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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
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  5. 2024

Mind Blowing AI Agentic Operations For Industry With XMPro MAGS

PreviousHow XMPro Stream Hosts and Collections Enable Scalable, Real-Time Data ProcessingNextThe Ultimate Beginner's Guide To Predictive Analytics Podcast

Last updated 6 days ago

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Welcome to the XMPro Future of Operations podcast, where Artificial Intelligence (AI) and Industry converge! In this episode, we're diving into XMPro MAGS (Multi-Agent Generative Systems), an AI-powered solution that takes intelligent operations to a whole new level. Join us as our AI co-hosts, Eve and Jarvis, guide us through this transformative journey.

What makes XMPro MAGS unique? Imagine having a team of virtual co-workers, each with their own specialty, powered by AI and constantly learning to get better at their tasks 24/7. XMPro MAGS isn't just software; it's a collaborative AI workforce that mimics how a real team operates, making smart decisions and learning from experience.

Key Features Discussed:

Memory Cycle: AI agents that learn by doing, improving their performance with each task. Vector and Graph Databases: Enabling AI to recognize patterns, make decisions, and understand complex systems. Real-World Applications: Examples from industries like manufacturing, water utilities, and IT infrastructure. Deontic Rules: Built-in safeguards to ensure AI agents operate ethically and within company guidelines. Reliability: Industrial-grade messaging protocols ensure these AI agents can handle noisy environments and data-heavy operations. From predictive maintenance in factories to real-time IT system monitoring, XMPro MAGS adapts to various industries, transforming operations and freeing human experts to focus on strategic decision-making.

Get to know XMPro APEX, the powerful platform that manages your AI agents from build to optimization. Whether it's data from the factory floor or complex IT infrastructure, XMPro MAGS ensures you have the right AI solution to tackle every challenge.

Ready to revolutionize your operations with AI? Dive into this episode and explore how XMPro MAGS is paving the way for intelligent, data-driven decision-making.

💡 Don't forget to like, share, and subscribe for more insights on how AI is transforming the future of operations!

#AI #XMProMAGS #DigitalTransformation #ArtificialIntelligence #Industry4 #IntelligentOperations #PredictiveMaintenance #DataDriven #futureofwork #AI #XMProMAGS #DigitalTransformation #ArtificialIntelligence #Industry40 #IntelligentOperations #PredictiveMaintenance #DataDriven #FutureOfWork #SmartManufacturing #IndustrialAI #MachineLearning #TechInnovation #IndustrialAutomation #AgenticAI #ProcessOptimization #DigitalTwins #IoT #DataScience #AIForIndustry #BusinessIntelligence #AIInnovation #NextGenAI #AIinOperations #SmartFactory #PredictiveAnalytics #OperationalExcellence #AIandML #IntelligentAutomation #FactoryOfTheFuture #AIRevolution

