Skip to main content

Crazy Fraud Story - Fintechs Brand Reputation Risk



Click to play 3 minute story video

Sha- Stories -Another new interesting story in fintech created with generative ai . Story about a Nevada woman jailed who hired a con hitman on a scammer site on the dark web to murder her husband and paid them using Bitcoin, the investigation and how fintechs can prevent such activities on their site and preserve their brand reputation
https://lnkd.in/gRSC4q22

Story generated using generative ai tools pictory, uses speech to text conversion, Adobe firefly
Original story - https://lnkd.in/gV3ZJzwC


Popular posts from this blog

Varsha Shah

    Varsha Shah - Bay Area, California LinkedIn Blog Summary:   Highly accomplished product leader with a track record of delivering world class crypto and payments experiences for 400M+ PayPal customers. Globally leading dynamic teams, my expertise spans product lifecycle, competitor analysis, and agile methodologies. A visionary in product strategy, driving seamless, customer centric UX with AI/ML, Gen AI integration within reusable platforms. My engineering background empowers me to tackle tech challenges, tailor requirements, and innovate for smoother engineering execution. Thriving at building trusted connections, I expedite buy-in for roadmap success to launch complex initiatives without compromising product quality and security on tight deadlines. Experience: PayPal                                            ...

Different types of Bias in Models

  Fun AI generated Music Video on Model Bias Lyrics - by Gemini,  Voice and Music by Suno.ai Bias in a model refers to systematic errors or inaccuracies in predictions caused by factors such as skewed training data, algorithmic design, or assumptions made during model development. Bias in a model can lead to unfair or discriminatory outcomes, inaccurate predictions, and a lack of generalization to new or unseen data. Feedback Loop Bias: Description: Results from a feedback loop where the model's predictions influence user behavior, which in turn affects the data used to train the model, leading to biased predictions. Fintech Data Scientist Example (PayPal): If PayPal's fraud detection system incorrectly flags a legitimate transaction as fraudulent, resulting in the user being blocked from making further transactions, the user's subsequent behavior may be influenced by this experience, leading to biased data used to retrain the model. Social App Data Scientist Example (Me...
  Scam – New Payments Service Regulation in UK https://www.reuters.com/world/uk/uks-payments-regulator-lays-down-new-norms-tackle-fraud-2023-06-07/     Britain's Payment Systems Regulator (PSR) said on Wednesday it has made it mandatory for banks and payment firms to reimburse victims of online bank fraud within five days, in cases where users at a business send money to a bank account controlled by fraudsters.   Thousands of people have seen their savings swept away in recent years by an unprecedented wave of fake online bank transactions hitting Britain, called authorized push payment (APP) fraud. The PSR said the new rules will be imposed on the Faster Payments system, where the vast majority of APP fraud has occurred so far, with the reimbursement requirements coming into force next year. The regulator also said that all payment firms will be incentivised to take action, with both sending and receiving firms equally splitting the reimbursement c...