Digital transformation is of crucial importance for companies in all sectors. It refers to the comprehensive use of digital technologies to optimise business processes, create new business models and change the way companies create added value for customers.
In the world of data science, it's all about combining these technologies to gain sound insights and develop innovative solutions to complex challenges.
Methods and tools
Data is being generated on an unprecedented scale. Data science offers methods and tools to analyse these masses of data, identify patterns and develop models. This enables companies to make informed decisions, increase operational efficiency and create innovative products and services. From forecasting market trends to optimising supply chains, companies can adapt with agility to the dynamic requirements of the digital age.
Data Science & Co.: You should know these terms
Big Data
Big Data
Big data refers to large amounts of data that are difficult to process due to their size, variety and speed. This data comes from various sources such as social media, sensors and transactions. The challenge is to extract meaningful information from these huge data sets. Big data technologies enable the storage, processing and analysis of this data to identify patterns, trends and insights that can be valuable to companies and organisations.
Datamining
Datamining
Data mining refers to the systematic analysis of large data sets in order to discover hidden patterns and correlations. By uncovering relevant information, companies can gain better insights and optimise their processes.
The Internet of Things (IoT)
The Internet of Things (IoT)
The Internet of Things (IoT) networks physical devices and objects that are equipped with sensors, software and other technologies to collect data and communicate with each other. These devices are able to collect, send and receive information about their environment. The goal of IoT is to create an intelligent and automated environment in which devices can interact with each other to work more efficiently and provide value to the user. Examples of IoT applications include smart thermostats, networked household appliances, wearables and industrial sensors.
Artificial intelligence (AI)
Artificial intelligence (AI)
Artificial intelligence (AI) is a branch of computer science. It imitates human cognitive abilities by recognising and sorting information from input data. This intelligence can be based on programmed processes or generated by machine learning.
Machine learning
Machine learning
Machine learning is an area of artificial intelligence in which the computer uses algorithms to learn from data and perform tasks without being explicitly programmed. Instead of receiving specific instructions, the machine analyses patterns in the data and improves its performance over time. The goal is to create models that are able to make predictions or decisions based on new, unprogrammed data.
Mobile First Technologies
Mobile First Technologies
The "mobile first" approach means that technologies and applications are developed for mobile devices, such as smartphones and tablets, first. This reflects the increasing importance of mobile devices in our everyday lives.
Predictive Analytics
Predictive Analytics
Predictive analytics uses statistical algorithms and machine learning to predict future events. This helps companies to take preventative measures and make strategic decisions based on forecasts.
Artificial intelligence research in the Ruhr region
The Ruhr region benefits from several renowned universities and research institutions that are intensively involved in artificial intelligence. The long industrial tradition and experience are also reflected in research into artificial intelligence. The application of AI in industry, for example in automation and production, is an important area of research in the region.
Lamarr Institute for Machine Learning and Artificial Intelligence
The aim of the Machine Learning Rhine-Ruhr Competence Centre is to bring machine learning technologies in Germany to a world-leading level. The ML2R centre is one of six nationwide hubs for artificial intelligence (AI) and machine learning (ML) funded by the Federal Ministry of Education and Research (BMBF). The Technical University of Dortmund, the Fraunhofer Institutes for Intelligent Analysis and Information Systems IAIS in Sankt Augustin and for Material Flow and Logistics IML in Dortmund and the University of Bonn are involved in the centre.
This might also interest you:
