Your advantages for the use of AI
- Discover alternative business models and new markets
- Go on the business offensive thanks to AI-powered modeling
- Optimize your business processes
- Integrate AI into your existing IT system landscape
AI made by abat: Digital support for your processes
Human learning and thinking is unique. But digital memory, consisting of bits and bytes, is slowly but surely catching up with humans. Artificial intelligence (AI) is much more than hype. The beginning of this development goes back to 1956, but it was not until after the turn of the millennium that computing power and data storage provided real success. Today, this includes character and text recognition, speech recognition and output, and automatic translation. Artificial intelligence is becoming more like humans in terms of thinking and acting. To make the most of the potential for your company, it is therefore important to get to grips with AI today.
Whether machines or plants, medicine or industry, gaming or security, speech or text: Use this diversity for your company. Our experts will support you along the way. With solutions tailored to you, from in-depth analysis to individual programming.
In cooperation with the University of Oldenburg, the University of Applied Sciences Kaiserslautern (at the Zweibrücken site), the University Hospital Homburg, the DFKI, and the University of Applied Sciences Saarland, the AI team at abat is researching the consistent further development of object processing and segmentation.
The most important AI development fields with which abat drives your business forward
- Reinforcement Learning
- Data Science
- Computational Linguistics
- Computer Vision
Reinforcement Learning
The focus of this method of machine learning is to train algorithms to make independent decisions. This feature of AI is an intelligent solution, especially for complex control processes. In practice, the method delivers significant advantages, such as:
- Increasing efficiency, for example in the planning of the material flow
- Realization of abstract high-level solutions: Optimization of decision management (AI learns to make good decisions and avoid bad ones).
Reinforcement learning can thus ensure a significant improvement in complex processes in terms of time and quality, from the individual process part to different trades among themselves. This reduces idle time and downtime, for example in automotive production (between painting and assembly). Production lines can be optimally utilized, while errors and gaps in the process can be minimized.
Data Science
Simply put, Data Science is the extraction of actionable information from raw data. The definitive goal of Data Science is to identify and exploit patterns, trends, connections, and relationships between data. Data sets can be past, present, or future (predictive analytics). In complex or even security-relevant systems, Data Science already provides a safety net that cannot be imagined without.
Example: medicine. From routine interventions to complex, vital operations, data helps to make the right decisions in the best interest of the patient. All relevant data is made available, potential sources of error are prevented, and all actions taken before, during and after the operation are documented. A prognosis for the course, recommendations for action or insights for future operations are just a few of the many possibilities that Data Science has in store for this area alone.
Computational Linguistics
Computational linguistics and its results are the basis for software solutions in which language is central. This happens in particular
- in search engines
- in answering questions, e.g., through chat bots
- in the automatic correction of errors in text processing
- for online filters
- in speech recognition by voice assistants
- in the automatic translation of texts
Computer Vision
Meaningful information from images and videos? With computer vision, your IT learns to think, see, observe, and understand. Like the human eye, computer vision teaches the computer to estimate distances, recognize movement and evaluate details in images. Instead of the retina, cameras, data, and algorithms come to the fore.
Reinforcement Learning
Reinforcement Learning
The focus of this method of machine learning is to train algorithms to make independent decisions. This feature of AI is an intelligent solution, especially for complex control processes. In practice, the method delivers significant advantages, such as:
- Increasing efficiency, for example in the planning of the material flow
- Realization of abstract high-level solutions: Optimization of decision management (AI learns to make good decisions and avoid bad ones).
Reinforcement learning can thus ensure a significant improvement in complex processes in terms of time and quality, from the individual process part to different trades among themselves. This reduces idle time and downtime, for example in automotive production (between painting and assembly). Production lines can be optimally utilized, while errors and gaps in the process can be minimized.
Data Science
Data Science
Simply put, Data Science is the extraction of actionable information from raw data. The definitive goal of Data Science is to identify and exploit patterns, trends, connections, and relationships between data. Data sets can be past, present, or future (predictive analytics). In complex or even security-relevant systems, Data Science already provides a safety net that cannot be imagined without.
Example: medicine. From routine interventions to complex, vital operations, data helps to make the right decisions in the best interest of the patient. All relevant data is made available, potential sources of error are prevented, and all actions taken before, during and after the operation are documented. A prognosis for the course, recommendations for action or insights for future operations are just a few of the many possibilities that Data Science has in store for this area alone.
Computational Linguistics
Computational Linguistics
Computational linguistics and its results are the basis for software solutions in which language is central. This happens in particular
- in search engines
- in answering questions, e.g., through chat bots
- in the automatic correction of errors in text processing
- for online filters
- in speech recognition by voice assistants
- in the automatic translation of texts
Computer Vision
Computer Vision
Meaningful information from images and videos? With computer vision, your IT learns to think, see, observe, and understand. Like the human eye, computer vision teaches the computer to estimate distances, recognize movement and evaluate details in images. Instead of the retina, cameras, data, and algorithms come to the fore.
Drone-supported instead of hand-picked: Smart inventory made by abat
abat's AI expertise in practice: Our state-of-the-art algorithms help you maintain an overview. If you have large-scale warehouses, our SMARTSolution from abat is the answer. Using drones, QR and barcodes, item numbers and even optical features can be recognized and processed. In addition, computer vision can identify and count static objects in real time. This ensures a (partially) automated execution of your inventory and puts an end to high costs and tedious runs. The result: an inventory that is up to 90% less time-consuming thanks to AI support.
Our Success Stories
Volkswagen de México
abat and Volkswagen de México are working together on Automating High Value Operative Processes through Robotics Process Automation (RPA) Technology.
In 2021, Volkswagen de México and abat initiated the creation of logic robots (bots) that release administrative, logistic and production teams from manual repetitive activities within its processes.
Schnellecke Logistics
Virtual reality in automotive processes
Virtual reality training at Schnellecke Logistics USA. Joint development of a prototype scenario for a repackaging process in the automotive industry.
Audi México
Use of VR training
Interview with Juan Pablo Moreno, Process Planning and Logistic Information (M/PL-11) at Audi México about the development of a prototype for a safety process in the automotive industry.
Our customers in the area of transform
Our SMARTsolution
RPA Starter Package
Vivien
Consultant
Bremen
I like working at abat because there is a very pleasant, appreciative working atmosphere here with a lot of freedom. There is a lot of trust, so you also have the freedom to try out something new - but if it doesn't work out, there is also the necessary support. That's how I've learned so much! In addition, if you have problems while working in the home office, you can often quickly find colleagues who are happy to help you out via teams.
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