What impact will AI and ML technologies have on the manufacturing industry? Find out in this Q&A with Ralf Klinkenberg, Co-Founder and General Manager at RapidMiner.
RapidMiner, a leading enterprise AI platform for people of all skill levels, today announced that it has been recognized as a Visionary in the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms report.
RapidMiner partnership with Hivecell drives the Industry 4.0 revolution to the edge by enabling real-time AI.
Ingo Mierswa outlines why the manufacturing industry creates the perfect environment for machine learning to live up to its potential.
RapidMiner surveyed a number of employees who work on the front lines of model training and deployment to put together the top 6 AI predictions for 2021.
Many use the accuracy of models to measure success. Ingo suggests that measuring model resilience gives us a much more accurate indication. Find out why.
RapidMiner has been recognized as a Leader in The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning, Q3 2020. Read more.
RapidMiner‘s CEO and President, Peter Lee, was featured in the first episode of The Bowdoin Group’s new podcast series “Decoding the Journey: Stories from the Technology C-Suite.”
MLOps is a new concept in the AI world, and stands for “machine learning operations.” Learn how to most effectively use it for development, deployment and the monitoring of models.
RapidMiner was named a Customers’ Choice in the July 2020 Gartner Peer Insights’ Report ‘Voice of the Customer’: Data Science and Machine Learning Platforms.
RapidMiner announced update 9.7, prioritizing the team element of successful data science projects by empowering users of varying backgrounds and abilities.
Check out this article from Forbes, featuring Ingo Mierswa, Founder at RapidMiner. You’ll learn what deep learning is, why it’s so important, and the challenges that come along with it.
Check out this article from Forbes, featuring Ingo Mierswa, Founder at RapidMiner. You can learn about machine learning – some of its best use cases and most common challenges that arise.
Check out this interview with Unite.AI and Ingo Mierswa, Founder at RapidMiner. You’ll learn about the inspiration behind launching RapidMiner, the full transparency governance being utilized and much more.
RapidMiner announced a new library of enterprise AI case studies, a new strategic partnership, and the continued growth of RapidMiner Academy.
Check out this article from The Enterprisers Project, featuring Ingo Mierswa, Founder at RapidMiner. You’ll learn all about the different types of artificial intelligence and their respective uses.
Read this article from Speech Technology Magazine featuring Chris Doty, Content Marketing Manager at RapidMiner. Learn how human biases can creep their way into artificial intelligence systems, and how to prevent it.
RapidMiner announced the release of its platform enhancement, RapidMiner 9.6. This update prioritizes people – not technology – at the center of the enterprise AI journey.
Worldwide spend on AI is expected to grow to $37.5 billion dollars this year (IDC), however there’s been increased awareness of a set of issues that are preventing many organizations from operationalizing the models they’re building and maximizing the investments that are being made.
Artificial intelligence is coming to the masses.It wasn’t long ago that AI was the exclusive domain of data scientists. But now, industries as diverse as retailing, manufacturing, finance and insurance are taking advantage of new products that make it much easier for businesses to create AI tools specific to their needs.
RapidMiner, the leading data science platform for analytics teams, today announced that Gartner, Inc. has positioned RapidMiner in the Leaders quadrant of the 2019 Magic Quadrant for Data Science and Machine-Learning Platforms(1). RapidMiner was positioned the highest on the ability to execute axis in the Leaders quadrant. RapidMiner believes this placement reflects its long history of delivering transformative business impact to its enterprise customers across the globe.
RapidMiner, the leading data science platform for analytics teams, was named a 2018 Gartner Peer Insights Customers’ Choice for Data Science and Machine-Learning Platforms. Gartner defines Data Science and Machine-Learning Platforms as software products that data scientists use to help them develop and deploy their own data science and machine-learning solutions.
RapidMiner™, the leading data science platform for analytics teams, today announced the RapidMiner AI Cloud, a unified SaaS platform designed to make it easy for teams to build, train, manage, and deploy predictive models in the cloud. AI Cloud provides a suite of applications for the entire analytics team, including everyone from data scientists to business analysts to subject matter experts like engineers and scientists.
RapidMiner, the leading data science platform for teams, announced that it was named a Leader in the Forrester Research, Inc. report: “The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning Solutions, Q3 2018.” Forrester included 13 vendors in this assessment and found that RapidMiner offers “the most productivity-enhancing automated model creation features available.” The report goes on to note that “RapidMiner is a particularly good choice for organizations looking to scale the use of machine learning broadly.”
RapidMiner™, the leading data science platform for analytics teams, announced the immediate availability of RapidMiner 9.0 with Turbo Prep. According to a recent Harvard Business Review publication, analytics teams spend 80% of their time preparing data, slowed by clunky data prep tools and scarce data science expertise. Turbo Prep is a new product from RapidMiner that accelerates time-consuming data prep tasks to speed the productivity of analytics teams.
RapidMiner, the data science platform for analytics teams, today announced the launch of the RapidMiner Embed ML partner program. Independent software vendor (ISV) and managed analytics service provider (MASP) solutions can now easily embed prescriptive analytics into business applications to drive revenue, reduce costs, and avoid risks.
RapidMiner Inc., the data science platform for analytics teams, announced today that its RapidMiner Radoop is certified on the MapR Data Platform. RapidMiner Radoop eliminates the complexity of data prep and machine learning on Hadoop and Spark through its visual workflow approach and automatic code generation. The combination of RapidMiner Radoop and the MapR Data Platform provides easy access to big data for data science at enterprise scale.
RapidMiner, the data science platform for analytics teams, announced today at Informatica World that it has formed a partnership with Informatica, the Enterprise Cloud Data Management leader. Through this new partnership, Informatica users can now embed predictive models created in RapidMiner inside Informatica data pipelines, empowering business teams to take specific actions based on prescriptive recommendations.
RapidMiner, the company that delivers real data science, fast and simple, today announced that Gartner, Inc. has positioned RapidMiner in the Leaders quadrant of the 2018 Magic Quadrant for Data Science and Machine-Learning Platforms. According to Gartner, “Data science and machine-learning platforms enable organizations to take an end-to-end approach to building and deploying data science models.”
RapidMiner™, the company that delivers real data science, fast and simple, announced another quarter of record revenue for its Q4 2017. Q4 builds on a strong year that saw RapidMiner exceed its goals for new customer acquisition, user community growth, and deployments by the largest global enterprises.
Sign up here to get what’s hot in data science, machine learning, and artificial intelligence delivered to your inbox every Friday.
