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AI & Machine Learning

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  • A critical look at new technologies - Big Data, AI, Blockchain and IoE

    They make digital networking between people and machines possible in the first place. New technologies are changing our world. Accordingly, it is important for companies to continuously monitor innovative trends in order to identify and exploit opportunities for increasing efficiency and optimization potential at an early stage. But where there is light, there is also shadow. Today, we therefore take a critical look at some new technologies.

    TechnologyInga Schmidt7 minutes

  • Ethics, trust, and explainability in artificial intelligence (AI).

    As artificial intelligence (AI) continues to evolve at a rapid pace, becoming part of more and more business processes, and as regulatory and customer pressures continue to mount, we need to address some very deep ethical issues. AI designers and developers in particular can help reduce bias and discrimination by addressing these areas of ethical consideration and using supporting toolkits.

    EthicsBritta Daffner4 minutes

  • Content Automation - What Artificial Intelligence is Already Doing Today

    E-commerce companies are also increasingly turning to content automation, whereby product descriptions or category pages are generated automatically and integrated into the online store. The success of these companies is increasingly dependent on high-quality content, which should have as personal a relationship as possible with the customer. This can increase conversion and reduce return rates.

    E-CommerceDIGITAL BREAKFAST5 minutes

  • Neuromorphic Computing - Next Generation AI

    The development of artificial intelligence is progressing at a rapid pace. The next AI generation is already on the advance. And with this generation, we are getting closer and closer to the idea of approximating humans. This is because we are making use of a well-known concept from neuroscience - the function of spikes and neurons.

    AI & Machine LearningNicole Lontzek4 minutes

  • Understanding Consumer Behavior Patterns Through 3D Data Visualization

    Any business wants to spend its marketing dollars wisely. Creating campaigns that are general in nature likely won’t deliver high revenue. Instead, you want to target as precisely as possible based on your customers’ buying activities. We can all agree that consumer behavior patterns are shifting and changing. Many things impact these patterns, both internally and externally. The last year-plus shifted the consumer base tremendously. For example, 75 percent of consumers tried new brands and different ways of shopping since the beginning of the pandemic. Consumer behavior is a “live” data set, and deriving insights from it needs to happen quickly, so you can pivot to align with current motivations.

    DataVirtualitics - smarter decision through multi-dimension data visualizations and easy to use AI4 minutes

  • Industrial AI Applications - Beyond the PoC

    The advancements of AI in various areas of our life make it one of the most appreciated technologies today. Impressive successes have been achieved, and the expectations are constantly rising. A tendency to transfer technology from the consumer space to industrial applications is also observed in this area. However, according to several analysts papers, industrial AI projects never get beyond a PoC in approximately 75% of the cases. Why is that the case? Enthusiastically building on AI’s success in the consumer space often leave some important properties of industrial applications overlooked. In this article we list a few industrial challenges that have to be addressed to make an AI project successful.

    AI & Machine LearningChristopher Ganz7 minutes

  • Artificial Intelligence in Healthcare - Driver of Digitalization?

    The Corona pandemic has changed our behavior. Previously less frequently used technologies could benefit from this and positively influence the lives of people in lockdown. In this paper, the two authors show how the judicious use of Artificial Intelligence can drive healthcare as a whole towards digitalization. In the future, AI will autonomously research, analyze, and provide decision-making guidance for politicians, managers, scientists, and medical professionals.

    Healthcare & Social AffairsRalf H. KOMOR6 minutes

  • NLP explained - What is Natural Language Processing?

    Natural Language Processing (NLP for short) links the machine processing of natural language in computer science. Based on the natural and written or spoken language, the computer can analyze, understand and process the language of humans.

    TechnologyBastian Maiworm6 minutes

  • What is unstructured data? - Different types of data

    Unstructured data is information that exists in a non-normalized and non-identifiable data structure. Classically, this includes text, image, audio and video files that are not stored in databases. Especially in the environment of Big Data, unstructured data is of enormous importance.

    Beginner / BasicBastian Maiworm4 minutes