Upcoming Events & Webinars
Date |
Event |
Type |
|
|---|---|---|---|
April 19 – 22, 2020 |
ICDE 2021 (International Conference on Data Engineering) |
Speaking Engagement |
Learn More |
Stay tuned for upcoming webinars, lightning demos and other events from RapidMiner's team of data science and machine learning experts.
Upcoming Speaking Engagements
Conference
April 19 – 22, 2021
ICDE 2021 (International Conference on Data Engineering)
The premier IEEE International Conference for researchers in Data Engineering and data-intensive systems. Our very own Ralf Klinkenberg, Co-Founder and General Manager at RapidMiner, will be one of three industry track chairs.
Previous 2020 Events
Virtual Conference
October 21 – 22, 2020
Industrial Data Science Conference
The Industrial Data Science Conference gathers experts from various industries and focuses on data science applications in industry, use cases, and best practices to foster the exchange of experience, discussions with peers and experts, and learning from presenters and other attendees. Join your peers in the analytics community at IDS 2020 as we explore breakthrough research and innovative industry case studies that discuss how to best create value from your data using advanced analytics.
Webinar
September 15
BuySmart: Data Science and Machine Learning Bake-Off
This is an exclusive webinar for Gartner clients. This session will provide attendees an opportunity to see end-to-end capabilities of three popular data science and machine learning platforms – Dataiku, RapidMiner and IBM – in action in a controlled, consistent setting side-by-side via scripted demonstrations with common data sets. This virtual session, based on the popular Data Science and Machine Learning session held previously at our Data and Analytic Summit, is educational to help prospective buyers and influencers understand the analytic process and the look, feel, use and application of each tool.
Lightning Demo
July 28
Industrial Time Series Analysis – Part 2
Industries from every sector have harnessed the power of RapidMiner to perform predictive or prescriptive analytics on time series sensor data and hence gain an advantage in competitive markets. In Part 2 of this Lightning Demo, Scott Genzer (Data Scientist at RapidMiner) will take the prepared data set from Part 1 and show how to build, validate, and score a multi-horizon forecasting model.
Webinar
July 22
Digital Engagement and Sentiment Analysis with Lufthansa Industry Solutions and RapidMiner
Data science and machine learning are presenting a better way to digitally engage with your customers and capture true customer voice. In this webinar, we will show how the usage of sentiment analysis methods and RapidMiner software can help you identifying unfavorable tweets and send a call to action to the affected departments. We will discuss various text cleaning and mining procedures and present the analytical workflow on a Twitter data set. Finally, the execution of the process results in a call to action notification to the particular business department.
Lightning Demo
July 21
Industrial Time Series Analysis – Part 1
Industries from every sector have harnessed the power of RapidMiner to perform predictive or prescriptive analytics on time series sensor data and hence gain an advantage in competitive markets. In Part 1 of this Lightning Demo, Dr. Martin Schmitz (Data Scientist at RapidMiner) will begin with a raw industrial time series data set and show how to use RapidMiner to prep the data for modeling including equalizing time stamps, windowing & batching, and extracting relevant features such as slopes, peaks, and FFT transformations for modeling.
Webinar
July 15
What’s New in RapidMiner 9.7: Making AI a Team Sport
Real data science is about more than just building technically sound models. There’s a lot of team work required to makes an impact with AI. The team work is all too often neglected. Part of our mission is to help solve this. Our latest platform release continues our work to put people at the center of the AI journey by fostering better collaboration, all while improving the oversight and management that’s critical to creating successful machine learning projects.
Lightning Demo
July 7
Market Basket Analysis in RapidMiner
Shopping cart analysis and targeted advertising with AI has been a recipe for success for many e-commerce industry titans. Cross selling is the act of recommending or selling additional products to an existing customer – and you see it everywhere. You often hear “do you want fries with that?” in dining, or see “customers who bought this, also bought X” on an e-commerce website, or are suggested a new movie or TV show to watch in your streaming service.
Join Borja Comendeiro, Senior Solutions Consultant at RapidMiner for this 45-minute lightning demo followed by live Q&A.
