufacturing
          • Cooling Tower Fin Fan Monitoring
          • Cyclone/Slurry Pump Monitoring
          • Demand Planning to Reduce Stockholding in Stores
          • Demin Water Monitoring for Boiler Tube Corrosion
          • EV Battery Assembly Process Optimization for the Car Manufacturing Industry
          • Flood Prediction & Response in Water Utilities
          • Golden Batch For Culture Addition In The Dairy processing Industry.
          • Golden Batch Monitoring
          • Improve First Pass Yield (FPY)
          • Induced Draft (ID) Fan Monitoring
          • Long Conveyor Monitoring
          • Monitor Process Health to Reduce Cash-to-Cash Cycle
          • Monitor Storm Water Reservoirs For Flood Prevention
          • Monitor and Reduce Energy Consumption
          • Oil Well Maintenance Planning
          • Oil Well RTP Monitoring
          • Pipe Scaling Prediction for Roller Cooling
          • Precision Irrigation in Agriculture
          • Predict Heat Exchanger Fouling
          • Predictive Maintenance & Asset Health Monitoring For Haul Trucks In The Mining Industry
          • Predictive Maintenance For Mobile Assets Within The Mining Industry
          • Predictive Maintenance for Robotic Arms in the Automotive Industry
          • Predictive Maintenance for Wind Turbines
          • Pump Health Monitoring in Water Utilities
          • Pumping Station OEE
          • Real-time Balanced Business Scorecard (BBS)
          • Real-time Safety Monitoring
          • Short Term Inventory Planning
          • Strategic Performance & Safety Oversight for Global Mining Operations
          • Wheel and Track Wear Monitoring In The Rail Industry
          • Wind Turbine Performance Optimization
        • Youtube
          • 2024
            • Discover Gen AI Powered Operations With XMPro iBOS
            • Generative AI and Digital Twins in 2024 - XMPro Webinar
            • Go From Reactive To Predictive Operations In Water Utilities With XMPro iDTS
            • How to add Timestamps to Elements in XMPro App Designer
            • How to Build an AI Advisor for Industrial Operations Using XMPro
            • How XMPro Stream Hosts and Collections Enable Scalable, Real-Time Data Processing
            • Mind Blowing AI Agentic Operations For Industry With XMPro MAGS
            • The Ultimate Beginner's Guide To Predictive Analytics Podcast
            • XMPro's Flexible Deployment Options: Flexible Cloud & On-Premise Solutions For Industry
            • XMPro iBOS: The Only AI-Powered Suite for Scalable Intelligent Operations
          • 2023
            • 2023 XMPro Product Roadmap - Webinar
            • An Introduction To Intelligent Digital Twins - Webinar
            • Energy and Utilities Asset Optimisation through Digital Twin technology
            • Explore Model Governance using our MLflow Agent
            • Exploring XMPro Notebook and MLflow for Data Science and Model Governance
            • How Changing Properties For One Block Can Be Applied To All Blocks Within Same Style Group
            • How do I Use A Button To Update a Data Source In XMPro App Designer
            • How Does XMPro Compare To ESBs (Enterprise Service Buses)-
            • How to Configure and Integrity Check in Data Streams
            • How To Create A Widget Within XMPro App Designer
            • How to Create Intelligent Digital Twins Using XMPro AI
            • How to export grid data to Excel In XMPro App Designer
            • How to Revolutionize Your Supply Chain with Digital Twins
            • How To Rotate Text In App Designer
            • How To Update a Data Source Using A Button
            • How To Use & Clone XMPro Demos For Your Own Use
            • How To Use And Build 3rd Party Apps To Extend The Capabilities Of The XMPro App Designer.
            • How to use Avatars and why they are important
            • How to view stream host logs In XMPro Data Stream Designer
            • Logging Provider Support With XMPro
            • Mastering Health Check Endpoints: A Guide to Ensuring Service Uptime and Performance with XMPro
            • Mastering Root Cause Analysis with XMPro: Capture, Value, Impact
            • Microsoft Azure Digital Twins Everything You Need To Know
            • Model Based Predictive Maintenance (PdM) With XMPro
            • Monthly Webinar - Accelerate your digital twin use cases - XMPro Blueprints, Accelerators & Patterns
            • Optimizing Time Series Chart (TSC) Performance
            • Predictive Maintenance & Condition Monitoring - A Hot Seat Q&A Session
            • Predictive Maintenance with XMPro iDTS
            • Smart Facilities Management with Intelligent Digital Twins
            • The Benefits of using Digital Twins in Smart Manufacturing
            • The Four Industrial Revolutions Explained In Under 4 Minutes! #industry4 #smartmanufacturing
            • The Roadmap To Intelligent Digital Twins
            • The Technology Behind Predictive Maintenance (PdM) - The Hardware & Software that makes PdM Tick...
            • THE TOP USE CASES FOR COMPOSABLE DIGITAL TWINS IN RENEWABLES
            • Tips on how to use cache in agent configuration and get live updates
            • Webinar - XMPro 4.3 Release Showcase
            • What is a Digital Twin- Why Composable Digital Twins is the Future.
            • What Is Predictive Maintenance- (PdM)
            • What To Do When a Data Source Is Not Showing in Pass Page Parameter
            • XMPro - The World's Only AI - Powered Intelligent Digital Twin Suite
            • XMPro - The World's Only No Code Digital Twin Composition Platform
            • XMPro AI : How It Works
            • XMPro AI End To End Use Case
            • XMPro Auto Scale - Understanding Distributed Caching for Cloud-Native Applications
            • XMPro Promo Video - Dell Validated Design For Manufacturing Edge
          • 2022
            • Aggregate Transformation Agent Example - XMPRO Data Stream Designer
            • App Layout Best Practices for Desktop & Mobile - XMPro Lunch & Learn
            • Broadcast Transformation Agent Example - XMPRO Data Stream Designer
            • Calculated Field Transformation Agent Example - XMPRO Data Stream Designer
            • CRC16 Function Agent Example - XMPRO Data Stream Designer
            • Create a Common Operating Picture of Your Operations with XMPro
            • CSV Context Provider Agent Example - XMPro Data Stream Designer
            • CSV Simulator Agent Example - XMPRO Data Stream Designer
            • CSV Writer Agent Example - XMPRO Data Stream Designer
            • Data Conversion Transformation Agent Example - XMPro Data Stream Designer
            • Digital Twin Strategy To Execution Pyramid - XMPro Webinar
            • Event Printer Action Agent Example - XMPRO Data Stream Designer
            • File Listener Agent Example - XMPRO Data Stream Designer
            • Filter Transformation Agent Example - XMPRO Data Stream Designer
            • Group & Merge Transformation Agent Example - XMPRO Data Stream Designer
            • How To Bind Data To A Chart and Get It Working As Expected - XMPro Lunch & Learn
            • How To Send Data To My App (Including Caching Introduction) - XMPro Lunch & Learn
            • Join Transformation Agent Example - XMPRO Data Stream Designer
