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

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

TechData, a wholesale company with a revenue of $35 billion, implemented a global solution to standardize credit management workflows, leading to significant savings and efficiency gains. By integrating a system that automates credit scoring, monitoring, and currency conversion for financial reporting, the company achieved a 120% improvement in credit department… Read more: Recurring savings through global standardisation of credit workflow

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

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