Lightning Demo
June 30
Solving Customer Churn: A Telecom Use Case
Customer churn represents a revenue loss problem many companies deal with each year. It’s important to be able to prevent churn in order to generate revenue for your business. RapidMiner can help alleviate this critical data science problem by operationalizing machine learning libraries and techniques within the platform.
Join Jeff Chowaniec, presales engineer at RapidMiner for this 45-minute lightning demo followed by live Q&A.
Lightning Demo
June 23
Low Latency/Edge/Real-Time Scoring using RapidMiner Real-Time Agent
Many use cases require getting predictions in real-time, while maintaining through-put and low latency. Sometimes ML models also need to be deployed on edge nodes where network connectivity may not be feasible, and speed is of the utmost importance. Learn how RapidMiner Real-Time Agent helps solve these demanding use cases.
Join Bhupendra Patil, Senior Director of Global Sales Consulting at RapidMiner for this 45-minute lightning demo followed by live Q&A.
Lightning Demo
June 16
Multi Node ETL and ML Jobs with RapidMiner AI Hub (formerly RapidMiner Server)
Machine learning is computationally intensive and needs an architecture that can scale with enterprise data volumes and modeling requirements. RapidMiner AI Hub is designed to do the heavy lifting in a modular, scalable architecture using its job agents.
In this session, we will cover the solutions you can use to scale your process and achieve results while also meeting SLA’s.
Join Bhupendra Patil, Senior Director of Global Sales Consulting at RapidMiner for this 45-minute lightning demo followed by live Q&A.
Webinar
June 10
Drift Management and Model Resiliency for the Ever-Changing World
In enterprise AI, business impact is paramount and model accuracy does not equal business impact. Business impact comes from putting a model into production that performs in a variety of circumstances, so it can withstand the rapidly changing world we live in. The best model is the most ‘resilient’ model and even resilient models need to be managed properly.
There’s no simple KPI for measuring model resilience, but there are simple steps you can take to make your models resilient and much of it comes down to good model operations ‘hygiene.’ You need to maintain your models like you maintain a machine – especially during times of rapid change.
Lightning Demo
June 2
Predictive Maintenance in RapidMiner with OSI PI
Predictive maintenance is a common use case for RapidMiner, particularly in manufacturing. Clients can leverage machine data at the millisecond level that is stored in data sources like OSI PI. RapidMiner connects directly with these sources and leverages that data for predictive maintenance.
Join Jeff Chowaniec, Presales Engineer at RapidMiner for this 45-minute lightning demo followed by live Q&A on connecting OSI PI with RapidMiner for predictive maintenance.
Lightning Demo
May 26
Revenue Management
Businesses need to be agile and consider ways to adjust their pricing strategy to react to economic environment changes, competitor strategies and increase price realization while keeping healthy inventory levels.
Join Borja Comendiero Lopez, Presales Engineer at RapidMiner for this 45-minute lightning demo followed by live Q&A on Revenue Management with RapidMiner.
Lightning Demo
May 20
Python and RapidMiner’s Jupyter Notebooks Integration
Python programming is popular in data science for leveraging all the latest techniques available. RapidMiner leverages these cutting edge libraries through scripting operators and also provides integrated JupyterHub on RapidMiner Server (now RapidMiner AI Hub) to utilize the infrastructure provided by RapidMiner AI Hub.
Join Jeff Chowaneic, Presales Engineer at RapidMiner for this 45-minute lightning demo followed by live Q&A on Python with RapidMiner.
Webinar
May 19
Optimizing Operations with Collaboration for Success
If you need to tighten cost and margin controls to weather these uncertain times, it’s time to draw on the power of advanced analytics and mathematical optimization. Amidst the Industry 4.0 revolution, most manufacturers have a wealth of underutilized data that can be used to deliver optimization across their manufacturing operations.
Manufacturers can get value from this data to help solve critical business problems in a way that facilitates better collaboration between business users and data scientists to achieve success. Watch this 60-minute webinar from FICO and RapidMiner.
Lightning Demo
May 12
Deploy Prescriptive Models Using Grafana
Many predictive models are consumed by end users in applications that they use every day. Dashboards are common tools where data analysis and decisioning happens and augmenting those decisions with predictions and prescriptions can help end users make educated decisions empowered by machine learning.