            • Min/Max Function Agent Example - XMPRO Data Stream Designer
            • PART 1- How To Manage Complex Operations in Real-time Using Composable Digital Twins
            • PART 3 - How To Manage Complex Operations in Real-time Using Composable Digital Twins
            • PART2 - How To Manage Complex Operations in Real-time Using Composable Digital Twins
            • Pass Through Agent Example - XMPRO Data Stream Designer
            • Pivot Table Transformation Agent Example - Count - XMPRO Data Stream Designer
            • Pivot Table Transformation Agent Example - Sum - XMPRO Data Stream Designer
            • Real-Time Is Real - How To Use Event Intelligence Tools to Manage Complex Operations in Real-time.
            • Row Count Agent Example - XMPRO Data Stream Designer
            • Sort Transformation Agent Example - XMPRO Data Stream Designer
            • Transpose Transformation Agent Example - Columns - XMPRO Data Stream Designer
            • Transpose Transformation Agent Example - Rows - XMPRO Data Stream Designer
            • Trim Name Transformation Agent Example - XMPRO Data Stream Designer
            • Twilio Action Agent Example - XMPRO Data Stream Designer
            • Union Transformation Agent Example - XMPRO Data Stream Designer
            • Variables & Expressions in App Designer - XMPro Lunch & Learn
            • Window Transformation Agent Example - XMPRO Data Stream Designer
            • XML File Reader Action Agent Example - XMPRO Data Stream Designer
          • 2021
            • The Value of a Composable Digital Twin - XMPro Webinar
          • 2020
            • 1. Understanding The Problem - UX Design - XMPRO
            • 1.1 Welcome - XMPRO UI Design Basics
            • 1.2 Introduction To UI Design - XMPRO UI Design Basics
            • 2. Creating User Stories - UX Design - XMPRO
            • 2.1 Responsive Design - XMPRO UI Design Basics
            • 2.2 Grids - XMPRO UI Design Basics
            • 2.3 Visual Hierarchy - XMPRO UI Design Basics
            • 2.4 Wireframes - XMPRO UI Design Basics
            • 3. Creating User Flow Diagrams - UX Design - XMPRO
            • 3.1 Color Palette - XMPRO UI Design Basics
            • 3.2 Typography - XMPRO UI Design Basics
            • 3.3 White Space - XMPRO UI Design Basics
            • 3.4 UI Elements - XMPRO UI Design Basics
            • 4. Plan Your App with Wireframes - UX Design - XMPRO
            • 4.1 Chart Types - XMPRO UI Design Basics
            • 4.2 Chart Styling - XMPRO UI Design Basics
            • 5. Designing for Dynamic Data - UX Design - XMPRO
            • Agents and Their Types - XMPRO Data Stream Designer
            • Data Wrangling: Row Transpose - XMPRO Data Stream Designer
            • Digital Twin: Your Most Productive Remote Worker - XMPRO Webinar
            • End-To-End Real-Time Condition Monitoring Demo - XMPRO Application Development Platform
            • Error Endpoints - XMPRO Data Stream Designer
            • Export and Import Recommendations - XMPRO App Designer
            • How To Add Buttons To Agents - XMPRO Data Stream Designer
            • How To Add EditLists to Agents - XMPRO Data Stream Designer
            • How To Change UI Language - XMPRO Subscription Manager
            • How To Configure a Stream Object - XMPRO Data Stream Designer
            • How To Configure The Aggregate Transformation - XMPRO Data Stream Designer
            • How To Configure The Anomaly Detection Agent - XMPRO Data Stream Designer
            • How To Configure The Azure SQL Action Agent - XMPRO Data Stream Designer
            • How To Configure The Azure SQL Context Provider - XMPRO Data Stream Designer
            • How To Configure The Azure SQL Listener - XMPRO Data Stream Designer
            • How To Configure The Calculated Field Transformation - XMPRO Data Stream Designer
            • How To Configure The CSV Context Provider - XMPRO Data Stream Designer
            • How To Configure The CSV Listener - XMPRO Data Stream Designer
            • How To Configure The Data Conversion Transformation - XMPRO Data Stream Designer
            • How To Configure The Edge Analysis Transformation - XMPRO Data Stream Designer
            • How To Configure The Email Action Agent - XMPRO Data Stream Designer
            • How To Configure The Email Listener - XMPRO Data Stream Designer
            • How To Configure The Event Printer Action Agent - XMPRO Data Stream Designer
            • How To Configure The Event Simulator Listener - XMPRO Data Stream Designer
            • How To Configure The FFT Function - XMPRO Data Stream Designer
            • How To Configure The File Listener - XMPRO Data Stream Designer
            • How To Configure The Filter Transformation - XMPRO Data Stream Designer
            • How To Configure The IBM Maximo Action Agent - XMPRO Data Stream Designer
            • How To Configure The IBM Maximo Context Provider - XMPRO Data Stream Designer
            • How To Configure The IBM Maximo Listener - XMPRO Data Stream Designer
            • How To Configure The Join Transformation - XMPRO Data Stream Designer
            • How To Configure The JSON File Reader Context Provider - XMPRO Data Stream Designer
            • How To Configure The MQTT Action Agent - XMPRO Data Stream Designer
            • How To Configure The MQTT Advanced Action Agent - XMPRO Data Stream Designer
            • How To Configure The MQTT Advanced Listener - XMPRO Data Stream Designer
            • How To Configure The MQTT Listener - XMPRO Data Stream Designer
            • How To Configure The Normalize Fields Function - XMPRO Data Stream Designer
            • How To Configure The OSIsoft PI Context Provider - XMPRO Data Stream Designer
            • How To Configure The OSIsoft PI Listener - XMPRO Data Stream Designer
            • How To Configure The Pass Through Transformation - XMPRO Data Stream Designer
            • How To Configure The PMML Agent - XMPRO Data Stream Designer
            • How To Configure The REST API Context Provider - XMPRO Data Stream Designer
            • How To Configure The RScript Agent - XMPRO Data Stream Designer
            • How To Configure The Run Recommendation Agent - XMPRO Data Stream Designer
            • How To Configure The Signal Filter - XMPRO Data Stream Designer
            • How To Configure The SQL Server Action Agent - XMPRO Data Stream Designer
            • How To Configure The SQL Server Context Provider - XMPRO Data Stream Designer
            • How To Configure The SQL Server Listener - XMPRO Data Stream Designer
            • How To Configure The SQL Server Writer Action Agent - XMPRO Data Stream Designer
            • How To Configure The Twilio Action Agent - XMPRO Data Stream Designer
            • How To Configure The Union Transformation - XMPRO Data Stream Designer
            • How To Configure The Unzip Function - XMPRO Data Stream Designer
            • How To Configure The Window Transformation - XMPRO Data Stream Designer
            • How To Create an App - XMPRO App Designer
            • How To Create and Manage Templates - XMPRO App Designer
            • How To Create and Publish a Use Case - XMPRO Data Stream Designer
            • How To Create and Use a Widget - XMPRO App Designer
            • How To Create App Data Connections - XMPRO App Designer
