Three Practical AI Use Cases for Manufacturing Processes

Remi Duquette, Maya HTT

Abstract:

Manufacturing companies face the challenge of turning their AI investments into tangible returns and ensuring long-term adoption.

If you think your data-rich and ready for an industrial AI project? Come take a closer look!

We will present three (3) successful industrial AI use cases running 24/7/365 for the benefit of our manufacturing clients. Machine learning and deep learning and now generative AI has evolved a lot over the past few years. We will cover the biggest barrier to adoption (no, it is not the tech). We will also review the data engineering best practices that need to be implemented to ensure continuous quality and productivity improvements with AI tech. Find out about practical manufacturing use cases with interesting and measurable benefits. Get answers to the following questions:

• Is my data of good enough quality to take advantage of AI algorithms?
• Do I have enough data to take advantage of AI algorithms? If not, what are alternative solutions to get started?
• What equipment should I add to my production to apply AI technologies?
• What examples of quality improvement in manufacturing production seem to benefit from AI tech?
• What examples of productivity improvement in manufacturing production seem to benefit from AI tech?

What examples of maintenance improvement in manufacturing production and industrial operations seem to benefit from AI tech?