Payments On FireTM podcast series is where payment issues are reviewed, dissected, and batted around with industry leaders. In other words, a good conversation between payments geeks.

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Episode 45 – False Declines and Ethoca’s Role

In e-commerce and mobile commerce the problem of false declines is significant, especially during the holidays. Issuers decline transactions that online merchants approve. And vice versa. In other words, the necessary process of sorting out fraud from good transactions catches good transactions with the bad. This poor decision making means merchants lose the sale and the issuer its transaction fees.

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Episode 44 – On Privacy, IoT, and Security – Online Trust Alliance

Multiple organizations have emerged to address different aspects of security, privacy, and identity. In this Payments on Fire Podcast, Glenbrook's George Peabody speaks with Craig Spiezle, Executive Director of the Online Trust Alliance, an organization bringing together privacy and security best practices for a range of industries, including payments. Take a listen to this conversation about the security challenges ahead, especially around the Internet of Things.

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Episode 43 – Making Money Fly over Borders – ISO 20022, the IPFA, and Faster International Payments

Faster payments, B2B payments, international remittances, cross-currency, and cross-border payments. These are hot topics and major challenges the payments industry must address. Central to all is the ability to represent, in an interoperable fashion, the information that surrounds the payment itself. What's this payment for? Who is it for? Where's it going? These are information gaps that bedevil B2B payments and all of the above. Extensible standards in general and ISO 20022 in particular are the answer.

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Episode 42 – Payments Data with Russ Jones

As the breadth of transaction data expands, even the definition of payment data is getting stretched. Payment data, when combined with other sources, is becoming a valuable tool for both commerce and security. If we know your first name, we can figure out if you're male or female 92%+ of the time. If your email address is at AOL, you're probably over 50. What you might buy can be inferred from the websites you visit. And that's just the start of data's role in payments.

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