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KPMG & Binah.ai Partner to Solve Business Challenges for Financial Institutions

Out-Of-The-Box Data Science Use Cases Deliver Actionable Insights

KPMG Fintech Israel, a local partner of the leading global network of professional advisory services firms providing guidance to financial institutions, has selected Binah.ai as one of its selected fintech partners.

Binah.ai makes data science accessible with out-of-the-box financial services-focused use cases, combining signal processing and AI to deliver previously impossible levels of accuracy, stability and performance. Available use cases include tradable assets trend prediction, foreign exchange benchmarks, yield curve analysis, customer churn, sector profitability analysis, volatility analysis, and credit risk, among others.

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KPMG Global Fintech comprises professionals in more than 45 hubs around the world working closely with financial institutions and fintech companies to help them understand the signals of change, identify growth opportunities, and to develop and execute their strategic plans.

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“Our intensive selection process ensures that we choose only fintech providers that can directly address critical issues within the financial services industry,” says Ilanit Adesman, KPMG Fintech practice, KPMG Israel.

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Binah.ai delivers an end-to-end data science solution focused on business results. Its custom-built, proprietary, comprehensive mathematical back-end leverages signal processing to strengthen data value. Signal processing helps eliminate the outliers, create cleaner data, and reduce the noise to deliver a better overall data set – accelerating the path from challenge to solution. Binah’s technology can use any data set, meaning the financial institution can use its own data or publicly available information to drive results.

“Binah.ai focuses on simplicity,” said David Maman, CEO, CTO & Co-founder of Binah.ai. “Our technology allows financial institutions to increase profit and reduce costs without requiring millions in investment in digital transformation.”

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