Fujitsu colabora con Informa D&B para incorporar la tecnología IA explicable para la industria de la información financiera-comercial

Fujitsu and Informa D&B: A New Era in Decision Making with Explainable AI Technology

Fujitsu, a leading global information technology company, has announced a collaboration with Informa D&B, the leading provider of business information in Spain and Portugal. This partnership aims to revolutionize decision-making processes by incorporating Explainable Artificial Intelligence (AI) technology.

Informa D&B is known for providing comprehensive commercial, sectoral, financial, and marketing insights on the local business landscape. With a database constantly updated by a team of over 200 data specialists, Informa offers highly reliable risk assessments to over 95% of financial institutions in Spain.

By integrating Fujitsu’s Explainable AI technology, this collaboration brings a new level of sophistication to decision-making processes. With this technology, the 4.5 million users of Informa in Spain will have access to highly sophisticated data in an agile and efficient manner, significantly improving the quality of business information solutions.

Under the agreement, Fujitsu will deploy Explainable AI technology to process and analyze large volumes of data, categorize them, and provide precise predictions with transparency and visibility. Fujitsu’s technology is designed to ensure trust and understanding at every step of the process, aligning with the highest ethical and regulatory standards set by the European Union.

This alliance addresses the need to tackle risks and fraud that are not limited to a single sector. In a world where risks, including financial fraud, have become increasingly sophisticated, Explainable AI technology is essential. Businesses need to predict, explain, and extract information to mitigate risks across a range of financial fraud scenarios.

The value of Explainable AI technology lies in addressing the so-called «black box» phenomenon in AI. It provides the foundation for predictions and conclusions made by the technology, increasing understanding, transparency, and trust. The technology provides information on how decisions are made and validates expected results. It identifies biases, outliers, or problems that require further investigation, ensuring decisions are made impartially based on accurate information and reinforcing the reliability of the results while mitigating the possibility of biases or inaccurate conclusions.

The use of Explainable AI technology brings numerous benefits, including improving AI performance, reducing biases derived from data quality analysis, enabling auditable accountability, and ensuring ethical compliance with industry standards. It helps understand why and how to detect risks or fraud and reduces false positives by increasing transparency.

Angeles Delgado, President of Fujitsu Spain, expressed satisfaction with the collaboration, stating that through this partnership, Explainable Artificial Intelligence (XAI) will demonstrate its full potential to Informa’s 4.5 million users in Spain, showcasing Fujitsu’s distinctive capabilities.

Juan M. Sainz, CEO of Informa D&B, highlighted the significance of applying XAI to models based on Informa’s essential database. He described it as a pivotal milestone and a qualitative leap in the solutions they offer. Innovation, reliability, and transparency are essential elements in their product development, and this project meets all these requirements.

In summary, Fujitsu and Informa D&B’s collaboration brings about a new era in decision making by incorporating Explainable AI technology. This technology enhances the quality of business information, ensures transparency, and mitigates risks across various financial fraud scenarios. With Fujitsu’s expertise and Informa’s comprehensive database, businesses in Spain can make informed decisions based on accurate and sophisticated data analysis.

Tags: Fujitsu, Explainable AI, Traditional AI, Incorporation of AI technology, Informa D&B, Business Information

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