Artificial Intelligence

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Public Sector and the Need for Automation

2021-01-20T21:18:36+00:00March 30th, 2020|

Why Government Agencies Need to Consider AI into Their Future Strategy   The recent COVID-19 Pandemic has disrupted just about every aspect of everyday life and this is especially true for private-sector businesses.  Work from home requirements, shelter in place orders and [...]

Our Approach to Automation – Start Small.

2021-01-20T21:20:34+00:00March 20th, 2020|

During tough economic times, many companies are forced to cut their labor force in order to survive.   However, these same companies still have work that needs to get done and now have to figure out how to operate with less staff. [...]

Major Disruptions and The Effect on Machine Learning Algorithms

2021-01-20T21:23:20+00:00March 16th, 2020|

COVID-19 and the Impact of Automation   “Data Science is a Team Sport.” That is what we have known at NLP Logix for almost a decade.  During that time, our team of experienced software engineers, mathematicians and statisticians and machine learning engineers [...]

NLP Logix Partners with Receivables Management Association International

2021-01-14T18:02:13+00:00December 12th, 2019|

NLP Logix is proud to announce partnering with Receivables Management Association International (RMAI) through their membership program. This membership is an expression of our dedication to the receivables industry and to providing innovative technology to receivables management organizations.

Paypensity Named 2019 Top Innovative Product by Receivables Advisor

2021-01-14T14:36:01+00:00November 21st, 2019|

At CollectTech19, Receivables Advisor Magazine announced the Top Receivables Product Award winners, naming NLP Logix’s solution, Paypensity as a “2019 Receivables Top Product”. These awards were presented to companies who have gone above and beyond in 2019 to serve the receivables profession with their technological advancement. Winners will be showcased in the January/February issue of Receivables Advisor Magazine.

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