This episode of Techsplainers explores CMMS software—how these systems automate maintenance operations, reduce downtime, and leverage AI to predict equipment failures before they happen.

This episode of Techsplainers examines the five types of preventive maintenance strategies and how modern technologies like IoT and AI are revolutionizing equipment maintenance practices.

This episode of Techsplainers explores Energy Asset Management—how organizations track, maintain and optimize critical power infrastructure to ensure reliability while facing growing demand and sustainability challenges.

This episode of Techsplainers explores asset lifecycle management—how organizations track, maintain and optimize valuable resources from purchase through disposal using IoT and AI technologies.

This episode of Techsplainers explores dark data - information organizations collect but never use - and how proper management can transform this hidden liability into valuable business insights.

This episode of Techsplainers explores data observability - how organizations monitor data health to prevent costly errors and maintain quality across systems, pipelines and processes.

This episode of Techsplainers explores data reliability—how organizations measure, maintain and improve the consistency and accuracy of their data to enable trusted insights and better decision-making.

This episode of Techsplainers explores data quality, examining the seven dimensions that determine if data is fit for purpose and how poor quality data undermines AI systems and business decisions.

This episode of Techsplainers examines COBOL modernization approaches—from rehosting and refactoring to complete replacement—helping organizations evolve critical legacy systems while preserving valuable business logic.

This episode of Techsplainers examines legacy code challenges and strategies, from incremental modernization to service wrappers, helping organizations maintain vital systems while evolving their tech landscape.