Our Academy offers free online training and courses to leverage throughout your data science journey. Learn more about what it is, why we made it, and how you can use it.
Introducing RapidMiner’s Open Platform Communication Unified Architecture (OPC-UA) Connector Extension
Our new Open Platform Communication-Unified Architecture (OPC-UA) Connector Extension allows analysts and data scientists to tap into this vast pool of industrial plant data. Read more.
Automation is disrupting and displacing old models of production and permanently changing manufacturing. Let’s uncover how we got here and what this new technology means for manufacturers.
Customer churn is a tricky problem to solve. Here we explain the common challenges organizations face and how a machine learning model can help.
Are you new to machine learning and unsure where to started? Read our beginner’s guide covering everything you need to know—what it is, examples, why it’s so valuable and more.
Learn how you can benefit from using Tableau to better visualize and present the work you do in the RapidMiner platform.
If you’re new to data science and aren’t sure where to start, don’t sweat it. Read our beginner’s guide including everything you need to know about applying it to your organization.
Whether you’re a plant manager focused on minimizing product defects or a marketer who wants to predict the results of an upcoming campaign, there’s a
At the DATAcated Conference 2021, experts from a wide range of industries shared great advice for anyone looking to improve how they work with data. Here are some key takeaways.
How is data analytics being used in the food and beverage industry today? Here we’ll dive into 6 of the top use cases that are driving real business impact for these organizations.
Looking to leverage our new Tableau integration? We’ve got you covered. Take a look at how RapidMiner can augment Tableau’s autoML capabilities.
Chemical manufacturers can confront common challenges head on with artificial intelligence. Let’s look at six specific examples of how AI can help.
Let’s look at five examples of how capital-intensive businesses are leveraging AI to improve their bottom lines.
There’s no denying that AI can produce enormous benefits across key areas of insurance. Here are five ways that insurance companies are using it to impact their bottom line.
To make sure that critical aspects are present in your data science work—collaboration and business impact—you need to build an embedded data factory rather than a research institute. Here’s why.
RapidMiner continues to expand the reach of AI and ML by providing plants with the ability to run their own machine learning models. Take a look!
For organizations fortunate enough to have data scientists who code in Python, let’s talk about how you can productively work in a data science platform and the key benefits of doing so.
The automotive industry has begun leveraging new technologies to reshape not only how we drive cars, but also how we conceptualize them. Here are the three biggest technological trends driving the automotive industry in 2021.
We’ve been working hard to expand our platform to meet the needs of larger enterprises, and it’s being recognized! Here’s why we were named a Visionary in the Gartner 2021 Magic Quadrant for Data Science & Machine Learning.
Banking is leading the way in the adoption of artificial intelligence, particularly for risk management. Here are 3 ways that AI helps alleviate risk management functions.
Edge computing refers to a distributed computing framework that aims to process and manage data as close to the source of data generation as possible. Learn the benefits, challenges & more.
What factors have the biggest impact on home purchase prices? Learn to build a machine learning model in RapidMiner Go and share a simulator to easily communicate results.
When done successfully, data modeling plays a vital role in the growth and overall success of almost every business. Here are techniques to help achieve better results.
Learn exactly what industrial internet of things (IIoT) is, and why there’s an even better way forward—the intelligent industrial internet of things.
Learn how AI is being used to help make the holidays merry and bright, even if things are a bit different this year with an ongoing global pandemic.
When it comes to data science, it’s not about what you learn. It’s about what you are able to build with what you know. Find out why.
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.
Learn how artificial intelligence (AI), machine learning (ML), and big data are changing the renewable energy sector by taking advantage of collected data.
Here we’ll introduce you to the In-Database Processing Extension and explain how it can be a very powerful tool under the RapidMiner user’s belt.
Industrial Internet of Things (IIoT) is already transforming manufacturing operations across the globe through several common implementations. Let’s look at some examples.
Here’s how to beat the most common data science monsters and get your machine learning model out into the world without getting spooked!
Automating a data science project can seem overwhelming, but there’s a clear set of steps you can take to ensure that you’re doing things the right way, the first time. Here’s how.
