Download our free white paper and discover how Deep & Machine Learning can enhance Predictive Maintenance and save costs.
Predictive Maintenance greatly benefits the manufacturing industry. AI is the key to leverage it.
Predictive Maintenance employs Big Data and advanced techniques to enhance system health, speed, and decision accuracy; it also involves proactive monitoring through sensors and data analysis to predict failures, plan maintenance, and reduce operational costs. In Industry 4.0, Predictive Maintenance transforms asset management, maximizes machinery lifespan, and minimizes downtime, enabling organizations to revolutionize processes and business
models for enhanced productivity and performance. The global Predictive Maintenance market is projected to reach a value of 81,5 Million by the end of 2031 by growing at a CAGR of 31.9% over the forecast period (2022 – 2031).
Our free whitepaper showcases a use case on the practical application of Deep Learning processes in Predictive Maintenance through Helicon, Radicalbit’s MLOps platform. The scenario revolves around a data storage and backup company that offers personalized and enterprise-level solutions, where Helicon can be employed to handle large volumes of time-streaming data. It is well-suited for realistic scenarios where continuous SMART readings from thousands of hard drives need to be rapidly analyzed.
What you'll find in our white paper
Deep Learning for Hard Drive Predictive Maintenance caters to professionals like Data Scientists, ML Engineers, Data Engineers and covers the following topics:
Introduction to Predictive Maintenance; Overview and Key Benefits
Companies’ Challenges to implement Predictive Maintenance
Machine Learning and Deep Learning processes to power predictive models
The Radicalbit solution for Hard Drive Predictive Maintenance & Helicon benefits