The truth about predictive maintenance - with Nat Ford

Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – the platform which enables predictive
maintenance at scale across all of your assets, across all of your
plants.Episode Summary:Predictive Maintenance Evolution:
Understanding the progression from condition monitoring to
predictive maintenance, emphasizing the benefits of reducing
unplanned downtime and improving maintenance
efficiency.Conversational Predictive Maintenance: Introduction of
conversational predictive maintenance powered by AI, which makes
interacting with maintenance data more user-friendly through chat
functions and copilots.Data Utilization: Discussion on how even
small amounts of data can effectively inform maintenance decisions,
challenging the misconception that large datasets are necessary for
predictive maintenance.AI's Role in Maintenance: Exploration of
generative AI's role in making maintenance tasks more accessible
and scalable, allowing users to ask natural language questions
about machine conditions and get informed, contextual
responses.Human and Machine Collaboration: Insights into how the
integration of AI is transforming predictive maintenance into a
more interactive process, supporting users in real-time
decision-making and troubleshooting.Ongoing Innovation: Speculation
on the future of predictive maintenance, particularly how AI-driven
insights will continue to evolve and improve maintenance
strategies.You can find out more about how Senseye Predictive
Maintenance can reduce unplanned downtime and contribute towards
improved sustainability within your manufacturing plants, by
visiting: www.siemens.com/senseye-predictive-maintenance