With RapidMiner 9.6, we provide Grafana as a dashboard solution powered by RapidMiner processes. Queries are fired from the dashboard & the data is fetched from RapidMiner in real-time
Join Pavithra Rao, Presales Engineer at RapidMiner for this 45-minute lightning demo followed by a live Q&A on Grafana with RapidMiner.
Lightning Demo
May 5
Prescriptive Optimizer
Predictive analytics can help you understand what is going to happen and why it is going to happen. However, understanding the what and the why is often not enough to make relevant decisions.
Often, making relevant decisions requires knowing how to act to change the outcome. Prescriptive analytics can help us do just that. Learn how to create prescriptive models that take business objectives and constraints into account and make recommendations on the best path to follow.
Join Borja Comendeiro, Senior Solutions Consultant at RapidMiner for this 45-minute lightning demo followed by live Q&A on prescriptive analytics.
Lightning Demo
Apr 28
Text Mining – Entity extraction
Unstructured data can contain valuable pieces of information in a sea of data-based noise. In order to navigate through that noise and extract the desired information from unstructured text, data scientists rely on a technique called entity extraction. Use cases such as document classification, social media modeling, and sentiment analysis can rely on entity extraction to deliver the desired structured data. This session will focus on various techniques to perform entity extraction in RapidMiner Studio.
Join Jeff Chowaniec, Presales Engineer at RapidMiner for this 45-minute lightning demo followed by live Q&A on entity extraction.
Live Webinar
Apr 22
AI and Intelligent Assistants for Revenue Management
If you’re doing revenue management without AI, you may be doing it wrong. Selling the right product to the right customer at the right time, through the right channel that – as a practice is more succinctly known as revenue management. Curious how it can help your business? Join RapidMiner and Revenue.AI for this on-demand webinar.
Lightning Demo
Apr 21
Text Mining – Document classification
Unstructured data presents many challenges in the business world. Document classification is a solution for lots of use cases involving unstructured data, including quality assurance report classification, social media classification, support ticket classification, and many others. In this session, Jeff Chowaniec uncovers how to solve these use cases with document classification techniques in RapidMiner.
Lightning Demo
Apr 14
Advanced Time Series – Multivariate time series forecasting
Time series modeling is a powerful technique that acts as a gateway to understanding and forecasting trends and patterns. But time series goes well beyond simple regression on a one time series dataset – real-world data has many factors that can enrich and strengthen your ability to forecast. Join Pavithra Rao, Presales Engineer at RapidMiner for this 45-minute lightning demo followed by live Q&A on advanced time series.
Lightning Demo
Apr 9
Time Series Foundations – Univariate time series forecasting
The importance and impact of time series analysis and modeling techniques continues to grow. Customers in many industries like finance, healthcare, transportation, manufacturing, and entertainment use predictive analytics to identify patterns found in historical and transactional data to identify risks as well as opportunities. Join Pavithra Rao, Presales Engineer at RapidMiner for this 45-minute lightning demo followed by live Q&A on time series foundations.
Webinar
Mar 18
RapidMiner 9.6: Expanding RapidMiner to full-time coders and BI users
Our latest 9.6 release expands RapidMiner to full-time coders and BI users. Here we’ll show you the major enhancements made to our data science platform.
Live Event
Feb 11-12 | Boston
RapidMiner Wisdom 2020
The RapidMiner team and RapidMiner Community came together to explore data science applications across various industries, cool tips and tricks, cutting edge techniques, and the RapidMiner roadmap. Explore our keynotes, business track, or the product sessions.
Webinar
Jan 22
RapidMiner Virtual Optimizer
The manufacturing industry is on the cusp of major changes driven by machine learning and artificial intelligence. In this webinar, we cover the topic of process optimization through the lens of RapidMiner’s virtual optimizer – a real-time prescriptive dashboard that lets workers understand the current state of your operation, experiment with potential changes, and then implement the best solution.
Subscribe to The Rapid 3
Sign up here to get what’s hot in data science, machine learning, and artificial intelligence delivered to your inbox every Friday.