Feb 14 2024 14 mins 1
Predictive maintenance has long been a topic of interest in
industry but implementing and scaling theoretical models into the real world has
proven to be fraught with challenges. However, by approaching the problem from
a different angle, Senseye seeks to develop a scalable, general-purpose solution
that can easily apply to the often less than ideal real-world data coming from
factories. With intelligent use of AI models, predictive maintenance can be achieved
without the use of the costly and difficult to scale bespoke models that have
dominated the field for many years.
In this final episode on predictive maintenance, host
Spencer Acain is joined by Dr. James Loach, Head of Research for Senseye
Predictive Maintenance, to discuss Senseye’s unique approach, the struggles of
adopting predictive maintenance and AI in the real world, and what the future
for AI holds.
In this episode you will learn:
·
General purpose decision support (1:06)
·
Challenges of adoption (6:20)
·
A rapidly changing world (10:02)
