Dataiku Geek Speak Series: Leverage AI in Manufacturing Predictive Maintenance
Join Dataiku and Microsoft for a virtual workshop focused on manufacturing. Follow our instructors step-by-step while clicking through the project on your own device at home.
In this session, we will demonstrate how to use Dataiku with Azure Synapse for a machine learning-based solution to predictive maintenance.
Predictive maintenance is critical for any business with high-capital assets, especially the manufacturing and transportation sectors.
How can you harness the power of AI to control rising equipment maintenance costs by predicting impending failures that human eyes could never detect?
With a machine learning-based approach to predictive maintenance, downtime and repairs are directly tied to likely failure, minimising cost (e.g. less labor time, less chance of unexpected failure), and maximising asset life. By contrast, traditional maintenance techniques (run-to-failure, preventative, or some combination of the two) inevitably mean unexpected or disruptive repairs, leading to longer overall downtime.
Speakers:
- Greg Willis, Global Director of Solution Architecture at Dataiku
- Patrick Millart, Partner Technology Strategist at Microsoft
Please be aware that by registering for this webinar, you agree to have your personal information shared with Dataiku's partner Microsoft. They may contact you with information that could be of interest to you.