Why Good Data Is the Key to Successful AI in Manufacturing
Companies rushing to adopt AI often stumble on data collection and structuring. While AI dominates the headlines, successful deployment starts with getting your data in order.
The Big Problem
Many organizations want to leverage AI, but without sufficient and high-quality data, you won't get far. Moreover, how data is organized is crucial. Similar information is often scattered across different systems, leading to chaos. This not only hinders insight but also makes it difficult to deploy AI effectively.
The Three V's of Good Data
AI models are available to everyone, but good, unique data makes the difference. Three important aspects: volume, variety, and freshness of data for effective AI applications. At Oppr.ai, we help customers achieve this by making data accessible, structured, and consistent. Think of organizing hand-filled Excel files, quality reports, machine data, and operator feedback. With AI: "Garbage in, garbage out." That's why clean, up-to-date data is crucial.
The Holy Grail: Connecting Systems
Beyond good data, connecting systems is essential. At Oppr.ai, we see this in manufacturing as well. By structuring data and connecting sources, a data timeline emerges that provides complete insight into your processes (input, processing, and output). We've successfully applied this with multiple customers, yielding remarkable results: operational insights and the ability to proactively predict problems and optimize processes.
The Next Step: Industry-Specific AI Models
With good data management, you can also use or build smaller, specific AI models tailored to your sector and factory. These are cheaper, faster, and more targeted than large, generic models. At Oppr.ai, we train company-specific models with your data, giving you full control and reliable outcomes aligned with your production process.
Curious About the Possibilities?
Want to know how your production company can make optimal use of data? Let's talk! We analyze your historical data from various sources and provide improvement points you can implement immediately or investigate further.
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