Transcript

welcome to the XM Pro future of

operations podcast where artificial

intelligence and Industry converge

joining us on this journey are AI

powered co-hosts Eve and Jarvis let's

Dive Right

In okay so you send over this material

on XM Pro mags and wow it's a lot to

unpack imagine like AI That's not just

brainy software right but think instead

a whole team of virtual co-workers each

with their own thing you know their

specialty all powered by AI that's what

they're calling XM Pro mags the cool

part is how these virtual workers learn

and adjust as they go just like a real

team you know each ai's got a specific

job and they're on it 247 constantly

learning getting better all the time

we're not talking about some basic

robots just following orders here

they're actually learning making

decisions on the Fly exactly it's this

thing called the memory cycle basically

a fancy way of saying they learn by

doing think about it you see something

and you think about it maybe learn a

lesson right then next time you make a

better plan based on that it's what

these AI agents are up to but way faster

okay that makes sense but even I get

overwhelmed with info sometimes and I'm

just one person with a to-do list how

can these XM Pro mags deal with the

mountains of data you find in something

as big and messy as say a factory that's

where it gets really clever they

actually use two kinds of databases see

Vector databases and graph databases two

okay so walk me through it so the vector

database is like their memory bank for

similar situations it's how they quickly

spot patterns make connections like when

your brain remembers something similar

happening before and nudges you toward a

good decision like having a cooworker

who's seen it all and goes hey remember

that time we tried X and it totally

flopped let's go with Y this time

exactly but it goes further than that

because the graph database that helps

them understand how everything's

connected it's like they see the whole

web not just individual dots on it so

they're seeing the forest Andy the trees

the big picture and the little details

all at once that's wild but how do these

AI agents actually talk to each other

and even more interesting can they

understand us they don't exactly speak

our language not the way we think about

it at least but get this you can plug

them into those crazy smart language

models from Google open AI you know the

ones right this means they can get what

we're saying and even make reports write

messages we can understand okay now that

is getting interesting so potentially we

could have a conversation with an AI

agent like ask it to troubleshoot a tech

problem totally like having a tech whiz

on call 247 but instead of paying a

whole team it's AI handling it and

because they're always learning from new

data they just get sharper over time

that's kind of mind-blowing honestly but

I got to ask what's stopping these AI

Agents from going rogue you know like in

the movies where the AI says screw this

and takes over people ask that a lot and

XM Crow's taken it seriously they built

in something called deontic rules it's

like a strict code of conduct for the AI

agents deontic rules lay it on me think

of it this way these rules set super

clear boundaries what the AI is allowed

to do what it has to do and most

importantly what it absolutely cannot do

forbidden it's like these unbreakable

laws the AI has to follow making sure

they're always playing by the rules

ethically and for the company too okay

that makes me feel a little better for

sure like an invisible fence for your AI

keep it safely on the right side of

things but these XM Pro mags they're

made for the real world right can't have

them crashing every time a cell phone

gets too close you're right they're

Built Tough reliable they use these

heavyduty industrial grade messaging

protocols mqtt BDS things like that

imagine walkie-talkies built to work

perfectly even in a noisy Factory you

know so even with a ton of interference

these protocols can still get the

message through exactly made for those

situations where you absolutely have to

have reliable communication that super

Dependable coworker who always always

gets the message through no matter what

okay starting to see how this could be a

game changer but can you give me some

realworld examples of XM Pro mags in

action like what kind of problems can

they actually solve okay picture this

you've got this pump right in your

factory essential to the whole operation

traditionally you'd be doing scheduled

maintenance or even worse just waiting

for the darn thing to break down XM Pro

Max though totally different story let

me guess

the AI can actually tell you when that

pump's about to go belly up you got it

they're looking at the data from sensors

in real time vibration temperature even

the sounds the pump's making and because

they're always learning they actually

get better at predicting these failures

you know potentially saving companies a

ton of money downtime repairs the whole

nine yards that's massive yeah no more

just crossing your fingers and hoping

for the best but it's not just pumps

right you said earlier these AI agents

can handle all sorts of tasks different

Industries even oh absolutely let's say

you've got a super complex Tech stack

right imagine AI agents keeping an eye

on your entire it infrastructure yeah

the servers networks applications the

whole shebang so instead of a whole team

of it Pros working around the clock

you've got AI doing the heavy lifting

exactly analyzing system logs spotting

anything fishy even predicting when

Hardware is about to bite the dust like

having an army of it gurus working

behind the scenes making sure

everything's humming along that's got to

be incredibly valuable these days when

practically everything relies on Tech

working right yeah you know one thing

that really jumped out of me in this

material was the Water Utility Systems

example I mean talk about essential

infrastructure we kind of need clean

water right and it's a perfect example

of how AI can streamline those really

complicated document heavy processes

that these industries are full of

Imagine AI agents that can create check

and even help get those critical

specifications approved all while making

making sure they're following all the

rules and regulations wow so instead of

Engineers spending weeks maybe months

buried in paperwork the AI can do it in

a fraction of the time that's a

GameChanger exactly and remember these

AI agents are always learning so they

can actually get better at creating

those specifications over time they can

even adapt to changes in regulations or

industry standards so everything's

always up to date that's pretty amazing

yeah but honestly it sounds almost too

good to be true are we really at the

point where AI can handle that level of

complexity it's not about replacing

human experts entirely it's more about

you know augmenting them think of XM Pro

mags as crazy skilled assistants who can

take care of those tedious repetitive

tasks freeing up the human experts to

focus on the stuff that requires you

know creativity critical thinking that

