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2018-05-14

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dr martens shoes canberra act wikipedia wikipedia
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dr martens shoes canberra act wikipedia wikipedia

AI For

Better Finance

GLOBAL

TOP TALENTS

AI CREATES

VALUE FOR ALL

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AI analysis and decision-making solutions for financial
institutions and other data-rich industries.
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200 years of Financial Knowledge Became an AI

Based on the Econometrics and Discrete Choice model, a Nobel prized (2000) theorem, AIZEN developed, trained, and validated its AI technology using past financial data.

AIZEN’s AI can automate Big Data analysis and predict key financial behaviors using machine learning, deep learning and machine reasoning.

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AI Creates Value for All

Behavior prediction by AI is fundamental, flexible, and widely applicable not only to finance but also to many other data-rich industries that are interested in exploring the benefits of AI.

Knowing customers’ behavioral patterns in advance allows companies to optimize business strategies and maximize profit for greater competitive edge in their industries.

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FinTech Leader of the World

AIZEN is rapidly expanding its business across South Korea, Japan and Hong Kong.

With its own cutting-edge AI technology, AIZEN is leading the 4th Industrial Revolution along with global partner companies around the world.

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ABACUS

A real-time AI platform, specialized in Retail Banking and Insurance

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SERVICE

AI business applications in core decision-making process in Finance

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Based on specialized know-hows in Finance and AI, AIZEN turn business pain points into data forms that can be solved by machine learning.

We apply AI to real use cases across key business value chains, based on domain-specific algorithms, industry-leading expertise and know-hows in Finance and AI

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Our AI-driven Automatic Credit Cycle Control Module(ACCM) allows banks to easily monitor, predict and control the entire personal loan portfolio in a single platform.

We create real-time applications to help insurance companies to harness AI to make their day-to-day operations more efficient and effective.

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