            • How To Create App Pages and Navigation - XMPRO App Designer
            • How To Create Recommendation Rules - XMPRO App Designer
            • How To Create Recurrent Data Streams - XMPRO Data Stream Designer
            • How To Do Integrity Checks - XMPRO Data Stream Designer
            • How To Edit Page Properties - XMPRO App Designer
            • How To Enable Audit Trails - XMPRO App Designer
            • How to Export, Import, and Clone a Data Stream - XMPRO Data Stream Designer
            • How To Export, Import and Clone an App - XMPRO App Designer
            • How to Export and Import an App - XMPRO App Designer
            • How To Find Help for an Agent - XMPRO Data Stream Designer
            • How To Install The XMPRO App Designer
            • How To Maintain and Capture Notes - XMPRO App Designer
            • How To Manage Agents - XMPRO Data Stream Designer
            • How To Manage and Use Server Variables - XMPRO Data Stream Designer
            • How To Manage Buffer Size - XMPRO Data Stream Designer
            • How to Manage Categories - XMPRO App Designer
            • How To Manage Categories - XMPRO Data Stream Designer
            • How To Pass Parameters Between Pages - XMPRO App Designer
            • How To Publish and Share an Application - XMPRO App Designer
            • How To Set Up and Use Charts in Live View - XMPRO Data Stream Designer
            • How To Set Up and Use Gauges in Live View - XMPRO Data Stream Designer
            • How To Share a Data Stream - XMPRO Data Stream Designer
            • How To Share a Use Case - XMPRO Data Stream Designer
            • How To Share an App For Design Collaboration - XMPRO App Designer
            • How To Troubleshoot a Use Case - XMPRO Data Stream Designer
            • How To Upgrade a Stream Object Version - XMPRO Data Stream Designer
            • How To Use App Files - XMPRO App Designer
            • How To Use Application Versions - XMPRO App Designer
            • How To Use Bar Gauge - XMPRO App Designer
            • How To Use Calendar - XMPRO App Designer
            • How To Use Chart Pan, Zoom and Aggregation - XMPRO App Designer
            • How To Use Chart Panes and Axes - XMPRO App Designer
            • How To Use Chart Print and Export- XMPRO App Designer
            • How To Use Charts - XMPRO App Designer Toolbox
            • How To Use Charts: Series - XMPRO App Designer
            • How To Use Collections - XMPRO Data Stream Designer
            • How To Use Content Card - XMPRO App Designer
            • How To Use D3 - XMPRO App Designer
            • How To Use Data Sources - XMPRO App Designer
            • How To Use Embedded Pages - XMPRO App Designer Toolbox
            • How To Use Fieldset and Field - XMPRO App Designer Toolbox
            • How To Use Flex Layout
            • How To Use Form Validation - XMPRO App Designer Toolbox
            • How To Use Input Mappings - XMPRO Data Stream Designer
            • How To Use Linear Gauges - XMPRO App Designer
            • How To Use Live View - XMPRO Data Stream Designer
            • How To Use Lookup - XMPRO App Designer
            • How To Use Maps - XMPRO App Designer
            • How To Use Page Layers - XMPRO App Designer
            • How To Use Pivot Grid - XMPRO App Designer
            • How To Use Polar Charts - XMPRO App Designer
            • How To Use Power BI - XMPRO App Designer
            • How To Use Radio Buttons - XMPRO App Designer Toolbox
            • How To Use Recommendations - XMPRO App Designer Toolbox
            • How To Use Select Box - XMPRO App Designer
            • How To Use Stacked Layouts - XMPRO App Designer Toolbox
            • How To Use Stream Host Local Variables - XMPRO Data Stream Designer
            • How To Use Tabs - XMPRO App Designer Toolbox
            • How To Use Tags - XMPRO App Designer Toolbox
            • How To Use Templated List - XMPRO App Designer
            • How To Use Templates - XMPRO App Designer
            • How To Use Text - XMPRO App Designer Toolbox
            • How To Use Text Area - XMPRO App Designer Toolbox
            • How To Use The Accordion - XMPRO App Designer Toolbox
            • How To Use The Block Styling Manager - XMPRO App Designer
            • How To Use The Box and Data Repeater Box - XMPRO App Designer Toolbox
            • How To Use The Button - XMPRO App Designer Toolbox
            • How To Use The Circular Gauge - XMPRO App Designer Toolbox
            • How To Use The Data Grid - XMPRO App Designer Toolbox
            • How To Use The HTML Editor - XMPRO App Designer Toolbox
            • How To Use The Hyperlink and Box Hyperlink - XMPro App Designer Toolbox
            • How To Use The Image - XMPRO App Designer Toolbox
            • How To Use The Indicator - XMPRO App Designer Toolbox
            • How To Use The Layout Grid - XMPRO App Designer Toolbox
            • How To Use The Number Selector - XMPRO App Designer Toolbox
            • How To Use The Pie Chart - XMPRO App Designer Toolbox
            • How To Use The Range Slider - XMPRO App Designer Toolbox
            • How To Use The Recommendation Chart - XMPRO App Designer Toolbox
            • How To Use The Scroll Box - XMPRO App Designer Toolbox
            • How To Use The Select Box - XMPRO App Designer Toolbox
            • How To Use The Sparkline - XMPRO App Designer Toolbox
            • How To Use The Textbox - XMPRO App Designer Toolbox
            • How To Use Tree Grid - XMPRO App Designer
            • How To Use Tree List - XMPRO App Designer
            • How To Use Unity - XMPRO App Designer Toolbox
            • How To Use Variables - XMPRO App Designer
            • How To Write and Maintain Notes and Business Case - XMPRO Data Stream Designer
            • Interactive 3D Models For Digital Twins - XMPRO Event Intelligence Platform
            • Manage Input Arrow Highlights - XMPRO Data Stream Designer
            • Manage Recommendation Access - XMPRO App Designer
            • Realize Value from End-To-End Condition Monitoring in 6 - 8 Weeks - XMPRO
            • Recommendation Versions - XMPRO App Designer
            • Solution Development Process For Event Intelligence Apps - XMPRO
            • Stream Hosts and How To Install Them - XMPRO Data Stream Designer
            • Use Case Versioning - XMPRO Data Stream Designer
            • XMPRO App Designer Overview - Event Intelligence Applications
            • XMPRO Data Stream Designer - Event Intelligence Applications
            • XMPRO Real-Time Event Intelligence Demo
            • XMPRO Recommendations - Event Intelligence Applications
          • 2019
            • Data Distribution Service: Using DDS in Your IoT Applications
            • My Digital Twin: Digital Twin Applications For Real-Time Operations (Like Me)
            • Setting up a Typical Industrial IoT Use Case with XMPro
            • XMPro Overview & Fin Fan Failure Demo
          • 2016
            • XMPro iBPMS Overview
          • 2013
            • XMPro Best Next Action - 3 Examples for XMPro blog
            • XMPro Case Management Example
            • XMPro Internet of Things Demo
          • 2012
            • Is Agile Business the New Normal
            • The Future of BPM Moving Towards Intelligent Business Operations
            • What industries does XMPro serve-
