William Mills

MAY 11, 2016

Under the scenario the consumer can transfer much-needed cash as well get cash (that was earned, not paid yet) so no payday or online lending debt is added. Peer lending meets machine learning, with LendingRobot. The algorithm automates the process of identifying, and investing in, the best peer-to-peer lending opportunities.

Video 40

Video Lending social media Analytics 40

CB Insights

OCTOBER 10, 2018

Asia is highly competitive, with tech giants like Ant Financial and Tencent’s WeChat actively dominating mobile payments and expanding their reach in financial services across lending, wealth management, and insurance. This includes targeting the underbanked/unbanked, millennials, students, kids, freelancers, and early adopters of blockchain.

Retail 78

Retail Cards Millennials Mobile 78

William Mills

MAY 11, 2016

What’s the market strategy? Fiserv is meeting that need for FIs and millennials. Industry leader Fiserv is tackling the issue account opening for Millennials. Started talking about the challenge of having to change credit cards all the time (due to fraud). Who is the target audience? Technical Consultant).

Video 40

Video Mobile social media Analytics 40

FICO

MARCH 24, 2021

Let’s assume the lender in this example is aiming to grow its new-to-system customer portfolio via launching a new digital lending product: small-ticket unsecured instalment loans. In order to achieve this, at the time of application, all types of data will need to be accessible in real time.

Data 59

Data social media Resources Examples 59

William Mills

SEPTEMBER 7, 2016

03:04 pm Experian Fraud & Identity – https://www.experian.com/decision-analytics/identity-and-fraud/fraud-and-identity.html – @Experian – Adam Fingersh – GM and SVP, Fraud and Identity Solutions & John Sarreal. About to show use case on credit card fraud. Demo: Bank application form.

Mobile 40

Mobile Cards Fraud Data 40