Kisah Pelanggan / Layanan Keuangan / Amerika Serikat
Mastercard Menggunakan Layanan AI dan ML AWS untuk Mendeteksi dan Mencegah Penipuan
Dalam video ini, Manu Thapar, chief technology officer (CTO), Cyber & Intelligence di Mastercard, menjelaskan cara Mastercard menggunakan layanan kecerdasan buatan (AI) dan machine learning (ML) Amazon Web Services (AWS) untuk meningkatkan kemampuan deteksi penipuan secara global. Solusi ini memungkinkan Mastercard untuk mendeteksi tiga kali lebih banyak transaksi penipuan dan mengurangi positif palsu sepuluh kali lipat, yang pada akhirnya menghasilkan penghematan miliaran dolar dalam penghematan merchant dan memberikan pengalaman pelanggan yang lebih baik di seluruh dunia.
Perpaduan antara deteksi penipuan yang lebih baik dan positif palsu yang lebih rendah ini memberi para merchant solusi yang sangat berguna, sementara pelanggan akhir memiliki pengalaman pelanggan yang jauh lebih baik daripada sebelumnya."
Manu Thapar
CTO, Cyber & Intelligence, Mastercard
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North America
Modernizing Clearing Infrastructure Using AWS Countdown with M1 Finance
M1 Finance, a fintech startup, needed to innovate beyond third-party clearing services. Using AWS Countdown, M1 successfully built and migrated to its own cloud-based clearing solution, enabling greater control and innovation potential. -
United States
Speeding Up Security Forensics by 97.5% Using AWS Step Functions with OneMain Financial
OneMain Financial used AWS Step Functions and Amazon EC2 to build its own digital forensics solution, OneFor(ensics), saving costs and reducing the time between alert and investigation. -
Other
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Learn about Nomura's journey to democratize generative AI firm-wide using Llama models from Meta in Amazon Bedrock. -
Malaysia
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Deriv, one of the world’s largest online brokers, faced challenges accessing vast amounts of data spread across various platforms. It turned to AWS for help and adopted Amazon Q Business, a generative artificial intelligence (AI) tool, to retrieve and process data from multiple sources. By setting up connections to Slack, Google Docs, Google Drive, Web Crawler, and GitHub, Amazon Q Business quickly became integral across departments, including customer support, marketing, content creation, and recruiting. By leveraging Amazon Q Business, Deriv reduced the time spent onboarding new hires by 45 percent, minimized recruiting task times by 50 percent, and dramatically streamlined campaign management for marketing teams.
Mulai
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