Opinions

Artificial intelligence and machine learning are some examples of technology available now to help combat money launderers profiting from the pandemic.

A transparent, decentralized ledger will speed up payments while mitigating the inevitable next round of federal mismanagement, says Polyient Labs' Jeff Hinkle.

The sessions are interactive, and viewers can purchase products at any time during the session by clicking on a small product window and making a purchase with an app such as Alipay, says Azoya International's Franklin Chu.

Mobile's already responsible for more than half of online fraud, and that will get worse, says ClearSales's Bernardo Lustosa.

This is the third halving, with each halving making a subtler economic impact than the last, says the University of Pittsburgh's Chris Wilmer.

FedAccounts would be government banking on a massive scale, says Intrepid Ventures' Eric Grover.

Remote work has hampered business payment systems. Automated decentralized options are key to continuity, says Nvoicepay's Josh Cyphers.

Credit unions use data to help sell products and manage risk but executives must now look at their modeling differently in light of COVID-19. 

Swift's ISO 20022 delays have signaled a pause button. But that's a misplaced notion, says Fiserv's Andrew Foulds.

Artificial intelligence and machine learning are some examples of technology available now to help combat money launderers profiting from the pandemic.