This is a collection of articles related to the application machine learning to debt collection and accounts receivable management. These articles focus on this innovative area of data science. They will provide you with valuable information and insights on how to optimize your debt collection strategies and tactics by using artificial intelligence and machine learning. In them you’ll learn how ML can help you increase collection rates and accelerate recovery time.
Our well-researched tech content is written by senior members of our leadership team. They are technology specialist with a strong expertise in machine learning and AI.
Amongst the machine learning topics covered in our content, you’ll find:
We publish new valuable content roughly once a week. That means no endless self-serving advertorials here. Just valuable information to help you craft your strategy.
In addition, we also publish a series of white-papers on Omni-channel debt collection and Deployment strategy. Furthermore, we’ve created some very detailed and in-depth Customer success stories. Each story shows you a roadmap of how our clients achieve big results.
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June 13, 2019
Companies spend a lot of time, effort, and marketing budget trying to get in the news. But there are some...
December 11, 2018
If you own an auto dealership, you’ll likely offer a college student the used but affordable compact sedan. You’ll offer...
November 26, 2018
I just returned from the 2018 Receivables Management Conference in Toronto. Overall, it was a great conference — small and...
October 23, 2018
Katabat Launches Machine Learning-Powered Debt Collections Software WILMINGTON, DE, Oct. 25, 2018 – Global software provider Katabat has released...
October 23, 2018
We are proud to announce the release of Katabat Engage, a new machine learning-powered product that delivers automated digital collections...
September 20, 2018
Almost everything we do today leaves a digital trail. When we buy items online or interact with our friends on...
September 18, 2018
Katabat will host a luncheon at Kessler Group Conference in Melbourne, Australia. The Kessler Group operates in both North America...
August 27, 2018
Katabat’s CEO Ray Peloso was recently featured in a Thrive Global article and video interview about how machine learning can improve...
August 21, 2018
Last year researcher Janelle Shane trained a neural network to generate and name new paint colors by inputting 7,700 examples...
July 26, 2018
Katabat CTO Ye Zhang has done several interviews in the past few months. A June 19th article from CIO on...
July 10, 2018
Katabat hosted industry experts for an interactive discussion and luncheon last Tuesday in London. There were record hot temperatures in...
June 13, 2018
Join us on Tuesday, 26th of June for a live event on machine learning in London, UK. Katabat’s Kyle Christensen...
May 8, 2018
These days, artificial intelligence (AI) is such a buzzword that it is hard to promote an AI solution without sounding...
April 19, 2018
There is no doubt that artificial intelligence (AI) is transforming how we do business. AI holds much promise but is...
March 8, 2018
I recently had the opportunity to attend a webinar hosted by LivePerson and featuring Forrester discussing artificial intelligence (AI). Forrester...
February 26, 2018
This is the final post in a three-part series on AI and automation by Katabat’s CTO, Ye Zhang. For the...
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