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Advanced artificial intelligence technologies such as automated machine learning bring AI within reach for everyone. With these tools and technologies, organizations can put the power of machine learning in the hands of their technical specialists and data scientists. These advanced tools enable them to build machine learning models without writing a single line of code or having deep knowledge of algorithms.
Personal computers revolutionized the industry and provided people with tools to increase their creativity and productivity. The Internet came out and connected all of us. Smart devices like mobile phones and tablets gave us that power. Now comes the next revolution: AI and Machine Learning will reshape our future and everyone should participate in shaping it.
With terms such as Prescriptive Analytics, AI and Machine Learning, most people immediately think of highly complex computing processes and magic algorithms, for which one needs a deep knowledge to be able to handle them properly. Rocket scientists are not needed to identify and implement successful use cases. Many functions and roles in the company can already actively contribute to innovative AI projects by thinking ahead: What are our key challenges where automation can bring advantages? What data do we actually have or need in order to train ML models " smartly"?
As a result, many more employees with practical experience can influence important business decisions and help shape the future.
Athletes, no matter what sport, have never won a competition by playing exclusively on the training ground. Likewise, Data Scientists have never contributed to the creation of value in companies by exclusively training AI models. Neither "rocket scientists" nor huge "data swamps" are required to bring promising solutions (use cases) into production. We show you with some practical examples how Automated Machine Learning based on DataRobot can help to quickly achieve better predictions. #makeAIeasy.
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To enrich Business Intelligence solutions with AI-/Machine Learning functionalities do not have to be complicated.
By means of automation, the productivity of data scientist as well as the acceptance in business departments can be increased significantly - not least due to the seamless integration of BI software (like Qlik) and the DataRobot AI platform.
In the age of big data, it takes more than traditional business intelligence techniques and tools to make sense of all the information available to make optimal business decisions. Analysts that can leverage new machine learning and artificial intelligence (AI) technologies can uncover actionable insights that solve real-world business problems. However, many don’t have the time or desire to develop extensive new data science skill sets, or just don’t know where to start.
Analytics industry expert and founder of Impact Analytix, LLC Jen Underwood has a solution: the DataRobot automated machine learning platform. In the white paper “Moving from Business Intelligence to Machine Learning with Automation,” she shares:
Download the whitepaper to learn how automation, AI, and machine learning enable you to move beyond traditional reporting and look forward instead of backward.
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With AI-supported business intelligence, it is also possible to gain real-time insights and always ensure access to the latest data. In this way, despite the extremely high speed and rapid growth of data, strategic decisions can be made quickly and effectively. Business intelligence tools provide powerful dashboards using AI. These in turn provide the managers with business insights that they urgently need for their trend-setting decisions.
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Attend our series of webinars to learn about industry-specific use cases for the successful deployment of AI and ML technologies and how models can be trained to deliver accurate predictions. #prediction is now
In our Live-Webinar (26.03.2020 16h00 - 17h00) you will learn how automated machine learning with DataRobot can provide Predictive Maintenance to manufacturing companies
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In our Live-Webinar (04.05.2020 15h00 - 15h45) you will learn how automated machine learning with DataRobot can provide return predictions to identify patient re-admissions in the hospital system.
In our Live-Webinar (04.05.2020 15h00 - 15h45) you will learn how automated machine learning with DataRobot can provide predictions on power consumption.
On-demand Webinar Energy
In our Live-Webinar (18.05.2020 15h00 - 15h45) you will learn how automated machine learning with DataRobot can provide predictions on customer churn in the telecommunications industry.
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we’d like to invite you to experience a demo of DataRobot to see how we’ll help your organization take on high-impact machine learning initiatives. The DataRobot automated machine learning platform allows you to:
Develop highly-accurate predictive models in a fraction of the time of traditional methods
Democratize machine learning across your organization
Take charge of the predictive modeling process from development to deployment
Transform your organization into an AI-driven enterprise
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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.
Find out more about DATAROBOT