Machine Learning, Artificial Intelligence (AI), Deep Learning, Analytics and Data Science are currently fueling discussions on business, society, politics and culture.
If you are wondering what this means for your business, you are in the right place!
Data mining is the classical approach to analyze structured data. For this purpose, either directly measurable values such as the temperature during a production process or values derived therefrom are used as inputs for the machine learning process. In this way, the instructions for future events can be derived from historical data.
Text and spoken language are mostly used for communication between people. For this unstructured data, recent advances in machine analysis of text and spoken language allow for a variety of novel uses. Chatbots and other language assistants are just the beginning!
Photos and videos contain information rather implicitly. While relatively easy to capture, extraction of relevant data requires highly complex algorithms. Fortunately, there are pre-trained, deep neural networks that can be adapted to specific problems with the help of so-called transfer learning. This opens up completely new application scenarios for companies that do not have their own large amounts of data.
E-MAIL CLASSIFICATION
TEXT AND LANGUAGE PROCESSING
Respond quickly and effectively to customer inquiries.
UNDERSTANDING TEXTS
DATA MINING, TEXT AND LANGUAGE PROCESSING
Extract valuable information from texts.
INDOOR NAVIGATION
PICTURE AND VIDEO ANALYSIS, TEXT AND LANGUAGE PROCESSING
Improve the shopping experience of your customers.
INGREDIENTS DETECTION
PICTURE AND VIDEO ANALYSIS, TEXT AND LANGUAGE PROCESSING
Increase customer loyalty through innovative services.
Each data analysis project has its own characteristics and different requirements. It is particularly important to follow the established procedural models in order to make the course of a project as transparent, agile and efficient as possible. We use a combination of Design Thinking workshops, CRISP-DM and the Machine Learning Canvas in our Data Science projects.
● At an early stage, design thinking enables us to elaborate the project goals together with the customer.
● The CRISP-DM procedure model helps to structure the actual data science process for each use case.
● The Machine Learning Canvas is for documentation purpose.
Whether you have already carried out initial analysis projects yourself or are still at the very beginning – we are there to support and provide you with the right service at the right time.
Let your business benefit from our know-how in the design and implementation of individual solutions.
Additionally, we can also support you in building up know-how internally with our tailor-made workshops and trainings offered by the tarent Academy . Our offer ranges from introductory seminars to programming language-specific hands-on workshops.
1. c’t Magazine : Machine Learning in the Cloud with Google Datalab
2. Markant Magazine : Interview on AI in retail
3. Bandwidth Magazine: Interview on AI in the Housing Industry
4. Data Science Blog: AI vs Human – the future of humanity
5. Data Science Blog: Toolkits & Services for Semantic Text Analytics
6. Data Science Blog: Text mining with R
7. Data Science Blog: Control and control of Spark applications via REST
8. Tarent Blog: Historical Beginning of Robotics and Artificial Intelligence
9. Taranto blog: Robots, Asimov and the ancient Greeks
10. FrOSCon lecture: Art in times of AI and Blockchain (EN)
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Do you have any questions or are you interested in an informal consultation? We would be delighted to hear from you!
