Intelligent software platform addressing data quality issues in machine learning application to facilitate regulatory compliance

Short summary Swiss software company offers an innovative artificial intelligence (AI) platform with focus on data quality. It allows to identify data flaws that limit business models’ performance and facilitates regulatory compliance, e.g. with the upcoming EU AI act. The company enables innovation through fast and efficient experimentation. Looking for telecommunication and finance companies to conclude either a commercial agreement with technical assistance or a license agreement.

Full description The product is designed for companies looking for a smart solution to help them reaching the regulatory requirements of the upcoming EU AI act. Trough identification of sources of bias and a clear methodology, business models can be improved in regard to fairer business models which contributes to more equality in society. Companies looking to innovate their business models and make them more customer-centric and data-driven to stay ahead of the competition can benefit from using Artificial Intelligence technology to harness the power of their data. However poor data quality, organizational challenges, lack of internal cooperation, difficulties in identifying high impact use cases, can hamper these innovation efforts and cause the failure of AI projects. With a Data-Centric AI approach the company tries to lower the above-mentioned challenges for more successful AI initiatives which deliver value to the business. Being able to focus on the success metrics of their customers use cases and following a guided and objective-oriented approach to data cleaning, users of the platform are enabled to go through fast experimentation cycles to maximize the chances of commercial success of their AI initiatives. The company approach is completely unique in identifying the marginal contribution of single observations in the dataset that have a big impact to the performance of AI models. Players in the telecommunication and finance space can particularly benefit from the use of the technology by customizing their products and services to their clients’ needs, identifying new revenue streams and increasing low value-added processes efficiency. The company is looking into entering Proof of Concepts (POCs) and commercial agreements with companies in the above fields to further prove the uniqueness of their technology and gather feedback on success metrics of their AI initiatives.

Advantages and innovations The AI platform offers the following advantages: - Facilitates compliance with the upcoming regulatory requirements of the European Union Artificial Intelligence (EU AI) Act - Identification of sources of bias and clear methodology to improve models fairness for better societal outcomes - Comprehensive and systematic solution to data quality issues that can limit the success of AI initiatives - AI performance improvement obtained by leveraging on data quality with an iterative feedback loop between data and models - Faster experimentation and shorter time to market (from several months to weeks for model commercial deployment) - Fosters cooperation between technical teams and business domain experts - Frees data scientist from labor intensive data cleansing tasks (from several weeks to few days)
Contact / source: NEXT EEN Widgets (europa.eu)