Asset Lifecycle Management Podcast episode

Episode 21: Trends & Future Options for ALM

From Arc 7: Making Asset Lifecycle Management (ALM) Easier For You

September 10, 2024 | 12 minutes

Peter and Stephen review the previous episode’s discussion on predictive maintenance, focusing on how AI will transform and enhance the maintenance aspect of ALM. They highlight key considerations when integrating AI into maintenance practices, and discuss the evolving ecosystem of asset lifecycle management, emphasizing emerging trends in cloud computing and cybersecurity.

Key takeaways

Combining generative and predictive AI can enhance predictive maintenance, with each company needing to find the right balance for their needs
Predictive maintenance still requires manual oversight and input
Predictive maintenance demands large amounts of data, driving increased investment in cloud computing and cybersecurity

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Highlights & Timestamps

Speakers

Hosts

Stephen Sugumar, Account Executive at Diabsolut
Stephen has delved into many roles over the years, from development, professional services, solutions consulting, into his current role as account executive today. Leveraging his technical expertise and solutioning adaptability to find a path forward within all his engagements while guiding his team in similar fashion. He is an expert in processes and best practices—leveraging insight from industries such as Energy & Utilities, Healthcare, Home Services, Telecom, Manufacturing, and High Tech—to support Diabsolut’s customers in their evaluation and selection of Service solutions.

Peter McMullan, Solutions Consultant at Diabsolut
As a seasoned member of the Pre-Sales team, Peter brings an expertise in service management, focusing on field service and improving operations within service organizations. His background in engineering gives him a fresh, solution-driven perspective that he leverages to analyze problems. Peter proves himself to be a trusted advisor to Diabsolut and customers through his understanding of business analysis, process improvement, development, and configuration in designing and demonstrating tailored solutions.