Integrate Artificial Intelligence Into Your Manufacturing Operations
Help your smart factory earn top grades with artificial intelligence.
- It is difficult to know where to start with an AI initiative.
- There are a multitude of options for how AI can be implemented in manufacturing, making it difficult to decide on the ideal first AI initiative to undertake.
- It’s hard to differentiate between vendor hype and realistic use cases for AI.
Our Advice
Critical Insight
- Data governance capability is the gatekeeper to AI success.
- There are an incredible number of applications for AI. Focus your time on figuring out what AI projects you are reasonably able to undertake to avoid option paralysis.
- AI should be used to enhance the capabilities of your employees, not to replace them.
Impact and Result
- Identify the initiatives you are currently capable of undertaking. The lifeblood of AI is good data. See how you can use your current data before you get overwhelmed with the possibilities AI offers.
- Build the business case for AI around what is possible for your organization. Decide what you should be doing with AI based on what you are currently capable of doing.
- Assess your current skills and identify where you will need help from vendors. Knowing when to look outside of your organization for help will be critical to your AI success.
- Gain the support of the business by showing the quick wins your AI initiative will provide and the business pains it will help to solve. Provide regular communication on the progress of your AI initiative to ensure continued support from the organization.
About Info-Tech
Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.
We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.
What Is a Blueprint?
A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.
Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.
Need Extra Help?
Speak With An Analyst
Get the help you need in this 3-phase advisory process. You'll receive 7 touchpoints with our researchers, all included in your membership.
Guided Implementation 1: Analyze capabilities & identify an AI initiative
- Call 1: Discuss current data sets, what you need from your data in order to run an AI initiative, and how AI can alleviate business pains for manufacturers.
- Call 2: Assess the results of Phase 1 activities.
Guided Implementation 2: Build the case for AI & develop processes
- Call 1: Identify business pains specific to your company that “low-hanging fruit” AI initiatives could alleviate.
- Call 2: Discuss the role a business case plays in your AI initiative.
- Call 3: Understand how to go about choosing an AI vendor.
Guided Implementation 3: Ensure long-term vision & support for AI
- Call 1: Identify key stakeholders and how the AI initiative will impact them.
- Call 2: Understand the benefits of an AI project roadmap and best practices for communications during your AI project.
Contributors
- Rob Wilson, Plant Manager, FPH Group
- Robert Austin, Professor, Ivey Business School
- Craig Pawson, Material Planner, Formet Industries
- Rachel Hardman, HR Coordinator, Diply
- Sue Hardman, Human Resources Consultant, Fanshawe College