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FinWise EYE ON:

FinWise EYE ON:

著者: FinWise Bank
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Keeping an EYE ON all things in the Fintech Banking universe. A podcast from FinWise Bank. www.finwise.bank. FINW.Copyright 2024 All rights reserved. 経済学
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  • Biometrics, Bots & Behavioral Clues: The Future of Fraud Detection with Soups Ranjan, CEO of Sardine AI
    2025/06/25

    Summary

    In this episode of the EYE ON: Fintech podcast, Kenzie Mexican speaks with Soups Ranjan, co-founder and CEO of Sardine AI, about the evolving landscape of fraud prevention in the financial services sector. They discuss the impact of AI on fraud tactics, the importance of behavioral biometrics, and how Sardine is addressing challenges like authorized push payment scams and synthetic identities. Supes shares insights on leadership in fraud prevention and the future of AI in enhancing compliance and risk management.

    Takeaways

    • Soups Ranjan has a PhD in electrical and computer engineering and has spent his career fighting fraud.
    • Sardine AI focuses on intrinsic behavior biometric features for identity verification.
    • AI is being used to streamline compliance and fraud operations, significantly reducing manual workloads.
    • Behavioral biometrics can detect anomalies in user behavior that indicate fraud.
    • Transparency in AI models builds trust with operations teams.
    • AI can help financial institutions increase their speed to revenue by automating processes.
    • Sardine's approach combines machine learning with rules-based systems for effective fraud detection.
    • The use of behavioral data does not involve personally identifiable information (PII).
    • Sardine's tools are designed to combat synthetic identities by cross-referencing multiple data points.
    • Leadership in fraud prevention requires being hands-on and understanding team challenges.

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    29 分
  • Unlocking the Secrets of Credit Card Programs - Miladys Felix, Discover Network
    2025/05/27

    Summary

    In this episode of the FinWise EYE ON: podcast, Sarah Grotta speaks with Miladys Felix from Discover Network about the intricacies of launching a successful credit card program. They discuss Miladys' career journey and the unique position of Discover Network in the global payments landscape. The conversation also covers innovations in payment solutions, the rise of fintechs in the credit card space, and the challenges involved in navigating the credit card value chain. Miladys emphasizes the importance of creating streamlined solutions for partners and the need for creativity in overcoming contractual and operational hurdles.

    Takeaways

    • Miladys Felix shares her journey into the payments industry.
    • Discover Network operates three brands: Discover, Diners Club, and Pulse.
    • Discover Network processed around 622 billion in spend value globally in 2024.
    • Innovations like tap on mobile and faster payments are gaining traction.
    • Fintechs are driving consumer loyalty through innovative credit card offerings.
    • Commercial credit cards are becoming essential for businesses to manage expenses.
    • The credit card value chain involves multiple players and complexities.
    • Creating a packaged solution can simplify the go-to-market process for partners.
    • Understanding roles and responsibilities is crucial for successful credit card program implementation.

    Army & Air Force Exchange Service to Collaborate with Discover® Global Network to Expand MILITARY STAR Card Acceptance

    5 Consumer Payment Trends Shaping How We Pay in 2025

    Miladys on Linkedin

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    38 分
  • Building a Strong Infrastructure for AI Adoption - Taylor Cembalisty, NetXD
    2025/05/15

    Summary

    In this episode of the EYE ON: Podcast, Simon Darchis speaks with Taylor Cembalisty, a leader in customer success and partnerships at NetXD. Taylor shares her journey from the nonprofit sector to financial services, highlighting her experiences at JP Morgan and NARMY. The conversation delves into the role of AI in financial services, particularly focusing on AI agents and their potential to enhance customer interactions.

    Taylor discusses the challenges of data management and the importance of infrastructure in implementing AI solutions effectively. The episode concludes with insights on the future of AI in banking and the need for financial institutions to adapt to new technologies.

    Taylor and Simon discuss the integration of AI in financial institutions, exploring its potential use cases, benefits, and challenges. They emphasize the importance of developing internal AI policies, understanding customer needs, and navigating regulatory landscapes. The discussion highlights how AI can enhance both customer experiences and back-office operations, ultimately driving innovation in the financial sector.

    Takeaways

    • Taylor's journey from nonprofit to financial services is unique.
    • AI is revolutionizing customer interactions in banking.
    • The concept of AI agents is gaining traction in fintech.
    • Data challenges remain a significant barrier to AI adoption.
    • Infrastructure is crucial for leveraging AI technologies.
    • Customer success teams are essential in fintech.
    • AI can automate back-office processes effectively.
    • The future of banking will involve more autonomous AI actions.
    • Financial institutions must adapt to stay competitive.
    • Understanding legacy systems is key to implementing AI. Financial institutions should start with an internal AI policy.
    • AI can improve both customer-facing and back-office operations.
    • Understanding AI is crucial for financial institutions to stay competitive.
    • AI can automate mundane tasks, freeing up time for more valuable work.
    • Customer interactions can be enhanced through AI-driven insights.
    • Regulatory clarity is needed for AI adoption in finance.
    • AI can help in financial literacy and customer education.
    • A top-down and bottom-up approach is essential for AI adoption.
    • AI can facilitate quicker decision-making and operational efficiency.
    • Organizations should prepare for AI by educating themselves and exploring use cases.

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    50 分

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