AI Solutions
- Data Processing – Simplify Orchestration Of Conditional Dw Data Loads to Automate the input of data from scrap weight documents into Excel and subsequent transfer into Oracle
TTX Company, a North American leader in railcar pooling, faced challenges with increasing document volumes due to its growing operations. To enhance efficiency, TTX partnered with Kognitos in 2023 to automate financial processes like scrap weight ticketing and accounts payable in Oracle, significantly reducing manual labor. The automation improved process… Read more: Data Processing – Simplify Orchestration Of Conditional Dw Data Loads to Automate the input of data from scrap weight documents into Excel and subsequent transfer into Oracle - Vehicle claims management: Automatic reading of workshop invoices
Riparo GmbH faced challenges managing a high volume of diverse workshop invoices that had to be manually entered into their system. To streamline this process, they partnered with Buildsimple to develop an AI solution that automatically reads invoices from over 100 different formats and structures the data into JSON files… Read more: Vehicle claims management: Automatic reading of workshop invoices - Time series analysis for shipping outdoor equipment through data warehousing
Our client, a major manufacturer and distributor of outdoor equipment, required a centralized platform for all its data to enhance advanced analytics of customer and business data. Niologic implemented a data warehouse based on Google BigQuery and developed a time series analysis for shipping, along with a machine learning algorithm… Read more: Time series analysis for shipping outdoor equipment through data warehousing - Automating Information Extraction with Named Entity Recognition and LLMs
Our project focused on automating the information extraction process from various data sources such as textual documents and database tables, utilizing Named Entity Recognition (NER) and advanced Language Models (LLMs). The main goal was to create an automated solution that could efficiently extract relevant information using NER and enrich metadata… Read more: Automating Information Extraction with Named Entity Recognition and LLMs - AI-supported decision support for haematology
At Leipzig University Hospital, haematologists faced the challenge of identifying relevant research papers for rare blood cancers and individual patient cases from the flood of new scientific publications. The clinic partnered with Merantix Momentum to develop an NLP-based solution that automatically filters and ranks clinical publications according to their relevance… Read more: AI-supported decision support for haematology