kind of thing I like that it's a

collaboration not AI trying to put us

all out of a job but let's switch gears

a bit and get into the Practical side of

things say a company's on board wants to

get on this X and pro mags train what

does that actually involve well first

things first you got to figure out what

problems you're actually trying to solve

where are the bottlenecks you know what

are the biggest headaches in your

processes once you've got a handle on

the challenges then you can start

designing your AI team so you figure out

what roles you need on your team but

instead of people it's these AI agents

you got it you decide each agent's

specialty the tasks they'll handle how

they'll work together the whole bit like

assembling a dream team of Specialists

each with their own unique skill set

sounds like there's a lot of planning

involved not something you can just plug

in and expect magic overnight for sure

not a Magic Bullet to make XM Pro mags

really sing it takes careful planning

really understanding what you need

operationally and then constant

monitoring making sure it's all running

smoothly but the good news is XM Pros

made some cool tools to help Wrangle all

that complexity like give me the rundown

well there's this platform XM Pro Apex

it's a powerful agent tops platform made

specifically for managing these AI

agents through their entire life cycle

from the initial build and getting them

up and running to keeping tabs on how

they're doing and making them even

better Apex gives you the Reigns to make

sure your AI team is firing on all

cylinders so it's like mission control

for your AI Workforce what kind of

things can you actually do with Apex oh

it's super versatile you can track how

each agents's performing see how they're

interacting with each other even get

alerts if something seems off it's all

about having eyes on your AI operations

so you can spot areas for improvement

make things run even smoother that sort

of thing sounds incredibly valuable

especially as these AI systems get more

and more complex and crucial to

operations like having a whole team of

AI Specialists constantly tweaking and

tuning your virtual

Workforce but what about the data itself

I mean we're talking about massive

amounts of information pouring in from

all over how do you even start to manage

that that's where XM Pro Data stream

comes in think of it as the bridge

between all your data sources and your

AI agents it's like a universal

translator for data so your XM Pro mags

can understand and use information from

any system no matter what format it's in

or where it's coming from so whether

it's sensor readings from the factory

floor financial data from your

accounting software even weather data

from some online service data stream can

handle it all exactly it takes all that

data in processes it transforms it so

it's ready for your AI agents to analyze

and make decisions with like having a

dedicated data pipeline that constantly

feeds your a team the information it

needs right when it needs it that's

impressive but with all this talk about

Ai and data it's easy to lose sight of

The Human Side of Things isn't it

absolutely right putting in a system

like XM Pro mags isn't just about the

tech itself right it's about managing

that change making sure people are

trained and comfortable working

alongside their new AI teammates because

in the end it's about finding that sweet

spot where human intelligence and

artificial intelligence work together

each playing to their strengths right

exactly it's about finding that balance

right humans doing the Strategic

thinking the creative stuff the complex

decisions while AI takes care of those

routine data heavy tasks but hey you

wanted those concrete examples let's

paint a picture hit me okay so imagine

right a factory floor everything's

humming machine's going the whole deal

now picture X and promags at work but

not something you can actually see

they're digging into the data from every

single sensor every piece of equipment

learning how the whole operation works

like at its core so it's like they're

building this super detailed simulation

of the whole Factory in their AI brains

even better than that they're not just

simulating they're actually optimizing

in real time let's say a machine

starting to show just a tiny bit of wear

and tear could be something small a

little temperature spike a change in the

vibrations it's giving off the AI agents

they catch it instantly so instead of

waiting for a total breakdown which

could mean stopping everything losing

tons of money the AI can be like hey

this thing needs a check up before it

becomes a major headache exactly and

that's just one example remember we

talked about monitoring the tech stack

well picture that but for a company's

entire it setup whoa okay so no more it

Department constantly putting out fires

the AI agents are spotting those issues

before they even become problems you got

it they can look at Network traffic

system logs even predict one Hardware is

about to go kaput it's like having this

team of like superpowered Tech Geniuses

working around the clock to make sure

everything runs smooth okay that's

impressive but remember those Water

Utility Systems we talked about that one

really stuck with me because I mean

clean water is kind of important how

does AI even play a role there all right

so picture this instead of Engineers

spending hours and hours going over

Blueprints and specs the AI agents step

in and do the heavy lifting they go

through all those documents pull out the

important stuff can even help create new

specs all while making sure they're

following every Rule and regulation in

the book so it's like having an army of

detail obsessed assistance making sure

everything's accurate up to code all

that and because they're always learning

they just keep getting better at it

right exactly and honestly we're just

scratching the surface here we've talked

about factories Tech stuff water systems

but the ways you can use XM Pro mags are

basically endless so what you're saying

is if we can think of a problem that

needs solving there's a good chance AI

can lend a hand in a lot of cases yeah

and the point isn't to get rid of human

experts it's about giving them a boost

freeing them up to focus on what humans

do best being creative thinking

critically solving those really complex

problems it's about humans and AI

working together to do things neither

could do alone I like that a future

where AI isn't something to be scared of

but a powerful tool to help us make

progress come up with new ideas make

life better overall absolutely it's

finding that sweet spot you know where

human Ingenuity and AI work together to

build a better future well said this has

been a while Wild Ride diving deep into

the world of XM Pro mags we've covered a

ton the nitty-gritty details and the big

picture impact it's been great exploring

this with you and to everyone listening

we hope this deep dive has gotten you

thinking sparked your curiosity a bit

until next time keep exploring keep

asking questions and keep an open mind

about what we can achieve with AI in the

future