            • Who is XMPro for-
            • XMPro - The Social Listener - Why You Should Be Listening.wmv
            • XMPro Cool Vendor 2012
            • XMPro iBPMS For SharePoint
            • XMPro iBPMS v6 XMWeb for Intelligent Business Operations
            • XMPro News and Gartner BPM Sydney Summit Discount Offer.mp4
            • XMPro Version 6 - Introducing the Next Generation BPM for Intelligent Business Operations
    • Practice Notes
      • Unified Recommendation Alert Management
      • Performant Landing Pages in Real-Time Monitoring
  • Concepts
    • XMPro AI
      • XMPro Notebook
    • Data Stream
      • Stream Object Configuration
      • Verifying Stream Integrity
      • Running Data Streams
      • Timeline
    • Collection and Stream Host
    • Agent
      • Virtual vs Non-Virtual Agents
    • Application
      • Template
      • Page
      • Block
      • Canvas
      • Page Layers
      • Block Styling
      • Devices
      • Flex
      • Block Properties
      • Data Integration
      • Navigation and Parameters
      • Variables and Expressions
      • App Files
      • Metablocks
    • Recommendation
      • Rule
      • Execution Order
      • Auto Escalate
      • Form
      • Action Requests
      • Notification
      • Recommendation Alert
      • Deleted Items
      • Scoring
    • Connector
    • Landing Pages & Favorites
    • Version
    • Manage Access
    • Category
    • Variable
    • Insights
      • Data Delivery Insights
  • How-To Guides
    • Data Streams
      • Manage Data Streams
      • Manage Collections
      • Use Remote Receivers and Publishers
      • Manage Recurrent Data Streams
      • Use Business Case and Notes
      • Run an Integrity Check
      • Check Data Stream Logs
      • Use Live View
      • Use Stream Metrics
      • Troubleshoot a Data Stream
      • Upgrade a Stream Object Version
      • Setup Input Mappings
      • Use Error Endpoints
      • Use the Timeline
      • Context Menu
    • Application
      • Manage Apps
      • Manage Templates
      • Manage Pages
      • Import an App Page
      • Design Pages for Mobile
      • Navigate Between Pages
      • Pass Parameters Between Pages
      • Page Data
      • Manage Connections
      • Check Connector Logs
      • Manage Data Sources
      • Use Data Sources in the Page
      • Use Dynamic Properties
      • Use Expression Properties
      • Use Page Layers
      • Use Block Styling and Devices
      • Use Flex
      • Use Validation
      • Use Variables & Expressions
      • Create and Maintain Notes
      • Manage Widgets
      • Manage App Files
      • Manage Themes
    • Recommendations
      • Manage Categories
      • Manage Recommendations
      • Manage Rules
      • Manage Notifications
      • Manage Notification Templates
      • Subscribe to Notifications
      • Manage Forms
      • Manage Variables
      • Manage Alerts
      • Manage Alerts on Mobile
      • Manage Deleted Recommendation Items
    • Connectors
      • Manage Connectors
      • Building Connectors
      • Packaging Connectors
    • Stream Host
    • Agents
      • Manage Agents
      • Building Agents
      • Packaging Agents
      • Debugging an Agent
    • Manage Versions
    • Manage Access
    • Manage Categories
    • Manage Variables
    • Import, Export, and Clone
    • Publish
      • Admin Unpublish Override
    • Manage Site Settings
    • Manage Landing Pages & Favorites
  • Blocks
    • Common Properties
    • Layout
      • Accordion
      • Box & Data Repeater Box
      • Card & Content Card
      • Field & Fieldset
      • Layout Grid
      • Menu
      • Scroll Box
      • Stacked Layout Horizontal & Vertical
      • Tabs
      • Templated List
      • Toolbar
    • Basic
      • Calendar
      • Check Box
      • Color Selector
      • Data Grid
      • Date Selector
      • Dropdown Grid
      • Embedded Page
      • File Library
      • File Uploader
      • Html Editor
      • Image
      • Indicator
      • List
      • Lookup
      • Number Selector
      • Radio Buttons
      • Range Slider
      • Select Box
      • Switch
      • Tags
      • Text
      • Text Area
      • Textbox
      • Tree Grid
      • Tree List
    • Device Input
      • Location Capture
      • Visual Media Capture
    • AI
      • Azure Copilot
      • ChatGPT Copilot
    • Actions
      • Box Hyperlink
      • Button
      • Data Operations
      • Hyperlink
    • Recommendations
      • Alert Action
      • Alert Analytics
      • Alert Discussion
      • Alert Event Data
      • Alert Form
      • Alert List
      • Alert Timeline
      • Alert Triage
      • Alert Survey
      • Recommendation Chart
    • Visualizations
      • Autodesk Forge
      • Azure Digital Twin Hierarchy
      • Bar Gauge
      • Chart
      • Circular Gauge
      • D3 Visualization
      • Esri Map
      • Image Map
      • Linear Gauge
      • Live Feed
      • Map
      • Pie Chart
      • Pivot Grid
      • Polar Chart
      • Power BI
      • Sparkline
      • Time Series Analysis
      • Tree Map
      • Unity
      • Unity (Legacy)
    • Advanced
      • Metablock
    • Widgets
  • Administration
    • Administrative Accounts
    • Language
    • Companies
      • Register a Company
      • Manage a Company
      • Manage Company Subscriptions
      • Manage License
    • Subscriptions
      • Manage User Access
      • Setup Auto Approval/Default Subscriptions
      • Request and Apply a License
    • Users
      • Invite a User
      • Register an Account
      • Profile
      • Change Password
      • Reset Password
      • Delete a User
      • Change Business Role
  • Installation
    • Overview
    • 1. Preparation
    • 2. Install XMPro
      • Azure
      • AWS
      • On-Premise
    • 3. Complete Installation
      • Configure Auto Scale (Optional)
      • Configure Health Checks (Optional)
      • Configure Logging (Optional)
      • Configure SSO (Optional)
        • SSO - Azure AD
        • SSO - ADFS
      • Create Base Company
      • Install Stream Host
        • Windows x64
        • Azure Web Job
        • Ubuntu 20.04 x64
        • Docker
      • Install Agents & Connectors
  • Release Notes
    • v4.4.18
    • v4.4.17
    • v4.4.16
    • v4.4.15
    • v4.4.14
    • v4.4.13
    • v4.4.12
    • v4.4.11
    • v4.4.10
    • v4.4.9
    • v4.4.8
    • v4.4.7
    • v4.4.6
    • v4.4.5
    • v4.4.4
    • v4.4.3
    • v4.4.2
    • v4.4.1
    • v4.4.0
    • Archived
      • v4.3.12
      • v4.3.11
      • v4.3.10
      • v4.3.9
      • v4.3.8
      • v4.3.7
      • v4.3.6
      • v4.3.5
      • v4.3.4
      • v4.3.3
      • v4.3.2
      • v4.3.1
      • v4.3.0
        • v4.2.3
        • v4.2.2
        • v4.2.1
      • v4.2.0
      • v4.1.13
      • v4.1.0
      • v4.0.0
Powered by GitBook
On this page
  • Why Solving the Problem Doesn’t Solve the Problem: The Importance of Scalable Intelligent Operations with XMPro iBOS
  • Why Solving the Problem Doesn’t Solve the Problem:
  • The Importance of Scalable Intelligent Operations with XMPro iBOS
  • Introduction
  • The Challenge:
  • Alternative Approaches
  • Theory Of Constraints
  • The Need for a Unified Approach:
  • In the Perfect World
  • Introducing XMPro
  • How Does XMPro Enable Scalable Intelligent Operations?
  • Case Studies: Successful Implementations of XMPro iBOS
  • Conclusion and Next Steps

