Peaka Digest #51 ?? Zapier and Make Integrations ??? How to Get Started with Customer 360

Hey there,

This time around, we bring you an edition that is shorter than usual for the shortest month of the year. Call it an atomic newsletter, if you will.

Here are the headlines:

• We have introduced a couple of integrations that our users have been looking forward to for some time.
• A new blog post by Kerem Ko?er has gone live, and it offers a deep dive into customer analytics.
• Mastercard has been up to something with the AI model they have built in-house. Find out what it is in the news section.

Read on for your biweekly digest, this time in an atomic guise.

In this edition

• ?? What's New at Peaka:??Zapier and Make Integrations are Live!

• ??? From Peaka:??How to Get Started with Customer 360

• ?? Community News:?? Mastercard Unveils Proprietary AI Model to Fight Fraudulent Transactions

?? Whats New at Peaka

?? Zapier and Make Integrations are Live!

Peaka now seamlessly integrates with Zapier and Make (formerly Integromat), two of the most popular workflow automation platforms.

This collaboration combines Peaka’s data integration capability with the wide array of workflows Zapier and Make users are familiar with. In addition to unifying and querying your data, you can now leverage Zapier’s ‘zaps’ and Make’s ‘scenarios’ to take predefined actions on your consolidated data.

Enjoy the flexibility these new integrations bring to you!

Check out the video below by Kerem Ko?er, our Founder’s Associate, to see how these integrations can make life easier for you:

How Peaka Integrates with Zapier

Visit our 'What’s New' page to learn about all the recent connectors, features, and bug fixes we shipped.

??From Peaka

How to Get Started with Customer 360

Most founders are unaware of the need to establish a pipeline for analyzing and cross-referencing engagement data. We've offered a modern alternative.

??Community News

Mastercard Unveils Proprietary AI Model to Fight Fraudulent Transactions

If there is one thing AI is consistently good at, it’s pattern recognition. It may not perform up to the standards when it is expected to generate an article, but AI excels in separating hay from the chaff: AI and ML implementations can be particularly good at identifying anomalies and abnormalities in radiological scans or spotting unusual transactions, for example.

Mastercard has decided to capitalize on this capability and actually developed a proprietary AI model, Decision Intelligence Pro, to help banks detect fraudulent transactions. Trained on a body of 125 billion transactions processed by the company’s network of banks, the model can reportedly grasp how merchants are related and assess whether the business processing a transaction is somewhere a customer would go in just 50 milliseconds.

Having invested more than $7 billion in cybersecurity and AI technologies over the last five years, Mastercard is optimistic about achieving an impressive return on its investment. Decision Intelligence Pro is said to improve fraud detection rates by 20 percent on average. However, Ajay Bhalla, Mastercard’s president of the cyber and intelligence business unit, thinks that the model is capable of achieving much more.

Bhalla claims that it is poised “to identify fraudulent patterns and trends to predict future types of fraud that are not currently known."

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Thanks for reading!

- Peaka Team