Opinions

Leading a credit union can be exhausting. Implementing these best practices can help ease the burden.

There are a number of actions financial institutions should take to improve their application of machine learning and data analytics technologies.

Credit unions must walk a fine line between making interactions for members as easy as possible while also providing robust protection against evolving cybersecurity threats.

The time has come for payment incumbents to increasingly depend on the cloud for more production applications and emerging technologies and choose platforms, partners and tools that will turn them into butterflies rather than fast caterpillars, writes Stephan Fabel, director of product at Canonical.

It creates an auditable, distributed ledger of transactions that cannot be altered or removed, enabling transactions that are valid, authentic, trustworthy and immutable, according to David Uhryniak, a blockchain services leader at Crowe LLP, and Brian T. Zygmunt, a partner with Crowe LLP.

While most early GDPR fines have been relatively low, a larger more recent fine at Google is a sign of larger levies to come, according to Karen Neuman and Federica De Santis from the privacy and cyber security practice at Goodwin.

Whether they process cards, bank accounts, cash, or whatever comes next, digital payment systems must be reliable, flexible and ever-advancing, writes Michael Kaplan, chief revenue officer at PayNearMe.

When a cryptocurrency exchange is unregulated, you need to investigate its security practices yourself, writes Phillips Nizer LLP's Patrick Burke.

With real-time payments advancing, processors need to shore up security, according to David Worthington, vice president of payments at Rambus.

Unauthorized exposure of any type of customer data, for any period of time, is a serious issue, writes Carl Wright, chief commercial officer of AttackIQ.