Was this helpful?

Export as PDF
  1. Resources
  2. FAQs
  3. External Content
  4. Blogs
  5. 2024

Why Solving the Problem Doesn’t Solve the Problem: The Importance of Scalable Intelligent Operations

PreviousHow to Build Multi-Agent Systems for IndustryNextContent, Decision, and Hybrid: The Three Pillars of Multi-Agent Systems in Industry

Last updated 6 days ago

Was this helpful?

,

Why Solving the Problem Doesn’t Solve the Problem: The Importance of Scalable Intelligent Operations with XMPro iBOS

Posted on by

Why Solving the Problem Doesn’t Solve the Problem:

The Importance of Scalable Intelligent Operations with XMPro iBOS

Introduction

In today’s fast-paced industrial landscape, companies are under immense pressure to optimize operations and drive efficiency. The demand for real-time insights, seamless integration, and scalable solutions has never been more critical.\

The Challenge:

Industrial companies need to build new Intelligent Operations and Process Solutions to address a variety of needs such as Condition Monitoring, Predictive Maintenance, Process Optimization, Asset Performance Management (APM), Asset Health, Golden Batch production and more.\

They must manage vast amounts of data from various sources, ensure timely and accurate decision-making, and maintain a competitive edge in a rapidly evolving market.

However, achieving these goals is far from straightforward. The complexity of modern industrial operations often results in siloed data, fragmented processes, and a lack of real-time visibility. These issues hinder the ability to make informed decisions and optimize operations effectively.\

Outdated Approaches:

Many businesses still rely heavily on manual, rule-based systems for their operational processes. These traditional methods lead to operational inefficiencies, limited insights, and a competitive disadvantage. The skills shortage in the industry further exacerbates these problems, making it clear that sticking with outdated processes is unsustainable.\

Additional Challenges:

  • Data Overload: Managing and analyzing massive amounts of data without the right tools.

  • Integration Issues: Complex and time-consuming integration of data from various sources and systems.

  • Real-Time Processing: Struggling to achieve real-time data processing and analytics for timely decision-making.

  • Scalability: Ensuring solutions can scale as companies grow.

  • Security Concerns: Protecting sensitive data and ensuring cybersecurity.

  • Regulatory Compliance: Adhering to industry regulations and standards.

  • Operational Downtime: Minimizing unplanned downtime with predictive maintenance.

  • Energy Efficiency: Improving energy efficiency and reducing environmental impact.

  • IT-OT Disconnect: Bridging the gap between Information Technology (IT) and Operational Technology (OT) systems to ensure seamless data flow and unified operations.

