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internet of things digitalization iot

Reality and ROI: The Crucial, but often Overlooked Key Ingredients of a Successful Digital Twin Adoption

Reality and ROI: The Crucial, but often Overlooked Key Ingredients of a Successful Digital Twin Adoption

Get optimal returns implementing Digital Twin through a realistic, incremental approach based on actual business capabilities.

IoT Domain Implementation Workshop

IoT Domain Implementation Workshop

  • The Digitalization Consortium walkthrough the IoT Domain, IoT implementations, lessons learned, business processes, and IoT/sustainability impacts.
Digitalization and the Importance of Data Governance and Standards

Digitalization and the Importance of Data Governance and Standards

Proper planning and defining of data quality standards at the beginning of a digital initiative will pay huge dividends. We will discuss the main points that should be considered referencing ISO8000

Decision-Making in the Era of Artificial Intelligence and Big Data

Decision-Making in the Era of Artificial Intelligence and Big Data

Explore the challenges and opportunities presented by the integration of big data, IoT, AI, and cloud-based technologies into modern decision-making processes.

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Reliability Radio EP 299: Sean Gregerson, AVEVA

Reliability Radio EP 299: Sean Gregerson, AVEVA

Sean Gregerson from AVEVA sits down with us in this podcast and takes us through examples of AVEVA’s Industry 4.0 solutions.

This Is the Best in Class

This Is the Best in Class

When a critical gearbox failure occurred in the area that had deviated from the plan, management recognized the value of the centralized approach and mandated its adoption facility-wide.

Mobility 4.0 – Your Practical Digital Accelerator

Mobility 4.0 – Your Practical Digital Accelerator

Complements Maintenance 4.0 by digitizing core data needed for autonomous processing. Will cover key aspects and lessons learned in a “crawl, walk, run” format.

Implementing Sustainability Programs Using Asset Performance Management

Implementing Sustainability Programs Using Asset Performance Management

APM monitors and helps control energy usage and emissions. Learn how to reduce energy intensity, improve efficiency and equipment uptime, and examine a case study.

Full Adoption of AI-driven Maintenance in Pulp and Paper Manufacturing – Industry 4.0

Full Adoption of AI-driven Maintenance in Pulp and Paper Manufacturing – Industry 4.0

In 2021, they adopted a new condition-based monitoring system called Senseye PdM to achieve predictive maintenance which utilizes both rule-based and AI-driven diagnostics.

A Manufacturing Forecast for the Key Trends Shaping 2024 – Where AI Just Makes Them Better!

A Manufacturing Forecast for the Key Trends Shaping 2024 – Where AI Just Makes Them Better!

Which four key areas can manufacturers strengthen their supply chains, with assistance from innovative technologies like AI?

Fail Forward

Fail Forward

When the pilot program flops, can you still count it as a win?

KCF TECHNOLOGIES AND SEAM GROUP ANNOUNCE STRATEGIC PARTNERSHIP TO CAPITALIZE ON COMPLEMENTARY EXPERTISE

KCF TECHNOLOGIES AND SEAM GROUP ANNOUNCE STRATEGIC PARTNERSHIP TO CAPITALIZE ON COMPLEMENTARY EXPERTISE

KCF Technologies and SEAM Group are thrilled to announce a partnership that brings together two industry experts to offer a comprehensive solution for end-to-end reliability consulting.

The Journey to Data Driven Decision Making

The Journey to Data Driven Decision Making

Focusing on the Asset Criticality Assessment has enabled an appetite for a data driven maintenance program

Maximizing the Value of Predictive Sensors Across the Enterprise

Maximizing the Value of Predictive Sensors Across the Enterprise

This presentation would cover our learnings in:

  • Alert notification, making corrections, and root cause.
  • The cradle to grave process of correcting issues.
  • Process to evaluate the effectiveness of sensors
  • Process to remove inspections with confidence after sensors are installed
Optimizing MRO Inventory Using Machine Learning: A Customer Case Study

Optimizing MRO Inventory Using Machine Learning: A Customer Case Study

Through the case study of Sherwin-Williams’ predictive maintenance and MRO parts Optimization, attendees will learn about the key components of a machine learning project and see the results in action with a demo.

Not Enough Time to Connect

Not Enough Time to Connect

This tale from the shop illustrates how reliability and maintenance are part of an overall corporate strategy, with digitalization intended to upgrade and sustain healthy mission-critical assets.

Operationalizing AI 
for Asset Condition 
Management

Operationalizing AI for Asset Condition Management

Artificial Intelligence is the greatest story of our time. Artificial Intelligence is not merely a trending narrative; it’s the cornerstone of a transformative era in industrial reliability and asset management.

Practical Implementation of IoT Devices for Remote Monitoring

Practical Implementation of IoT Devices for Remote Monitoring

I discuss these including hardware, software, communications networks, and platforms. I’ll also give practical examples of projects covering different aspects of IoT implementation.

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