Fraudish

著者: Kelly Paxton
  • サマリー

  • Fraudish is a podcast to help those working in fraud. Hosted by Kelly Paxton, Certified Fraud Examiner, Private Investigator, and Pink Collar Crime Expert. Kelly is a former special agent turned investigator specializing in embezzlement and workplace dishonesty cases. Fraudish interviews outstanding fraud professionals so you can continue to move forward in your career. Origin stories, tips, resources are just some of the amazing fraud content you will hear each Tuesday.

    © 2024 Fraudish
    続きを読む 一部表示

あらすじ・解説

Fraudish is a podcast to help those working in fraud. Hosted by Kelly Paxton, Certified Fraud Examiner, Private Investigator, and Pink Collar Crime Expert. Kelly is a former special agent turned investigator specializing in embezzlement and workplace dishonesty cases. Fraudish interviews outstanding fraud professionals so you can continue to move forward in your career. Origin stories, tips, resources are just some of the amazing fraud content you will hear each Tuesday.

© 2024 Fraudish
エピソード
  • Fraud Futures with Sam Rad
    2024/12/31

    What's futurism and how is it related to fraud?

    This week on Fraudish, Kelly speaks with Sam Radocchia, a self-proclaimed futurist, who shares fraud insights from her unique background in anthropology and technology. Sam explains how her journey led her to become a futurist, highlighting key experiences such as her involvement with blockchain, AI, and virtual worlds like Second Life. The conversation also touches upon economic disparities, the impact of technology on fraud, and the emergence of network states.

    Connect with Sam: https://www.linkedin.com/in/samradofficial/.

    続きを読む 一部表示
    39 分
  • When The Lunch Lady Steals Your Lunch Money with Emily Azzarito
    2024/12/17

    Ever thought about your school Lunch Lady? Do you think she was capable of crime? Maybe she even stole your lunch money…

    This episode of Fraudish, Kelly is joined by Emily Azzarito, to discuss her insightful paper “Lunch Ladies and Pink-Collar Crime.” Emily shares her personal journey from classical musician to attorney, and the inspiration behind her paper, which explores cases like the New Canaan lunch ladies and high-profile women such as Martha Stewart and Elizabeth Holmes. The conversation delves into why women are often trusted implicitly in the workplace, the misconceptions surrounding female white-collar criminals, and the need for more nuanced views on gender and trust in financial crimes.

    Connect with Emily: https://www.linkedin.com/in/emily-azzarito/

    Read her paper: https://jgrj.law.uiowa.edu/news/2024/05/lunch-ladies-and-pink-collar-crime-gender-stereotype-costs-companies-millions

    NYT Article: https://www.nytimes.com/2018/08/14/nyregion/connecticut-school-cafeteria-theft.html

    続きを読む 一部表示
    37 分
  • Are We Being AI Washed? with Allison Lagosh of Saifr
    2024/12/10

    In this episode of Fraudish, Kelly sits down with Allison Lagosh from Saifr to delve into the dynamic world of compliance, risk management, and fraud in the age of artificial intelligence. Allison shares her inspiring journey from pursuing a legal career to becoming a leader in the fintech startup space, offering invaluable insights for professionals navigating these complex fields.

    Topics covered include:

    • The impact of generative AI on the financial industry.
    • Key regulatory challenges tied to AI adoption and fraud prevention.
    • Practical strategies for balancing AI's potential benefits with emerging fraud risks.
    • The evolving landscape of compliance in a tech-driven world.

    This conversation is a must-listen for anyone working in compliance, risk management, or fraud prevention—or for those curious about how AI is reshaping the financial industry.

    💻 Learn more about Saifr: https://saifr.ai/
    👩‍💼 Connect with Allison Lagosh: https://www.linkedin.com/in/allison-lagosh/

    Tune in to discover how industry leaders like Allison are shaping the future of compliance and fraud detection with AI!

    続きを読む 一部表示
    31 分

Fraudishに寄せられたリスナーの声

カスタマーレビュー:以下のタブを選択することで、他のサイトのレビューをご覧になれます。