Overall equipment effectiveness (OEE) is a metric used to understand how well manufacturing processes (and equipment) are being used. Learn how to use it to your advantage.
In effort to help manufacturers harness the power of predictive maintenance, we’ll be covering all of the details—what is it, why you need it, how to do it and some examples.
If you’ve ever been confused by the diversity of machine learning algorithms, this post is your path to clarify. Take a look!
With profit-sensitive scoring, organizations can gain critical insights into the impact that models have on an enterprise’s bottom line. Here’s how.
Waiting on perfect data to start a machine learning project is troublesome. Instead, ask yourself what makes data good enough for the project to have an impact. Here’s why.
Keeping college students engaged has often been a struggle for institutions. Learn how to predict students who are at risk of dropping out using advanced data analytics.
There’s no doubt about it—machine learning and artificial intelligence have significantly changed our world over the last few decades. Every day there seems to be a
Whether you’re new to data science or extremely experienced – mistakes happen. Here we’ll look at some of the most common data science mistakes and how to avoid them.
We’re announcing RapidMiner 9.7, which continues our mission to put people at the center of the AI journey. Get details on the latest enhancements here.
RapidMiner Server is now RapidMiner AI Hub – designed to connect AI to people, processes & technology. But why the change? We explain here.
Heard the buzz about the many benefits of AI, but curious about how it actually delivers? Here are 15 remarkable applications of how companies used AI to transform their business.
Get ahead of inevitable supply chain disruptions and avoid any serious long-term impacts. Here are best practices and tips that organizations should implement today.
Many production processes are done in batches. If your manufacturing organization works this way, you need to be careful in how to use your data. Here’s how to handle it.
Predictive analytics enables marketers to transform data into actionable insights & continuously improve strategies. Here are 10 ways it can be used to drive performance.
Here are a few examples of how humanitarians have leveraged the power of artificial intelligence to assist victims of disasters and others in need.
If you’ve recently found yourself with some extra time on your hands and wanting to improve your data science skills, this post is for you. Take a look!
Python’s popular for machine learning, but it can also have some downsides at the enterprise level. This post explores the pros, cons, and how we can help.
We’re breaking the species barrier in our mission to bring data science to everyone by using the power of data science to improve our pets’ lives.
In supervised learning, model training uses data with known outcomes, while in unsupervised learning, the data doesn’t have a known outcome. So which is best for your use case? Read on to find out!
Let’s become better data scientists by avoiding common pitfalls. Follow these basic principles to make your machine learning projects more impactful.
Resilience is the new accuracy in data science projects. Here’s why your “best” model might not be the best at all…
With Jupyter Notebooks baked into RapidMiner 9.6, coders have a powerful new tool to share projects with coworkers. Read on to find out all the details!
With our latest release, we’re letting anyone shape the future for the better, regardless of their background or skillset. Check out the highlights in this blog post.
Did you miss Wisdom 2020? Or do you want to relive all the fun? This blog post is for you!
What’s coming down the pipe for AI and machine learning in 2020 and beyond?
Natural language processing is changing how companies understand their data. See what it can do for you.
Digital twins are poised to be the next big thing in manufacturing. Learn how they can help support your processes and workflows.
With the holiday season upon us, we wanted to update you about three new features available today in RapidMiner Studio.
Thinking about coming to Boston for our 2020 user conference Wisdom? Here are six of the top things you’ll have FOMO about if you don’t attend.
Detecting model drift is a key component of model impact and maintenance. These tips will help you evaluate drift correctly.
Learn about RapidMiner Managed Server, our services offering to install, configure, and maintain a RapidMiner environment for you.
Learn about two phenomena: change of concept and drift of concept which demonstrate why models can’t just be put into deployment forever.
Organizations are struggling to deliver the promised benefits of data science. We call this the ‘model impact epidemic’ and this post examines the macro trends that allow the epidemic to spread freely.
We are proud to announce 5 new operators added across the Operator Toolbox and Smile extensions. Here’s an overview of these extensions and what’s new.