In today's digital world, Big Data and Artificial Intelligence (AI) are two terms on everyone's lips. The question arises as to what these two phenomena have to do with each other and how they influence each other. In this blog post, we therefore want to explore the role of Big Data in training AI systems and find out how big data analysis can help improve AI systems.
The use of Artificial Intelligence (AI) in speech technology has changed the way we communicate with each other. AI systems allow us to overcome language barriers and have conversations in different languages. This can offer a variety of benefits, both for personal and business use. Here we present how you can benefit from it yourself.
Unsupervised learning is a Machine Learning technique that can detect patterns and relationships in data without relying on a pre-existing pattern. Unlike supervised learning, which trains an algorithm based on labeled data, unsupervised learning works with unlabeled data that is not characterized by a specific category or objective. In this way, new insights can be gleaned from the data that may not be detected using other methods. In this blog post, you will learn about the potential applications for unsupervised learning and the challenges we currently face.
In recent years, Blockchain Technology has established itself as one of the most important innovations in the digital world. Originally developed for the cryptocurrency Bitcoin, it has now found use cases beyond the financial world. One of these use cases relates to creating transparency in supply chains and promoting environmental and social standards. In this blog post, we will therefore take a closer look at the potential impact of Blockchain Technology on sustainable business.
The digital revolution has changed our lives in many ways. Big Data and the Internet of Things (IoT) are two key technologies that play a decisive role in this. But how are Big Data and IoT related? And how can Big Data analytics help collect, analyze and use data from connected devices to make intelligent decisions? In this blog post, we will explore these questions and also discuss why digital in metering does not automatically mean smart.
Climate change is one of the greatest challenges of our time. Not only politicians and governments, but also companies and private individuals are called upon to do their part. This is where artificial intelligence (AI) and machine learning (ML) come into play. In our article, we explain which application scenarios there are for AI in climate protection and what advantages result from them.
Artificial intelligence (AI) has become an important tool in many fields in recent years, from medicine to business to industry. However, AI systems also have their limitations. One of the biggest challenges in their use is explaining the decisions these systems make. For example, it is a legal requirement that financial institutions disclose how AI-based lending decisions were made and the criteria used to approve or reject loans. In this article, we will therefore take a closer look at how AIs make decisions and how they can be influenced or guided, if necessary.
Blockchain Technology has attracted a lot of attention in recent years, mostly because of its role in cryptocurrencies. However, blockchain also has the potential to revolutionize other industries, including the art world. In this blog post, we will explore how Blockchain Technology can be used in the art market to solve problems such as counterfeiting and theft.
Data has always played an important role in the energy industry. But with digital transformation and the increased emergence of Internet-of-Things (IoT) technologies, the amount of data has grown exponentially. This has led to a paradigm shift in the market, with Big Data analytics and Artificial Intelligence (AI) playing a central role. In this post, you will learn how the transformative power of Big Data is showing up in the energy sector.
ChatGPT is a powerful tool in the world of Artificial Intelligence (AI). It is a model that has been trained to understand and generate human speech. As such, ChatGPT is an example of a major language model type used in NLP (Natural Language Processing) to understand, generate, and translate text. Due to its disruptive potential, the solution is currently the talk of the town. Reason enough for us to present ChatGPT with its advantages and limitations.
Machine Learning is undoubtedly one of the most exciting subfields of Artificial Intelligence. It performs the task of learning from data with specific inputs for the machine. It is important to understand how Machine Learning works and what types of it exist. Therefore, this blog post will shed light on how Machine Learning is fundamentally designed to create targeted value for users.
Blockchain technology has the potential to greatly transform the energy sector. For example, the enterprise Ethereum Blockchain presents itself as an emerging technology that will drive growth in the energy sector through smart contracts and interoperability of systems. In our blog post, we therefore highlight what selected use cases for the energy market might look like.
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