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Engineer’s Perspective of the Future of Engineering Applications

Engineers play a critical role in integrating legacy systems into the digital landscape of today’s businesses. The new-age enterprises thrive on technologies such as artificial intelligence (AI) and machine learning (ML), Big Data and analytics, and robotic process automation (RPA). To optimize these technologies, organizations need to either overhaul their operations completely or make use of the existing setup and intelligently transform them as per the business needs. This makes strategizing a very important gamut of the digital transformation exercise.

A complete overhaul is not only cost-intensive but also risks compromising business continuity. As a result, organizations generally opt for the latter option and gradually transition legacy systems while keeping a close look at the lifecycle.

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Three Production Benefits to AI in Manufacturing

AI is crucial to manufacturing. According to a recent Forbes Insights survey, AI is deemed important today by 44% of those surveyed. In the upcoming five years, 49% say artificial intelligence will be critical to success in manufacturing. Why is AI in manufacturing so important? Artificial intelligence in manufacturing can offer a host of benefits to a manufacturing operation. Let’s look at three ways artificial intelligence technology can be a major benefit to production in manufacturing.

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