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6 ERP Software Predictions for 2017

January 04, 2017 / 0 Comments / in Microsoft Dynamics AX, ERP Software, Dynamics 365 for Finance and Operations, Acumatica Cloud ERP, Clients First Texas, erp predictions, Artificial Intelligence, Future of ERP, IoT, Machine Learning / by Nancy Phillippi

ERP Predictions for 2017

Another Christmas has come and gone, which means it’s time to bring in the new year! The mark of a new year is always an exciting time of hope and anticipation for what the new year will bring. Like every year Nucleus has released what it anticipates for the next year in the technology world. Read this article to learn about some of those predictions.

  1. 1. The End of On-Premise Security Superiority

You read right, Nucleus predicts that cloud security naysayers will disappear in 2017. This may sound a little far-fetched at first, but when you consider the fact that 2016 has been a big year for cloud computing you will understand why. One of those reasons 2016 was the year for cloud computing is that it has been a turnaround year for many consumer’s perceptions of the cloud’s safety and privacy. A prime example of this is how a top tier business software company, Microsoft, came out with a new, completely cloud-based solution, Dynamics 365.  And as such is poised to be one of the first tech companies to reach 1 trillion in market capitalization.

Dynamics 365: Quality Management with Machine Learning

December 08, 2016 / 0 Comments / in Microsoft Dynamics AX, Dynamics 365 for Operations, Dynamics 365 for Finance and Operations, Clients First Texas VAR, Azure Machine Learning, Dynamics 365, Dynamics CRM, Machine Learning / by Nancy Phillippi

What is Machine Learning?

Machine learning is a type of artificial intelligence that analyzes previously collected data and statistics to learn normal behavior. The purpose of machine learning is to promote positive customer experiences by learning what they like and automatically present the more desirable function or item.

If you use the Internet, chances are that you have already been subject to machine learning. Major companies such as Google, Facebook, and Amazon have already benefited from using this method on their customers. To better understand how machine learning works, let’s examine how much machine learning effects our everyday lives.

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