The Need for Change:

It is evident that companies need a new approach—one that not only addresses immediate operational needs but also provides a scalable, unified framework for long-term success. The complexity and scale of modern industrial challenges demand solutions that integrate advanced AI, automation, and digital twins to empower rapid digital transformation and maintain a competitive edge.

By understanding these market insights and the inherent challenges, businesses can better appreciate the need for innovative solutions designed to transform industrial operations with intelligent, scalable, and integrated processes.\

Alternative Approaches

To tackle these challenges, many companies rely on point solutions and specialist consultants to build bespoke systems tailored to specific operational needs. These custom solutions are often designed to address immediate issues, but they come with inherent limitations.\

One of the primary challenges is the Theory of Constraints. As these bespoke solutions are developed, they frequently solve one bottleneck, only to reveal a new one, potentially leading to even worse performance if the new bottleneck is not addressed. For example, in the mining industry, a company might deploy an advanced predictive maintenance tool to monitor the health of conveyor belts. This tool can predict when a conveyor belt is likely to fail, allowing maintenance to be scheduled proactively, thereby reducing unplanned downtime. However, as the predictive maintenance tool optimizes conveyor belt performance and increases their capacity, a new bottleneck is revealed at the hoists. The hoists, which are not integrated with the predictive maintenance system, become the next point of failure as they cannot handle the increased load from the conveyors. This lack of integration results in fragmented data and disjointed processes, making it difficult to achieve a holistic view of operations and causing new inefficiencies to emerge.\

Theory Of Constraints

Moreover, as new solutions are required, the problem intensifies. Each new system, whether for process optimization, OEE tracking, or environmental monitoring, is typically built independently and lacks interoperability with existing tools. This creates a complex web of disconnected systems that fail to provide cohesive operational insights. Over time, maintaining and scaling these disparate solutions becomes increasingly challenging and expensive.

The complexity of managing these fragmented solutions often results in skyrocketing costs. Many man-hours are spent on building and manually integrating bespoke systems, leading to significant financial burdens. The continuous need for customization and manual updates further increases operational costs and resource allocation, diverting attention from strategic initiatives.

The disconnect between IT and OT systems further complicates the situation. IT focuses on data processing and cybersecurity, while OT is concerned with physical processes and machinery. This separation can lead to integration challenges, data silos, inconsistent insights, and operational delays, making it difficult to achieve unified, real-time operational visibility.

The current approach to building operational and business process solutions is fundamentally flawed. Companies are forced to piece together point solutions and bespoke systems, leading to inefficiencies and a fragmented view of their operations. The reliance on manual, rule-based systems further exacerbates these issues, causing operational inefficiencies and limiting insights. This results in a competitive disadvantage as companies struggle to keep up with more modernized competitors.\

The Need for a Unified Approach:

What is needed is a comprehensive, integrated framework that can seamlessly unify these solutions. It also needs to provide the tools and capabilities for SMEs and consultants to build and compose these solutions in a scalable, integrated, and composable way. XMPro addresses these needs by offering a unified approach that supports both the integration of existing tools and the development of new, intelligent solutions. Our platform enables businesses to transition from outdated, manual processes to advanced, AI-driven operations that are efficient, insightful, and highly integrated.\

In the Perfect World

Imagine a perfect world where your operations are seamlessly integrated, and all your data flows freely across systems, providing real-time insights and a unified view of your business. In this ideal scenario, companies can rapidly advance in their digital transformation journey.\

Operations are enhanced with advanced analytics, AI, and machine learning, enabling proactive decision-making and predictive maintenance. Companies can anticipate issues before they arise, optimize processes continuously, and make data-driven decisions that improve strategic planning and operational effectiveness.

Automation reaches new heights, streamlining workflows and reducing manual intervention. Companies achieve significant efficiency gains, from individual assets to entire factories and enterprise systems. Automation ensures consistent, high-quality outputs and frees up human resources for more strategic tasks.

Solutions expand from individual assets to entire systems of systems, creating comprehensive digital twins that offer unparalleled visibility and control over every aspect of operations. This integrated approach ensures that all processes, from simple to complex, are managed effectively and efficiently, providing a holistic view of the entire operation.

Silos and fragmentation are eliminated, allowing for seamless integration and optimized processes. Companies can rapidly compose intelligent operations and process solutions that scale with their business needs. Whether deployed on-premise, in the cloud, or using a hybrid approach, XMPro ensures flexibility. Data streams can even run on the edge for real-time analysis, ensuring timely and actionable insights.

In this perfect world, companies leverage XMPro’s Co-Pilot and GenAI capabilities to interrogate real-time data and perform in-depth analysis. These advanced tools provide immediate insights, enabling businesses to respond swiftly to operational changes and make informed decisions with confidence.

In this perfect world, companies experience enhanced operational efficiency, reduced downtime, increased productivity, and improved competitiveness. They can respond swiftly to market changes, regulatory demands, and customer needs, ensuring sustained growth and success in a rapidly evolving industrial landscape.\

Introducing XMPro

Introducing XMPro iBOS, the world’s only AI-powered suite of tools and framework designed to rapidly compose integrated and intelligent business operations and process solutions at scale.

XMPro iBOS addresses the challenges of modern industrial operations by offering a scalable, integrated, and composable framework. With XMPro, you can rapidly build and deploy intelligent operations and process solutions. Our platform enables seamless integration of data from various sources, providing real-time insights and a unified view of your operations.

Advanced Analytics and AI:

XMPro enhances the intelligence of your operations through advanced analytics and AI. Our platform leverages machine learning, predictive analytics, and generative agents to enable proactive decision-making, anomaly detection, and predictive maintenance. By embedding AI into real-time data streams, XMPro allows you to anticipate and respond to operational challenges before they escalate.

Automation Capabilities:

Our automation capabilities streamline workflows and reduce manual intervention, leading to significant efficiency gains. XMPro supports event-driven automation and integrates seamlessly with robotic process automation (RPA) technologies, allowing you to automate routine tasks and focus on strategic initiatives.

Digital Twin Capabilities:

Additionally, XMPro expands the scope of your digital solutions from individual assets to entire systems of systems. Our digital twin capabilities provide comprehensive digital representations of physical assets and systems, enabling real-time monitoring, simulation, and optimization. This holistic view offers unparalleled visibility and control over every aspect of your operations.

