From Data to Decisions: Your Guide to AI-Assisted Manufacturing in Canada

You’re seeing the end-to-end possibilities of standing up AI in manufacturing—from R&D through to maintenance—but you’ve got a lot on your plate. The industry demands performance and rapid go-to-market strategies but is laden with widespread skills shortages and lingering supply chain challenges. It’s just not ideal for your bottom line.

You know you need to innovate with GenAI, but you have questions…

• What can we do with it? Many manufacturers become stuck generating lists of use cases without forming actionable plans.
• Can we make it work? Resistance to change and workforce reskilling can affect adoption and implementation.
• Will our systems and data measure up? The best GenAI results come from data that isn’t hindered by quality issues or silos.
• Do we have the capacity to take it on? Designing, testing, and deploying GenAI solutions from scratch can be extremely time consuming and costly.