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Global Veritas Challenge Winners Advance the Cause of Economic Inclusion

Demyst and TruEra combine external data and artificial intelligence to improve fairness and accuracy in credit evaluation.

Demyst Logo (PRNewsfoto/DemystData)

News provided by

DemystData

Dec 13, 2021, 12:07 ET

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SINGAPORE, Dec. 13, 2021 /PRNewswire/ -- Demyst, the provider of a market-leading platform that accelerates the deployment of external data solutions for the world's leading banks, insurers, and fintechs, and its partner TruEra, a provider of purpose-built Artificial Intelligence (AI) Quality solutions, were named as winners of the inaugural Global Veritas Challenge 2021. The Challenge was organized by the Monetary Authority of Singapore (MAS), the ASEAN Financial Innovation Network (AFIN), and Accenture.

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The goal of the Challenge was to spur innovation in AI and data analytics (AIDA) solutions for financial institutions (FIs). The winning project from Demyst and TruEra was recognized for its success in mitigating the effects of bias in credit scoring.

Demyst and TruEra combine external data and AI to improve fairness and accuracy in credit evaluation.

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The Demyst platform provided external data to build the project's machine learning–based credit scoring model. TruEra's AI solution defined protected groups and set fairness objectives, allowing it to analyze the model for evidence of bias and accuracy issues. Not only did the AI solution identify root causes contributing to the bias, it also conducted targeted interventions.

The collaboration between the two companies demonstrated the power of combining external data with AI quality management solutions to improve the accuracy and fairness of credit decisioning models.

Inequality and discrimination are areas of increasing concern for financial regulators around the world. MAS introduced a set of principles to promote fairness, ethics, accountability and transparency (FEAT) in Singapore's financial sector. The Veritas initiative lets FIs evaluate AIDA-driven solutions against the FEAT principles.

Scott Albin, General Manager, APAC at Demyst, explained that AI and Machine Learning (ML) models can be made more effective and fair by leveraging third-party data and tools for analyzing and monitoring ML models.

"Machine learning use cases can be both expanded and dramatically improved by the use of high quality, curated, and compliant external data," said Albin. "This project demonstrates the clear value of external data in improving accuracy and fairness."

About Demyst

Founded in 2010, Demyst provides a market-leading platform that accelerates deployment of external data solutions for the world's leading banks, insurers and fintech companies. The Demyst platform unlocks innovation and drives business growth by eliminating the friction associated with external data procurement, testing, and deployment. Demyst has operations and clients across APAC, North America, Europe, and South America.

About TruEra

TruEra provides the first suite of AI Quality solutions that help enterprises analyze machine learning, improve and monitor model quality, and build trust. Powered by enterprise-class Artificial Intelligence (AI) Explainability technology based on six years of research at Carnegie Mellon University, the TruEra platform helps eliminate the black box surrounding widely used AI and ML technologies. This visibility leads to higher quality, explainable models that sustainably achieve measurable business results, address unfair bias, and ensure governance and compliance.

Contact:
Simone Spencer
[email protected]

SOURCE DemystData

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