Flexible Deployment:

XMPro can be deployed on-premise, in the cloud, or as a hybrid solution. This flexibility ensures that you can choose the deployment model that best fits your business needs. Moreover, data streams can run on the edge for real-time analysis, providing timely and actionable insights directly where they are needed most.

Co-Pilot and GenAI Capabilities:

XMPro’s Co-Pilot and GenAI capabilities enable users to interrogate real-time data and perform in-depth analysis effortlessly. These tools provide immediate, actionable insights and recommendations, empowering users to make informed decisions and optimize operations continuously.

Key Benefits:

By leveraging XMPro iBOS, companies can achieve rapid digital transformation, improving operational intelligence, automation, and the scope of their solutions, all within a unified, scalable framework. This transformative approach ensures that businesses remain competitive and thrive in a rapidly evolving industrial landscape.\

How Does XMPro Enable Scalable Intelligent Operations?

XMPro iBOS stands out by offering a suite of foundational capabilities that are underpinned by a framework that is trustworthy, secure, integrated, interoperable, real-time, and event-driven. These features form the bedrock of our platform, ensuring that your operations are built on a reliable and robust framework.\

Digital Transformation Across Three Critical Dimensions:

Let’s have a look at this use case matrix to illustrate how XMPro empowers companies to grow across three critical dimensions: Intelligence, Automation, and Digital Twin Scope.\

1.Intelligence:

The first axis, Intelligence, spans from rule-based systems to advanced AI and generative AI. XMPro’s AI capabilities bring intelligence to solution building by leveraging machine learning, natural language processing, and predictive analytics. The three levels of intelligence include the following:

  • Rule-Based Systems: These are foundational systems that follow predefined rules and logic to provide basic automation and decision-making.

  • Augmented AI: This level involves embedding AI models and algorithms into processes to enhance decision-making with real-time data and predictive analytics. It provides deeper insights and supports more complex decision-making scenarios.

  • Generative Agents: The highest level, incorporating advanced AI and machine learning models, including generative AI. These agents provide proactive recommendations, anomaly detection, and predictive maintenance, ensuring optimal operational performance.

Key modules that enhance intelligence include the following:

  • Data Stream Designer: Facilitates real-time data processing, allowing for scalable model management and MLOps by embedding models into the data stream. This can include in-house models running on-premise or cloud-based models such as OpenAI GPT variants, enhancing the overall intelligence of operations. This tool also supports granular rule-based recommendations and anomaly detection​.

  • XMPro AI: Leverages machine learning and predictive analytics to enable proactive decision-making, anomaly detection, and predictive maintenance. Features include embedded AI, generative AI, and augmented AI, providing real-time context and insights for decision-making and process optimization​​.

  • App Designer: Visually displays data from various sources as integrated and orchestrated within data streams, supporting comprehensive decision-making and enhancing the intelligence of operations. It features the Co-Pilot capability, which allows users to interrogate real-time data from assets and create custom real-time reports. The Co-Pilot can also notify plant managers of anomalies and predictive insights​​.

  • Recommendation Manager: Provides actionable insights and AI-generated predictive recommendation alerts that are intelligently ranked and actioned by criticality scoring. Recommendations can be triggered by large language models (LLMs) that poll and scan real-time data and results from anomaly detection and machine learning models. This capability is crucial for maintaining operational efficiency and effectiveness by providing timely, data-driven recommendations​​.

2.Automation:

The second axis, Automation, covers everything from human workflows to event streams and robotic process automation (RPA), culminating in fully autonomous operations. The three levels of automation include the following:

  • Basic Automation: This level includes simple rule-based automation for routine tasks, where human decision-making is still necessary within the workflow, reducing manual intervention and increasing efficiency.

  • Process Automation: Involves automating complex processes and workflows, integrating with various systems to streamline operations and improve efficiency.

  • Autonomous Operations: The highest level of automation, where advanced AI and machine learning drive fully autonomous operations, minimizing human intervention and optimizing processes in real-time.

Key modules that drive automation include the following:

  • Data Stream Designer: Enables real-time data processing and automation of routine tasks, automating data collection, analysis, and response mechanisms. It supports event-driven automation and seamless integration with various data sources, allowing for efficient and streamlined operations​​.

  • XMPro AI: Embeds AI models within data streams to automate decision-making processes and operational workflows, reducing manual intervention. It provides advanced analytics and predictive insights to support automated responses and optimization​.

  • App Designer: Allows users to create custom applications that automate workflows and streamline operations with a drag-and-drop interface for easy deployment of intelligent applications. It enables the visualization of automated processes and real-time monitoring of operations​​.

  • Recommendation Manager: Uses AI logic and business rules to offer prescriptive recommendations, ensuring continuous process improvement and operational efficiency. It provides real-time recommendations and alerts based on data analysis, helping to automate decision-making and optimize processes​​.

3.Digital Twin Scope:

The third axis, Digital Twin Scope, ranges from discrete entities to aggregated and complex entities. The three levels of digital twin scope include the following:

  • Discrete Entity: Digital representations of individual assets, providing visibility and control over their operations.

  • Aggregated Entity: Digital twins of combined assets, like a haul truck, enabling the monitoring and optimization of interconnected systems.

  • Complex Entities: Comprehensive digital twins of entire systems, offering a holistic view of complex operations and facilitating advanced simulation and optimization.

Key modules that enhance digital twin capabilities include the following:

  • Data Stream Designer: Manages real-time data streams from various sources, ensuring accurate and up-to-date digital representations of physical assets. Deployed by use case, it can be used across thousands of the same asset. Clients have seen great success by starting on use cases at the operational level, focusing on discrete assets where the business solution would have a high impact, then scaling out quickly to tactical solutions and finally strategic solutions. As companies build out datastreams per use case within a discrete asset or component, it is easy to integrate these datastreams into a composite digital twin. The same applies to systems of systems​​.

  • XMPro AI: Integrates AI models into these systems, ensuring continuous improvement and scalability from individual assets to entire interconnected systems. With MLOps and flexibility in model training, including TS foundation model utilization, XMPro AI facilitates rapid AI solution deployment​​.

  • App Designer: A no-code UI builder that allows companies to rapidly build integrated interfaces for their solutions at operational, tactical, and strategic levels. This flexibility ensures that solutions can easily and flexibly scale from discrete digital twins to systems of systems​.

