Machine learning

Machine learning (60)

The Use of Artificial Intelligence by Cyber Criminals

Artificial Intelligence (AI) is responsible for technological advancements affecting many diverse aspects of society. Most of this development is focused on achieving economic or social benefits for the world’s population. As is often the case with powerful tools, there are also individuals and groups that would use the capabilities of AI and the related field of machine learning (ML) for nefarious purposes. We will take a look at a few ways where this use of technology has led to new issues and concerns by cybersecurity professionals. 

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RPA – Robotic Process Automation Coming of Age

The financial industry is driven by new and innovative technologies that are expected to force a total change and growth to all businesses if they want to remain competitive, reduce human error and increase productivity. One such technology disrupting the financial industry is Robotic Process Automation (RPA); user-friendly software that uses artificial intelligence and machine learning capabilities to handle high volume/repetitive task and also increase credibility and efficiency.

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Data from the Skies: The Influence of Drone Technology On Analytics

In their nascent days, drones were military tools for surveillance or used as weaponry. The concept soon took on novelty status as civilians began to own them. Soon, drones entered ethics discussions as their use and capabilities bumped against privacy and territory rights. The notoriety of drones used to spy on celebrities by paparazzi launched them into mainstream awareness, but this usage also established drones as a new tool for business. What other ways could drones enhance or alter work? In the construction industry, there are startling applications for drone technology to make a difference.

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Predicting Machine Failure with Big Data

The fourth industrial revolution is on the rise. This time, instead of replacing human hands with machinery, companies are replacing scheduled surveys with timely repairs. Industry 4.0 includes machine learning on a variety of levels, but one of the most intriguing (and financially applicable) is predictive maintenance; the practice of predicting machine failure before it happens. Face detection, talking refrigerators, and mood-setting light bulbs are fun, but when big money talks, everybody listens.

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