Our spin-off for business planning and simulation with Jedox.
Qlik Staige assists organizations in creating a reliable data infrastructure for AI, utilizing advanced analytics enhanced by AI, and implementing AI for more complex tasks.
Successfully mastering Power BI: Performance, complex DAX calculations and proven report development
With DataRobot, you can speed up your AI success today with innovative machine learning and the team you've built. Combining the knowledge, experience and best practices of the world's leading data scientists, the platform offers unmatched levels of automation, accuracy, visibility and collaboration to help you build an AI-driven enterprise.
DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods.
«DataRobot is technology neutral, but we want to make the solution available to our Qlik customers for productive use as a first step. They will get an easy introduction to AI, but the visualization will take place in their familiar Qlik environment.» - Rino Mentil (CEO & Founder Informatec)
Enough with the TrAIningslager! Score faster and better with AI and Automated Machine Learning
We show you with some practical examples how Automated Machine Learning based on DataRobot can help to quickly achieve better predictions. #makeAIeasy
To the Webinar recording (Language: German)
Webinar series "AI & Automated Machine Learning with DataRobot"
DataRobot offers an easy-to-use visual interface that works for business users and experienced data scientists. Simply select the target variable and click the start button to get the relevant data models.
Domain expertise is the key to developing effective predictive models. DataRobot enables business users to generate accurate models quickly and perform sophisticated data science functions directly.
With DataRobot, modeling projects follow a consistent methodology based on best practices so users can’t “forget” to perform a critical step, such as model validation.
DataRobot erstellt eine Rangliste, auf der Sie sehen können, welche Modelle mit Ihren Daten am besten funktionieren und bietet Ihnen die Werkzeuge, die Sie benötigen, um die einzelnen Datenmodelle zu vergleichen und zu erkunden.
DataRobot builds a leaderboard so you can see which models perform best with your data, and provides the tools you need to explore and compare individual models.
Uncover anomalies in a dataset with DataRobot's unsupervised ensemble blend model, which can offer new insights even in familiar datasets.
DataRobot creates the predictive modeling workflow for you. It knows what to do at each step of the process, and does it automatically, without prior programming or manual input from users.
DataRobot prepares data automatically, performing operations like one-hot encoding, missing imputation, text mining, and standardization to transform features for optimal results.
To harness the most advanced techniques, DataRobot uses open source machine learning libraries like R, scikit-learn, TensorFlow, Vowpal Wabbit, Spark ML, and XGBoost.
DataRobot automates model tuning, but also supports manual tuning so data scientists can tune and adjust machine learning algorithms for even better results.
DataRobot allows for classification on targets with up to 10 distinct values, offering both real-time and batch support for uncovering the predictive class and showing its probability across all classes.
Die Implementierung von Machine Learning Modellen in Analysewerkzeuge war früher zeitaufwändig und technisch anspruchsvoll. Mit der Partnerschaft von DataRobot und Qlik ist dies nicht mehr der Fall. Die Client- und Server-seitige Erweiterung Qlik2DataRobot sorgt dafür, dass Unternehmen aller Größenordnungen jetzt in kürzerer Zeit Einblicke erhalten, wodurch Geschäftsanwender die Möglichkeit erhalten, innerhalb jedes Analyse-Workflows automatisierte Entscheidungen über maschinelles Lernen zu treffen.
Qlik Sense brings together all of your data, and DataRobot empowers highly capable business analytics professionals to quickly build and deploy very accurate machine learning models without writing a single line of code.
The Qlik and DataRobot two-way integration enables organizations to deploy predictions in a fully interactive experience. Once a predictive model has been created and deployed in DataRobot, making predictions against the new data being generated each day is critical. Through a seamless request in a Qlik Sense application refresh, the new predictions are associated in your data model to drive insight. All of this is possible using the Qlik2DataRobot client and server-side extensions, which leverage the unique integration capabilities of the patented Qlik associative engine. Enterprises of all sizes can now get to predictive insight in less time with Qlik and DataRobot.
Leverage the Qlik Sense data engine to simplify data prep. Qlik Analyst prepares data in Qlik Sense and uses Qlik Connector for DataRobot to process. The Qlik Cognitive Engine drives augmented intelligence by working in conjunction with the associative engine, allowing people to combine their intuition with machine intelligence.
computer fast time chart prediction
Utilize automated model building to get better predictions, faster. DataRobot trains, tunes and tests models based on data scientist selections. Best model is identified, no coding required.
Provision batch and live predictions directly in Qlik Sense. Qlik Analyst deploys best model seamlessly into Qlik Sense and business users immediately access interactive predictive insights. Qlik Insight Advisor automatically generates suggested analytics and insights based on data and search.
Qlik’s open platform Server and Client side extension technology and the DataRobot connector for QLik completes the picture, integrating enterprise automated machine learning seamlessly into Qlik Sense.
Automated machine learning is a technology invented by DataRobot to automate many of the tasks needed to develop artificial intelligence (AI) and machine learning applications. Incorporating the knowledge and expertise of some of the world’s top data scientists, DataRobot enables more users across an enterprise to succeed with machine learning by simply utilizing their understanding of their data and business and letting DataRobot do the rest.
Operating at enterprise scale requires blazing performance, strict adherence to controls, and relentless focus on data protection. DataRobot is an enterprise-ready platform, delivering the governance, training, and world-class support your organization needs to quickly get up and running.
On-premise: You can deploy DataRobot onpremise on standalone servers, an existing Hadoop infrastructure, or in a Virtual Private Cloud (VPC).
Cloud: The DataRobot Cloud is hosted on Amazon Web Services (AWS), delivering the flexibility and speed necessary for any enterprise.
DataRobot leverages modern distributed processing, running experiments in parallel to radically reduce the time it takes to run a complete data science project.
With DataRobot, business users, data scientists, and stakeholders work together on machine learning projects to deliver better results with less wasted effort.
There are multiple options for deploying your finished models with DataRobot, including native scoring, exportable prediction code, and prediction APIs for real-time and batch scoring.
DataRobot’s Resource Monitor feature provides a view of platform usage across the organization, including which workers and models are taking up runtime, enabling effective resource planning.
DataRobot uses your Hadoop distribution’s application management services to distribute runtime libraries to Hadoop Data nodes. Working directly with HDFS, running predictions in DataRobot does not require a proprietary storage layer or the movement of data to an edge node. The DataRobot workload runs in YARN containers, so you do not need to partition your cluster to prevent resource conflicts.
No matter where your data resides – relational databases, Hadoop clusters, text files, or other sources – DataRobot quickly and easily connects to your data source.
Users can download DataRobot’s diagnostic charts, data, and documentation to share them with executives, stakeholders, and regulators.
DataRobot offers native security for fine-grained role-based authorization and supports Kerberos and LDAP protocols. In Hadoop, it works with your existing encryption policies.
Customizable rating tables allow users to edit and manipulate the tables according to their unique business rules, allowing for an optimal blend of machine learning and human experience.
Request here your access to the webinar-recording "AI - SIMPLY MAKE IT! FASTER TO BETTER PREVIEWS WITH KI AND AUTOMATED MACHINE LEARNING" from our B-B-BREAK VIRTUAL ROOM 2020 with DataRobot. Focus topic: Predictive maintenance in the field of manufacturing.
After entering your data you will receive the video link and the corresponding password via e-mail.
Datasheet Download (PDF)