Month: July 2018

Part 2: Technologies Used for Big Data Analytics

Illustration by Davide Bonazzi (https://www.copyrightuser.org/understand/exceptions/text-data-mining/) By Jonathan Soriano Prior to implementing new technology used for big data analytics, firms must ensure that the collected data is high-quality. Establishing repeatable processes that build and maintain standards for data quality is of the utmost importance, given that data is constantly flowing in and out of an organization. …

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Part 1: Big Data Analytics and its Benefits

by Jonathan Soriano Companies have been using basic data analytics long before the term “big data” existed. As far back as the 1950s, firms would discover insights and trends by manually examining numbers in a spreadsheet. Until now, firms could gather information, run analytics, and use the information discovered to assist with future decisions. Today, …

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Advanced Manufacturing in the Augmented Age

by Kevin Madden Much of the discussion surrounding artificial intelligence and robotics, especially when it comes to Ontario manufacturing, pushes the narrative that humans are losing their jobs to machines. As Trillium’s Managing Director, Paul Boothe, writes in an op-ed for Maclean’s magazine published last December, the focus should not be on the jobs that …

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i-ERP: Intelligent Enterprise Resource Planning

by Jonathan Soriano Enterprise resource planning (ERP) applications are common business tools that appeared during the 1990s, evolving from simple applications to customizable software systems. However, with the recent emergence of Industry 4.0 and the increased connectivity required across a business to optimize end-to-end production processes, standard ERP systems are becoming obsolete. At its core, …

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