Scott MacKenzie hosts the Industrial Talk podcast, highlighting industry innovations and trends. He introduces Austin Anderson, who discusses Azima's diagnostic system and its integration with Fluke Reliability. Anderson explains the standardization of data collection over 15 years, emphasizing the importance of accurate data for reliability. He details the integration of Azima's AI with human analysts for 85% accuracy and the development of a user-friendly interface. The conversation also covers the future of Azima, including expansion into oil analysis and thermography, and the importance of efficient data storage and management. Anderson can be contacted via LinkedIn for more information.

Action Items

• [ ] Rebuild the Azima user interface to make it more user-friendly and easily accessible.
• [ ] Integrate Azima's data and insights with Fluke's other reliability solutions, such as alignment and balancing, to provide an end-to-end connected reliability offering.
• [ ] Enhance the Azima platform to include additional reliability data sources beyond just vibration, such as oil analysis and thermography.
• [ ] Develop a solution that can automatically translate Azima's problem identifications into work orders in the customer's CMMS (e.g., eMaint).

Outline

Introduction and Overview of Industrial Talk Podcast

• Scott MacKenzie introduces the Industrial Talk podcast, emphasizing its focus on industrial innovations and trends.
• Scott highlights the free ebook and workbook available on Industrial Talk, which expands on five elements of successful companies: educate, collaborate, innovate, invest in culture, and communicate effectively.
• Scott MacKenzie thanks listeners for their support and celebrates industrial professionals for their boldness, bravery, and problem-solving skills.

Introduction of Austin Anderson and Azima

• Scott MacKenzie introduces Austin Anderson, who will discuss the product Azima.
• Austin Anderson shares his background, mentioning his three-year tenure with Azima and his role in developing the diagnostic system.
• Scott MacKenzie inquires about the accuracy of the data stored in Azima, to which Austin explains the standardized method of data collection and its relevance over the years.
• Austin discusses his background in vibration analysis and his previous work with the Navy, highlighting his expertise in the field.

Strategic Path and User Experience of Azima

• Austin outlines the strategic path for Azima, focusing on making reliability engineers superstars and providing useful insights for top-level executives.
• Scott MacKenzie asks about the integration of Azima with Fluke Reliability, and Austin explains the goal of making the platform user-friendly and value-added.
• Austin describes the end-to-end connected reliability solution offered by Fluke Reliability, including hardware, software, and alignment and balancing services.
• Scott and Austin discuss the importance of user experience and the redesign of the user interface to make it more accessible and user-friendly.

Data Accuracy and Integration with Fluke Reliability

• Scott MacKenzie inquires about the accuracy of the diagnostic system, and Austin explains that AI can achieve 85% accuracy, with the remaining 15% covered by human analysts.
• Austin discusses the integration of Azima with Fluke Reliability's x5 system, which allows for the automatic creation of work orders based on diagnostic results.
• Scott and Austin talk about the importance of connecting different tools and solutions within Fluke Reliability to ensure efficient data flow and accurate results.
• Austin explains the process of storing and managing large amounts of vibration data, emphasizing the use of modern database technologies to optimize storage and access.

Future of Azima and Reliability Solutions

• Scott MacKenzie asks about the future of Azima, and Austin expresses excitement about expanding the platform to include other reliability modalities like oil analysis and thermography.
• Austin discusses the extensibility of the existing Azima architecture to accommodate different types of data and solutions.
• Scott and Austin talk about the importance of connecting various reliability tools and solutions to provide a comprehensive and integrated approach to maintenance and reliability.
• Austin provides his contact information for listeners interested in learning more about Azima and Fluke Reliability.

Closing Remarks and Correction

• Scott MacKenzie corrects his earlier mistake of calling Aaron Anderson “Aaron” and acknowledges that his name is actually “Austin.”
• Scott thanks Austin Anderson for his insights and encourages listeners to connect with him on LinkedIn for more information about Azima.
• Scott wraps up the podcast, reminding listeners to check out the Industrial News Network and to stay tuned for future conversations.
• The podcast concludes with a reminder to be bold, brave, and innovative, and to connect with industry professionals like Austin Anderson.

Scott MacKenzie and Lee Morgan discussed the potential of advanced predictive maintenance solutions for industrial assets, highlighting the importance of real-time data and the ability to provide predictive maintenance. Speaker 3 provided insights into Fluke's role in providing solutions for asset management, reliability, and vibration monitoring, emphasizing the scalability and flexibility of the new X5 platform.

Action Items

• [ ] Connect existing Fluke Reliability customers to Azima services.
• [ ] Customers interested in Azima should contact Lee Morgan via LinkedIn.
• [ ] Promote the Xcelerate 2025 user conference for asset management and reliability professionals.

Outline

Fluke Reliability's Azima platform and its capabilities in providing vibration monitoring insights.

• Lee Morgan, is a senior global product marketing manager at Fluke Reliability.
• He oversees the Fluke reliability portfolio, including Azima and Proof Technic, and email asset management software.
• Lee explains that x5 is more scalable and flexible than x4, with added insight from Zima platform.
• Azima platform provides trillions of data points, making vibration analysts 3-5 times more efficient than others.

Predictive maintenance platform for industrial machinery, highlighting its capabilities and potential applications.

• Lee explains how the platform provides peace of mind by predicting failures months in advance and offering real-time data insights.
• The platform's wireless sensors operate on a self-healing mesh network, ensuring reliable data collection even in challenging environments.
• Lee: “We've got trillions of data points and over 50 machine types in our library.”
• Lee: “We've enabled software transfer from MTC to Azima for Azima watchman services.”

Predictive maintenance platform for asset management.

• Fluke's Azima system provides predictive maintenance for customers.
• Lee discusses global maintenance, reliability, and asset management solutions.