Machine learning has changed manufacturing forever, and for the better. Here are some of the ways ML will continue to revolutionize the industry in 2021 and beyond.
Dramatically improve core operational functions and help products, brands and services stand out in the marketplace.
Bringing unmatched efficiency to manufacturing with data science
AI is an irreplaceable element to help navigate the changing world and to make operations and production processes more efficient, agile, and profitable. As a leading data science platform, RapidMiner has the blueprint to make you successful. We help manufacturers across the globe deliver business impact with AI.
Without requiring experienced data science and data engineering teams, manufacturers across automotive, agriculture, biotech, chemical, food, petrochemicals, pharmaceuticals, and other sectors are able to leverage machine learning to generate unmatched efficiency and value.
Manufacturing Industry Use Cases
Why AI now?
Amidst the Industry 4.0 revolution, manufacturers must fully embrace cyber-physical systems and use all available data and predictive analytics to innovate every aspect of their business. Those that don’t will find themselves quickly outperformed by aggressive and nimble competitors emerging from around the world.
Today’s manufacturing is not just about volume and efficiency. Manufacturers must use machine learning to design smart products, run smart factories, forecast demand, ensure quality, reduce production downtime and manage supply chain risk.
MULTI-NATIONAL AUTO PARTS MANUFACTURERLearn how simple repairs and maintenance can have massive downstream implications. This manufacturer was able to drastically reduce the risk of plant shutdown, with each avoidance saving $20+ million per day cost.
GLOBAL ENGINEERED MATERIALS PROVIDERLearn how AI augmentation of institutional knowledge can improve output and quality, creating sustainable market dominance. This manufacturer reduces waste, improves yield, and saves $1 million a month conservatively.
What Our Manufacturing Customers Say
The product is very easy to use and extremely powerful. We have made a concerted effort to integrate RapidMiner into many different areas of the business to increase efficiency, reporting accuracy, bring reporting in-house to reduce costs, and integrate analytics into business processes and it has been successfully implemented across the organization.
I like its ability to answer the needs of a novice to a master data scientist. Our organization doesn't have coders and data scientist sitting around. Yet we have been able to make progress in getting people to use RapidMiner more readily. Online time is a direct indication that this is having success in our organization. Specific to manufactures, continuously increasing their OSISoft PI capability is paramount.
RapidMiner is software that is very easy to use. You can explain to people who have little understanding of data analytics use cases very well and understandably how the data is processed. The operation of the software is intuitive and the community is very broad and is a good help for special questions. The range of functions is very large and cannot be compared with other software solutions.
RapidMiner is the perfect tool for Trialing and prototyping ML projects for the citizen data scientist. It is easy to use, delivers a lot of support and allows good integration into scaled up data environments.
Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences, and do not represent the views of Gartner or its affiliates.
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Looking to adopt AI in your manufacturing organization? Start with predictive maintenance – it rises above other use cases in terms of feasibility & impact.