Alan Says Expert in Industrial AI technologies

Plant reliability programs are only as good as the data feeding them, and that data starts at the sensor level. This episode breaks down which IoT sensors actually matter for rotating equipment, how they capture vibration, temperature, and current signatures in real time, and why sensor placement and data quality determine whether an AI model can detect a developing fault or simply generate noise....

Unplanned downtime can result in significant production losses, increased maintenance costs, and operational disruptions in heavy industries. In this podcast, we explore how online monitoring enables continuous visibility into asset health, helping maintenance teams detect potential issues before they escalate into failures. We'll discuss the role of real-time data, predictive analytics, and AI-dr...

One of the most persistent challenges in industrial maintenance is not simply knowing that a machine has a problem, but accurately diagnosing the exact underlying issue. While standard threshold alarms can indicate abnormal equipment behavior, they routinely fail to reveal whether the root cause stems from bearing wear, shaft misalignment, rotor imbalance, lubrication issues, or mechanical loosene...

While both approaches focus on equipment health, condition monitoring typically involves tracking specific asset parameters to assess current operating conditions, whereas online asset monitoring provides continuous, real-time visibility into equipment performance through connected systems and analytics. Online monitoring often integrates AI, remote diagnostics, and predictive capabilities to enab...

Selecting the right predictive maintenance solution provider can significantly impact equipment reliability, maintenance efficiency, and overall plant performance. In this episode, we explore the key factors manufacturers should evaluate when choosing a predictive maintenance partner, including industry expertise, condition monitoring capabilities, Industrial IoT connectivity, AI-powered analytics...

Online condition monitoring can significantly improve asset reliability and maintenance efficiency, but not every piece of equipment requires continuous monitoring. In this podcast, we explore how organizations can identify the assets that will benefit most from real-time condition monitoring and why asset prioritization is critical for maximizing return on investment. We discuss the key factors t...

In this episode, we explore how condition monitoring in manufacturing helps organizations improve equipment reliability, reduce unplanned downtime, and optimize maintenance strategies. Learn how real-time data, industrial sensors, and advanced analytics work together to monitor machine health, detect potential issues early, and support more informed operational decisions. What You'll Learn: How co...

Discover how cloud service providers are enabling smart factories with advanced prescriptive maintenance capabilities powered by Industrial IoT, AI analytics, and real-time equipment monitoring. This episode explores how manufacturers are using cloud-based platforms to collect machine health data, analyze asset performance, and support faster maintenance decisions. Learn how connected technologies...

Manufacturing organizations are increasingly adopting AI Predictive Maintenance to improve reliability, reduce downtime, and optimize maintenance performance. In this episode, we explore the key benefits of implementing predictive maintenance across modern manufacturing operations. Topics include early fault detection, improved maintenance planning, increased equipment availability, enhanced energ...

Real-world stories of how energy efficiency solutions have delivered measurable savings and process improvements in manufacturing.

A discussion on how prescriptive AI is shaping the future of manufacturing by improving reliability and enabling smarter energy decisions.