AI Solutions
- A framework for trustworthy AI in the insurance environment
In the insurance industry, the push for trustworthy AI is becoming increasingly significant, driven by regulatory bodies and consumer expectations for transparency and fairness in automated decisions. To align with EU guidelines and specific insurance industry regulations from EIOPA and BaFin, insurance companies are advised to adopt frameworks that ensure… Read more: A framework for trustworthy AI in the insurance environment - AI-powered supplier scouting helps Siemens procurement reduce time and workload
Siemens AG partnered with Scoutbee to leverage its AI-powered supplier scouting platform, significantly enhancing their procurement processes by automating the identification and evaluation of suppliers. This collaboration enabled Siemens to efficiently pinpoint high-quality suppliers globally, reducing their workload by up to 90% and markedly speeding up decision-making times. Scoutbee’s platform… Read more: AI-powered supplier scouting helps Siemens procurement reduce time and workload - Faster sustainability reporting with leadity & GenAI
Comma Soft and leadity have collaborated to streamline CSRD reporting for companies, leveraging generative AI to automate the generation of sustainability reports in compliance with the ESRS standard. This solution simplifies the complex task of documenting sustainability efforts by semantically searching and structuring data, thus minimizing manual data handling and… Read more: Faster sustainability reporting with leadity & GenAI - 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