AI Solutions

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

Prologis has significantly enhanced its operational processes by integrating Dataiku, a platform that democratizes AI, enabling analysts without coding expertise to develop and deploy models. This transformation began with moving their data management to a cloud-based system using Snowflake, which increased analytics modernization. With Dataiku, Prologis has expanded its AI… Read more: Democratizing AI with Dataiku, leveraging AutoML features to enable analysts to build and deploy models with no coding knowledge

Berlin Recycling partnered with AI developers to create a system that improves the assignment of drivers to waste collection tours, taking into account their health preferences and route desires. This AI-driven tour matching system not only increases driver satisfaction by aligning work assignments with personal health needs but also reduces… Read more: Ideal Tour Matchings for Better Health

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

In collaboration with MOSCA, we developed an AI tool designed to optimize the sequencing of parts in manufacturing processes. This AI application significantly enhances operational efficiency and resource utilization by reducing machine set-up times. The technology focuses on smart sequencing which allows high priority orders to be scheduled first, thus… Read more: SMART SEQUENCING FOR LOW SET-UP TIME

Diebold Nixdorf, a leader in IT solutions for retail banking and commerce sectors, has implemented AI-driven service engineering to enhance the efficiency of ATM service operations. Initially, ATM malfunctions were identified using basic rules without detailed action plans for technicians. By leveraging AI to analyze historical ATM data and service… Read more: AI-supported service engineering

GuideCom AG collaborated with Buildsimple to transform the time-consuming manual credit application process at Sparkassen, reducing processing time per transaction from over 10 minutes. By utilizing AI to automate document handling such as ID verification, payroll, and tax documents, the solution integrates seamlessly into GuideCom’s service cockpit via standardized APIs.… Read more: Utilising synergies: one solution for all savings banks. Automation of the loan application process

Westaflex, a German family-owned company specializing in climate and ventilation technology, faced challenges in manual production scheduling, which affected efficiency due to its complex requirements and multiple setup processes. To address this, they implemented an AI application that optimized the sequencing of production orders using data from ERP systems and… Read more: AI-supported production planning

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

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