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Order packer • kampfelbach
Internship Semester : AI B2B Message Investigator and Mapping Assistant (all genders)
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Eurojob-ConsultingPforzheimProduct Safety Specialist Material Declaration
RocheWurttemberg, Germany- Gesponsert
German Junior Campaign Specialist – Google Ads
KAMPforzheim, Baden-WürttembergWarehouse Logistics Manager M / F / D
DSJ GlobalBaden-WürttembergExpert Operations Planning (m / w / d)
Avnet GermanyStutensee, GermanyEnterprise Account Executive, Eastern Europe (all genders)
TeamViewerKarlsruhe, BW, DE, 76227Global Key Account Manager with experience in the pharmaceutical industry
DatwylerKarlsbad-Ittersbach, DE, 76307Internship Semester : AI B2B Message Investigator and Mapping Assistant (all genders)
SEEBURGERBretten, DEExperience :
Student / Working Student
Accelerating business to improve the lives of people. This is our purpose statement and encapsulates what we enthusiastically do every day. We integrate our customers IT systems to make sure that the right data is at the right place at the right time when they digitalize their processes. Companies need their systems to talk to each other to ensure that cars roll off the factory line, that everyone receives their payments on time, and that you can buy what you need from a supermarket.
Our success story began in , when we helped the German automotive industry to digitalize their paper-based supply chains. Today, SEEBURGER is a leading global B2B software provider with more than 1, #businessaccelerators in 15 countries worldwide and over 10, satisfied customers that rely on our innovative solutions.
Topic
AI B2B Message Investigator and Mapping Assistant
Motivation and Goals
In B2B message exchange, standardized text messages are used for transactions such as purchase orders or invoices. Purchase order numbers can be similar to dates or appear in different places in different document types. Transformer models enable various NLP tasks such as classification of text, text substitution, summarization, and translation into another language.
Tasks
This work will first practically evaluate the potential of transformer technology for various NLP tasks involving B2B text messages. Then, a prototype will be developed to find values of individual elements in the messages. Complementary, e.g., the meaning of text fields will be captured, structure and flows will be traced, and mappings will be proposed. For the work, an AI computer with 4 Nvidia GPUs, as well as a text corpus from system documentation and blogs, and questions from the test run of the prototype are available.
Location : Karlsruhe and / or Bretten