ALIGNING TOMORROW'S KNOWLEDGE WORKER™            

Challenges with Implementing Machine Learning

With artificial intelligence and machine learning becoming more popular every year, it would seem clear that more and more companies would want to join the modernization of business and implement some kind of AI technology into their own practices. But despite its popularity, many businesses still either are not...

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Characteristics of Artificial Intelligence

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What’s Beneath AI and the Decision of Build vs. Buy

As the business world has grown in the 21st century, artificial intelligence (AI) has grown with it, to the point that it is no longer a rare occurrence or unique application. Companies are using AI in several different ways, among them improving customer relations, creating more efficient processes, and...

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Right Approach to Get Effective Results from IA

Top-Down vs. Ground-Up:  What’s Better? As companies begin to implement Robotic Process Automation (RPA) into their operations and processes, they should find a systematic approach through which to define their RPA strategy in order to increase dividends and avoid the obstacles typically encountered by business expanding their AI department....

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Can Enterprises Effectively Take Advantage of AI?

Improvements in Capabilities Make AI Viable for the Enterprise Artificial Intelligence has long been viewed as the solution to all of the problems we will encounter a decade from now. Ever since the term was coined in the 1950’s, it has been peering over our shoulder, teasing us as...

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Meshing Big Data and the Cloud

What Goes Around Comes Around Not long ago, a legacy system was enterprise software running on a mainframe.  Wait, I thought those supercharged Teradata screaming machines were purchased just a few years ago?  Did someone say legacy Teradata?  Grab the gold coins son, we’re going off the grid.  It’s...

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