AI, or artificial intelligence, is disrupting many industries with the promise of dramatically increased efficiency. Yet, many organisations in the manufacturing industry struggle to keep up with these developments—or even to get started. And that’s a missed opportunity because this sector has enormous potential. So how can you start leveraging the power of AI today—smartly and simply? In the latest edition of Link Magazine our experts share their insights:
3 Examples of AI in the Manufacturing Industry
How can AI make a difference in your production process?
Prevent Downtime with Predictive Maintenance
Downtime is not only inconvenient but also costly. What if we could prevent it with predictive maintenance? By using smart sensors in machines, you can continuously collect and analyse performance data. AI identifies patterns in machine data and predicts when specific components are likely to fail. Instead of waiting for breakdowns or following rigid maintenance schedules, you can prevent issues before they occur.
Resolve Downtime Faster with AI-Driven Manuals
Can maintenance itself be made smarter with AI? Absolutely. By applying Generative AI to all technical documentation, operators or technicians can find a solution to a problem within seconds. Simply by chatting with—often—thousands of manuals, you can reduce costly downtime.
Smarter Production Planning
AI excels at analysing complex variables such as order volumes, machine availability, and workforce capacity. It enables smart—and even real-time—optimisation of production planning. The result? You can continuously maintain productivity, even under constantly changing conditions.
Where Should You Start?
The potential of AI in your production process is vast, but where do you begin? Emixa helps many organisations harness the power of AI with these three steps:
1. Get Your Data in Order
It all starts with data. Today’s AI models are incredibly smart, but they are not magical. You need reliable business data to make meaningful predictions and analyses. Set up a solid data infrastructure to extract, transform, and load your data efficiently.
2. Define Your Focus
AI is not an end goal in itself; it should add value to your business. Identify which business processes will benefit the most from AI. Where can you reduce downtime? Where are repetitive tasks that could be automated? Where are the opportunities to serve customers faster?
3. Start Experimenting
While AI has great potential, we recommend starting small. Work on ‘use cases’ with a clear goal and business case. Develop a proof of concept in a short sprint to quickly determine if your idea has real potential. You will learn and gradually build your AI-driven future by actively working with AI.
Accelerate with Emixa
The future of the manufacturing industry is here. So don’t wait. Our Data & Analytics team is ready to assist you—whether it’s guiding you in the world of AI, implementing your use cases, or building a future-proof data landscape.
Accelerate into the Future
Get in touch with the authors
Our experts are happy to share their insights and explore how your organisation can take the next step.
