AMAZON WEB SERVICES ( AWS )
MACHINE LEARNING
to software development , automatically reviewing code and providing intelligent recommendations for improvement .
Revolutionary Impact on Financial Services In the fintech and financial services sector , AWS ’ s machine learning solutions have been particularly transformative .
Banks and financial institutions leverage AWS ’ s ML capabilities for various critical applications , from fraud detection to risk assessment and personalised banking experiences .
For example , Capital One uses AWS ’ s ML services to detect fraudulent transactions in real-time , analysing millions of transactions daily to identify suspicious patterns and protect customers from financial crimes .
AWS ’ s impact on financial services extends to credit risk assessment and lending decisions . Companies like Affirm utilise AWS ’ s ML infrastructure to build sophisticated credit models that can evaluate creditworthiness beyond traditional metrics .
These models analyse hundreds of data points in real-time , enabling more accurate risk assessment and expanding access to financial services for underserved populations .
The company ’ s ML solutions have also revolutionised investment management and trading . Quantitative trading firms leverage AWS ’ s high-performance computing and ML capabilities to analyse market data , identify trading opportunities and execute strategies at scale .
AMAZON WEB SERVICES ( AWS )
HEADQUARTERS : SEATTLE , WASHINGTON , UNITED STATES
NUMBER OF EMPLOYEES : 200,000 +
MARKET CAP : AMAZON : US $ 1.78TN ( AS OF JANUARY 2024 )
NUMBER OF COUNTRIES : 100 +
98 March 2025