Wisdom 2020 Presentations
This presentation shows the latest advances in RapidMiner that will make it even easier for teams to work together towards the same goal with AI and ML.
An Examination of the NFL Quarterback’s Success: Are athletic intangibles a reliable indicator of success?
Heatherly Carlson explores the relationship between the player intangibles and whether they have ever taken their team to a playoff game.
Jeremy Osinski and Todd Marlin of Ernst and Young discuss how machine learning can help understand and predict employees’ and stakeholders’ intentions.
In this two-part presentation, Lionel demonstrates how to use clustering for preprocessing and how to use clustering for semi-supervised learning.
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.
Dr. Mierswa presents a manifesto for data science, a set of basic principles designed to guide our work and make sure that our models have the desired impact.
Muddasir Hassan of Anblicks discusses using artificial intelligence and IoT technology to speed up the fault detection process and predict defects faster.
Brandon Shockley of 160over90 describes the agency’s data-mining journey, from early prototypes to actionable consumer insights.
FutureBright Analytics: How an international education company uses analytics to power growth and student success at scale
Brian Meagher of Shorelight Education talks about how Shorelight has used data science to help fuel growth and help students succeed.
This panel brings together different perspectives to discuss how they can best work collaboratively to ensure data science projects have the desired impact.
Overcoming the computational demand of time series: Scaling R-based demand forecasting with RapidMiner
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.
This presentation discusses the current position of RapidMiner as a tool for personalized medicine and the new era of personalized medicine, genomics, etc.
This presentation demonstrates a new extension that adds the ability for data scientists to make their projects as easily understood as possible.
This session outlines how to use RapidMiner to support investment & maintenance decision-making for linear and networked assets such as pipelines, roads, electric transmission lines, water distribution systems, etc.
Elise Watson of Clarkston Consulting shows how to use RapidMiner to enhance the health care professional’s journey.
Mahesh Vinayagam of qBotica discusses the changing landscape of the automation ecosystem, and how enterprises can best use these changes to increase efficiency.