FICO

JANUARY 4, 2018

In this post, he discusses some of the special circumstances around using AI and machine learning to assess credit risk, a highly regulated field. They’re focused on using many types of alternative data, such as information gleaned from social media, to deduce credit risk. Enterprises: Lax cyber security?

Analytics 55

Analytics Cyber Security social media Analysis 55

Lex Sokolin

AUGUST 5, 2019

They point to Fintechs and Crypto, the innovative parts of our economy, and accuse it of poor practices. They insist on inequitable, overly heavy-handed regulation and security expectations that stifle out young companies. For many of us, we are fine losing social media photos, Twitter puns, or even our passwords.

Data 40

Data Security System US 40

Lex Sokolin

AUGUST 5, 2019

They point to Fintechs and Crypto, the innovative parts of our economy, and accuse it of poor practices. They insist on inequitable, overly heavy-handed regulation and security expectations that stifle out young companies. For many of us, we are fine losing social media photos, Twitter puns, or even our passwords.

Data 40

Data Security System US 40

Gonzobanker

DECEMBER 22, 2015

No one has been more successful at using social media to generate awareness and a positive image for their bank than Jill (@JillCastilla, @CitizensEdmond). Bank Innovation named Jill one of the 10 most innovative CEOs in banking for 2015, and we doubt that Bank Innovation would know who Jill is if not for her presence on Twitter.

Community Bank 60

Community Bank Apple Community Technology 60

PYMNTS

JUNE 20, 2017

For Mikhail Ivanov, CEO of the Russian machine learning and artificial intelligence company NTechLab (which created FindFace), that’s no reason not to innovate. We have to regulate how to use it in the future. It just means that society needs to start having a conversation about when and where to welcome the new smart technology. “We

Technology 173

Technology Retail social media Fraud 173