We are at the beginning of a groundbreaking era. Innovation and pioneering spirit are redefining the boundaries of what's possible.
Artificial intelligence
The Future is now
Data Mesh
Machine Learning
Foundation Model
Data Lake
Artificial Intelligence
Computer Vision
Emotion AI
Emotion AI
Computer Vision
Artificial Intelligence
Data Lake
Foundation Model
Machine Learning
Data Mesh
Deep Learning
Foundation Model
Computer Vision
Data Lake
Data Mesh
Predictive Analytics
AI? We got you covered!
-
AI-powered IT modernisation
Exxfer transforms legacy systems into efficient, high-quality software solutions using artificial intelligence.
It recognises and solves even the most complex IT modernisation challenges – for unlimited potential and stronger business results.
-
AI in customer service
Generative artificial intelligence (AI) has had a firm grip on companies since 2021.
A groundbreaking technology that is also driving the development of powerful chatbots. In 2023, they are taking human-machine interaction to a whole new level.
-
Data & AI
Collecting data is not enough. It only becomes valuable when used correctly.
With the right analyses and AI-based methods, we get the most out of all data - for more efficiency, optimised revenue channels and new, successful business models.
-
Automation and efficiency increase
-
Predictive analysis and decision making
-
Personalisation and customer loyalty
-
Innovative products and services
-
AI-Revolution made easy
Connect AI-Revolution made easy
Let's talk AI
André Lindenberg
Fellow
+49 172 9927164
"We are experiencing an IPhone moment right now. We know decide how AI will revolutionise the way we think and work."
Join the newsletter
Questions about questions?
Artificial intelligence (AI) is a field of computer science that deals with creating systems that can do tasks that normally require human intelligence. These include things like learning, perception, problem solving, speech recognition and decision making.
AI uses algorithms and models to enable machines to "learn". This is often done through pattern recognition and inference. There are different types of AI, including machine learning, where machines analyse and learn from data, and deep learning, a subset of machine learning that uses neural networks to recognise complex patterns in millions of pieces of data.
Artificial intelligence has a multitude of applications in many different fields. These include healthcare, finance, transport, retail, education and more. AI can be used to predict trends, improve the customer experience, diagnose diseases, automate tasks and much more.
Artificial intelligence, machine learning and deep learning are all related, but they are not the same thing. Artificial intelligence is the broadest term and refers to machines or systems that exhibit human-like intelligence. Machine learning is a method of achieving AI where machines analyse data and learn from it. Deep learning is a specific type of machine learning based on artificial neural networks that can recognise complex patterns in large amounts of data.
Generative AI refers to systems that are able to generate new content or data that is indistinguishable from human data. This type of AI can be used in a variety of areas, including the creation of images, music, speech or text. A well-known example of generative AI is Generative Adversarial Networks (GANs), where two AI systems work together in a 'competition' to produce increasingly realistic data.