  • Recommendation Manager: Increases scope by allowing sophisticated scoring rules for importance and criticality. Recommendations can be turned into actions that close the loop on event response, including work orders, notifications through email, SMS, collaboration software such as Microsoft Teams, ERP systems, and more. This scales from simple recommendations for a single asset to complex strategic-level views of entire systems of systems, ensuring the most critical recommendation alerts reach the correct employee or team for action​​.

Only XMPro enables companies to advance simultaneously across these three dimensions, providing a flexible and scalable framework that adapts to your evolving needs. By integrating intelligence, automation, and digital twin capabilities, XMPro delivers a unified solution that drives rapid digital transformation, optimizes processes, and fosters a comprehensive understanding of your business operations.

XMPro iBOS offers flexible deployment options, whether on-premise, in the cloud, or as a hybrid solution. This flexibility allows you to choose the deployment model that best fits your business needs. Additionally, data streams can run on the edge for real-time analysis, ensuring timely and actionable insights​​.

XMPro’s Co-Pilot and GenAI capabilities enable users to interrogate real-time data and perform in-depth analysis effortlessly. These tools provide immediate, actionable insights and recommendations, empowering users to make informed decisions and optimize operations continuously​.

By advancing across intelligence, automation, and digital twin scope, XMPro iBOS provides a unified, scalable framework that ensures your business remains competitive and thrives in a rapidly evolving market.\

Case Studies: Successful Implementations of XMPro iBOS

1. $4M Saved – Predictive Maintenance for Underground Long Conveyor

In this project, the challenge was to reduce the downtime of underground conveyors by 30%. XMPro introduced intelligence through real-time data monitoring and predictive analytics, monitoring 52 conveyors over 80 km. Automation was achieved by integrating with OSIsoft Historian and Oracle EAM, allowing complex engineering models to execute at 2-second intervals. The scope expanded from monitoring discrete assets (individual conveyors) to a composite digital twin of the entire conveyor system. This comprehensive monitoring and predictive maintenance strategy led to:

  • Preventing approximately 184 hours of downtime.

  • Identifying 44k tonnes of product worth $4M.

  • Achieving a 30% reduction in downtime.

Expansion: The success with conveyors allowed the company to scale their use cases, applying the same principles to other assets such as borers, crushers, pumps, fans, and overall management OEE, generating 72 million messages a day.

Measures of Success:

  • Time to Value: 30 days to deploy initial release, integration with OSIsoft Historian and Oracle EAM, and execution of complex engineering models at 2-second intervals.

  • Always On, Situational Awareness: Monitoring and analysis of 52 long conveyors every 2 seconds, real-time dashboards for decision support and automation.

  • Expert Knowledge Capture: Continuous analysis and recommendations integrated into predictive maintenance processes.

Benefits:

  • Intelligence: Real-time monitoring and predictive analytics.

  • Automation: Integration with existing systems and automated alerting.

  • Scope: From individual conveyors to an interconnected system of various assets.

  • Financial Impact: $4M in additional revenue due to reduced downtime.

2. $8M Savings in First 6 Months

This project aimed to increase the predictability of asset operations. XMPro enhanced intelligence by integrating disparate data and systems with field service maintenance, improving data-based decision-making. Automation was introduced to reduce truck rolls and improve asset utilization, with an 18% reduction in field service trips. The scope expanded from discrete assets to a strategic level view of operations.

The project resulted in:

  • $8M in documented savings in 6 months.

  • Achieving break-even in less than 4 weeks.

  • Improved asset integrity and utilization.

Measures of Success:

  • Time to Value: 3 months to deploy initial release, addressing data integrity issues, achieving break-even in less than 4 weeks.

  • Documented Savings: $8M in 6 months through Lean Sigma look back, reduced truck rolls, and improved asset utilization.

  • Cost and Safety: 18% reduction in field service trips, increased first-time fix rates, and improved safety.

  • Efficiency: 95% reduction in weekly maintenance schedule planning.

Benefits:

  • Intelligence: Enhanced data integration and decision-making.

  • Automation: Reduced field service trips and improved efficiency.

  • Scope: From individual assets to a strategic operational view.

  • Financial Impact: $8M in savings in 6 months.

3. 95% Reduction in Noise for Critical Assets

Engineers faced the challenge of being flooded with alarms, making it difficult to track critical events. XMPro’s solution introduced intelligence by scoring each event in real-time with company-defined models. Automation was achieved through the integration with OSIsoft Historian and real-time dashboards. The scope expanded from monitoring individual alarms to a system-wide view of critical event logs.

The project achieved:

  • A 95% reduction in scored traffic.

  • A 4X improvement in industry staffing ratio.

Measures of Success:

  • Time to Value: 30 days to deploy initial release, integration with OSIsoft Historian, and real-time evaluation and scoring of events every 2 minutes.

  • Always On, Situational Awareness: Single view of all critical event logs, auto-filter of irrelevant logs, continuous scoring and ranking of event logs, and real-time dashboards for decision support and automation.

Benefits:

  • Intelligence: Real-time scoring and filtering of events.

  • Automation: Continuous monitoring and alerting.

  • Scope: From individual alarms to a comprehensive event log system.

  • Financial Impact: Improved operational efficiency and reduced staffing costs.

Conclusion and Next Steps

XMPro iBOS offers a unified, scalable framework that addresses critical operational challenges by enhancing intelligence, automation, and digital twin scope. This comprehensive solution empowers businesses to optimize processes, improve decision-making, and achieve substantial cost savings.

Next Steps to Get Started:

  1. Discovery Call: Schedule a discovery call to discuss your business needs and determine if XMPro is the right fit for your organization.

  2. Use Case Exploration: Engage in detailed use case exploration calls to identify specific operational challenges and opportunities.

  3. Schedule a Demo: Experience XMPro iBOS in action by scheduling a personalized demo.

  4. Consult with Experts: Work with XMPro’s team to develop a tailored implementation plan.

\

Explore Pricing Options: Review the to understand the different packages and find the best fit for your needs.

Pilot Program: This 180 day program includes unlimited data streams, users, and connectors for integration, and is structured into three phases: Design & Configure, Run Pilot, and Review. Additional service/consulting and hosting costs apply. XMPro standard pricing will apply after the pilot/MVP period. More information here

XMPro Pricing Page
XMPro Pricing Page
Articles
Blog
June 1, 2024
Wouter Beneke
Watch Video Summary