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.
On demand WEBINAR with DATAROBOT from 23.04.2020
"Enough with the TrAIningslager! Score faster and better with AI and Automated Machine Learning"
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.
From BI to AI-driven platforms
HOW TO ENRICH YOUR BI-APPLICATIONS WITH AI AND MACHINE LEARNING CAPABILITIES
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:
- Machine learning benefits, basics, and best practices
- How automated machine learning complements the human element of domain expertise rather than eclipsing it
- How to ramp up data science capabilities with quick-win projects that deliver tangible ROI
- WHow business leaders and analysts use the DataRobot platform to develop and deploy high-quality machine learning models rapidly without prior programming knowledge
"Moving from Business Intelligence to Machine Learning with Automation"
Download the whitepaper to learn how automation, AI, and machine learning enable you to move beyond traditional reporting and look forward instead of backward.
Artificial Intelligence (AI)
Artificial intelligence (AI) Drives the Logical Development of Business Intelligence (BI)
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.
Artificial Intelligence & Automated Machine Learning – VIRTUAL DATE
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
WEBINAR AI und Automated Machine Learning - MANUFACTURING
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
WEBINAR AI und Automated Machine Learning - HEALTHCARE
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.
WEBINAR AI und Automated Machine Learning - ENERGY
In our Live-Webinar (04.05.2020 15h00 - 15h45) you will learn how automated machine learning with DataRobot can provide predictions on power consumption.
WEBINAR AI und Automated Machine Learning - TELECOMMUNIKATIONS
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.
Request a demo
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:
Models and predictions via the intuitive user interface
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.