Artificial Intelligence for production process automation
What is it about?
Why Emerging Technologies?
Emerging Technologies are ones that are market ready, but not yet adopted by a wider public. We actively invest into “new” technologies, evaluate their potential, and develop best practices. In doing so, we close the gap between research topics and production-ready solutions.
Gain technological advantage
New technologies often allow for more efficient processes. As technological leader you gain a cost advantage. We help you to identify fields for improvement, to choose the right methods, and implement new solutions.
New business models and markets
Disruptive technologies are ones that change an entire industry. In addition to continuously improving existing products and processes, we inspire to explore entirely new business models or market opportunities.
Internet of Things
Not only persons are using the Internet. It becomes more and more common to also connect vehicles, machines, devices and let them be online. We develop not only the platform allowing for such machine-2-machine communication but also a large variety of respective applications.
Augmented / Virtual Reality
With dedicated devices we can augment our real world with artificial objects and additional information. What would a new piece of furniture look like inside your living room? Where exactly on the surface of a work piece is this tiny imperfection that Quality Assurance detected? If needed we can enter entirely virtual worlds.
Blockchain gained a lot of attention thanks to Bitcoint, Ethereum, etc. However, crypto currencies are only one out of numerous applications of this technology. The basic principles such as publicity, immutability, condition based transactions are interesting in various domains – from smart contracts or machine-2-machine transaction to the digital notary’s office.
In fields such as Earth Observation you typically deal with petabytes of data. To be able to mange those massive amounts of data, you do not only need resceptive hardware resources, but also software dedicated to this scenario.
Data being a new raw material is nothing new. However, we only benefit if we are able to extract new insights and knowledge based upon data. The most important techniques here are visualization, model-training, and machine learning.
Artificial Intelligence: Natural Language Processing
Chatbots are a disruptive way of communication between humans and machines. Instead of learning commands we need to type in, we can control computers by natural language. By understanding our language, computer systems can also perform other tasks such as intelligent/semantic search within large numbers of unstructured documents.
Artificial Intelligence: Prediction
Prediction models can be trained based upon past observations and then make claims about the future. Typical application scenarios are the prediction of the demand for certain goods and services or the optimal timing for maintenance tasks.
Artificial Intelligence: Recommender
Recommender systems are well known from online shops. In addition to suggesting similar products, they can by now learn about the very personal taste of each individual customer.
Artificial Intelligence: Classification
Classifiers are decision makers. They, for example, distinguish if a produced part meets the quality requirements or not or into which category a customer inquiry has to be placed.
Artificial Intelligence: Computer Vision
By means of Computer Vision information can be extracted from images and videos. Current applications are the recognition of known persons or objects as well as quality assurance or diagnosis.
1. Technologies screening and selection
We are up-to-date with the new technologies. We actively invest into those that show high potential. We explore them in depth via funded projects, PoC implementations, etc. After a technology is proven, we continue with adopting it.
2. Get inspired!
In this step, we demonstrate what cutting edge technologies are capable of. Capability is proved with PoC implementation, show cases, or reference projects. In many cases, emerging technology allows for new business models. We show opportunities and chances.
3. Potential Value
We try to comprehend your situation and see how your business can benefit from applying new technologies. This involves, amongst other things, requirements engineering and business analysis. The result of this step are concrete ideas for innovation projects you can undertake.
When we start implementing, we present feasibility with prototypes. The goal is to, as soon as possible, verify that you will indeed benefit from the planned innovation. In this way we are minimizing risks, estimating future efforts, and exploring all possibilities
5. Production Readiness / Scaling
As the last step, when a new solution has been evaluated and passed the acceptance criteria, we are integrating it into your IT landscape. Also, by following cloud-native development principles, we easily scale it up to your demands – from 10 data sources to 10.000.000.
Contact us now, we’re happy to inspire you and to show you what cutting edge technologies are capable of. Let’s talk and see how they can make your business grow.
Artificial Intelligence and Computer Vision helping to keep track of the baggage
An intelligent and scalable system for managing airport ground assets, analyzing, optimizing and predicting their usage and performing optimal route and resource planning while respecting process requirements.
Wir arbeiten aktiv an der Gestaltung unserer Zukunft als Investor und Entwicklungspartner von HTT.
Mittels Machine Learning errechnen wir Wolkendaten aus einem Satelliten, der für andere Zwecke geschaffen wurde. So verbessern wir die ganze Prozesskette.