Are you looking to drive real business impact through AI? Get inspired by these 50 AI use cases that we’ve compiled from across all industries.
This session is a demonstration of the RapidMiner-Tableau Integration component developed by Bhupendra Patil of RapidMiner for classification and association mining.
In this session, Tamilla Triantoro presents how she adopted RapidMiner for teaching machine learning concepts, including topics and techniques she covered in class, student feedback, and the support she received from RapidMiner unicorns.
In this demonstration, Rodrigo explains a proof of concept architecture used to score HTTP requests, detect attackers and block them using RapidMiner Real-Time Scoring.
Ryan Frederick of Dominos talks about how his data science team worked through a complex time series forecasting exercise and scaled R-based time models.
Brandon Shockley of 160over90 describes the agency’s data-mining journey, from early prototypes to actionable consumer insights.
Learn how Lufthansa increased the accuracy of their flight arrival time predictions using RapidMiner, saving significant costs associated with delays.
Learn how this manufacturer uses insights from RapidMiner to adjust its operations to reduce customer support costs and improve its customer experience.
Learn how TfL uses RapidMiner for the operation of the road network, managing the traffic signals and ensuring safe, high-quality roadworks across the city.
Learn how a US state auditor leveraged machine learning to detect and prevent the estimated one billion dollars wasted on fraud in healthcare per year.
Learn how the project partners identify huge potential for the application of machine learning to predict product defects early in the production line.
Learn how Daimler and Miele used RapidMiner to accelerate the product design and assembly planning phases in their factories to reduce time and cost.
Learn how LIAT uses RapidMiner to improve the time it takes to respond to customer issues and improve customer sentiment.
Learn how implementing data analytics in chemical plants can prevent rare events that can lead to the loss of property and potentially life.
Learn how a LDC in the natural gas industry predicts which parts of its pipeline are at the greatest risk of failure with RapidMiner.
Learn how a water distribution company leverages the insights from RapidMiner to decide where to invest in pipeline rehabilitation & replacement.
An analytics division in a privately held healthcare company wanted to use their vast amount of patient treatment data to help drive better care and outcomes. They monitored
Learn how Mobilkom uses RapidMiner to analyze the textual content of incoming customer requests and automatically determine the topic of each request.
Learn how this manufacturer collects patent documents filed by competitors and uses our text analytics and predictive capabilities to sort and track them.
This multinational pharmaceutical company sells thousands of different drugs. In order to optimize logistical operations and storage needs, the company needed to know future sales.
This giant pharmaceutical firm was looking for customer feedback. It wanted to know what people liked about its products. Did people prefer the company‘s product
Learn how, using RapidMiner, Lufthansa is able to decrease device failures and reduce total downtime by more than 20%, resulting in cost reductions.
Learn how this telecommunications company quickly identifies its most valued customer segments, reducing cost of sales and improving revenue opportunities.
Modern Marketing Concepts, Inc. (MMC) is a global leader in the business-to-business marketing services industry, offering innovative marketing solutions across multiple industries, including the building
Learn how RapidMiner’s features and functionality enable Body Biolytics to process and analyze wearables data quickly, accurately, and intelligently.
Learn how SustainHub uses RapidMiner for risk analysis, checking for errors, flagging certain substances or products, and searching for alternatives.
Learn how PayPal applies basic voice-of-the-customer-concepts and text analytics to customer feedback to identify, classify, and count their customers.