Fintech industry has been quickly adopting Artificial Intelligence, from... - Deepstash

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Fintech industry has been quickly adopting Artificial Intelligence, from automating basic tasks to advanced operations like fraud detection, providing personalised customer service, and delivering strategic financial advice.

The adoption of enhanced data analytics, machine learning algorithms and Generative AI has opened up new opportunities, fundamentally improving the operational dynamics of financial services.

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In trading, Credit scoring, Fraud detection, customer service chatbots, Robo advisors, Compliance and AML, User authentication

AREAS OF APPLICATIONS

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JPMorgan Chase uses anomaly detection algorithms to flag unusual transactions or activities that do not fit the customer’s profile. It also uses Natural Language Processing techniques to analyze customer interactions and identify potential fraud.

USE CASE - JP MORGAN CHASE

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Klarna, a Swedish fintech company, introduced an AI assistant developed by OpenAI, which managed 2.3 million customer service chats in 35 languages within a month, effectively handling work of 700 full-time agents and simplifying the process of refunds and returns for ...

USE CASE - KLARNA

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Robo advisors

Robo advisors

Leveraging AI, robo-advisors provide personalised investment advice at a fraction of the cost of human advisors.

These platforms analyse individual financial goals, risk tolerance, and investment preferences to create customized in...

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Betterment, a pioneer robo-advisor, has expanded its offerings over a decade, adding cryptocurrency investing to its sophisticated platform, earning Forbes Advisor’s title as the best robo-advisor.

USE CASE - BETTERMENT

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Compliance and Anti-Money Laundering

Compliance and Anti-Money Laundering

AI can automate the monitoring and reporting processes that are required for compliance, efficiently scanning transactions for suspicious activities and ensuring adherence to regulatory standards.

This automation reduces the risk o...

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In 2019, HSBC introduced an AI system for AML, using machine learning to spot suspicious transactions, cutting review time, enhancing accuracy, and saving $400,000 annually.

USE CASE - HSBC

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In trading

In trading

AI-driven algorithmic trading platforms analyse large datasets to predict market movements and optimise trading strategies. These platforms use historical and real-time market data, applying complex algorithms to identify profitable trading opportunities.

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ID Finance, a fintech firm based in Spain, is an online consumer lending platform that has credit scoring and risk management system built using sophisticated ML techniques.

USE CASE - ID FINANCE

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Fraud detection

Fraud detection

AI systems excel in identifying and preventing fraudulent activities in real-time by learning from transaction patterns. They can dynamically adapt to new fraudulent techniques, unlike static rule-based systems.

AI can analyse custo...

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Customer service chatbots

Customer service chatbots

AI-powered chatbots offer personalised customer service experiences, available 24/7, without the need for human intervention.

These chatbots can handle a range of inquiries, from account balance requests to transaction disputes, le...

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Credit scoring

Credit scoring

In lending and credit scoring, AI improves decision-making processes. Traditional credit scoring methods often overlook potential creditworthy candidates as it works on general rule based approach.

AI models can build more accurate models f...

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User authentication

User authentication

Advanced AI technologies, including biometric and behavioural analysis, provide secure and user-friendly methods for customer authentication.

Facial recognition, fingerprint scanning, and voice recognition enhance security while of...

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36 reads

CURATED FROM

CURATED BY

rajaathota72

Serial Entrepreneur | AI ML and Blockchain

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