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“Cognitive automation is not just a different name for intelligent automation and hyper-automation,” said Amardeep Modi, practice director at Everest Group, a technology analysis firm. “Cognitive automation refers to automation of judgment- or knowledge-based tasks or processes using AI.”
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Generally speaking, sales drives everything else in the business – so, it’s a no-brainer that the ability to accurately predict sales is very important for any business. It helps companies better predict and plan for demand throughout the year and enables executives to make wiser business decisions. Watch the case study video to learn about automation and the future of work at Pearson.
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This guide aims to demystify AI and machine learning and equip organisations with the knowledge needed to navigate this evolving landscape. This understanding will empower business leaders to make informed decisions and capitalise on the potential of artificial intelligence. This is where a machine possesses intelligence far surpassing that of the brightest and most gifted human minds. From the input unit, the data goes through one or more hidden units with the aim of transforming the input into something the output unit can use. There are many neural network models suitable for different use cases and with various computational demands.
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According to Saxena, the goal is to automate tedious manual tasks, increase productivity, and free employees to focus on more meaningful, strategic work. “RPA and cognitive automation help organizations across industries to drive agility, reduce complexity everywhere, and accelerate value of technology investments across their business,” he added. You must start somewhere though and most organisations tend to do so at the more basic end. Your automation could use OCR technology and machine learning to process handling of invoices that used to take a long time to deal with manually. Machine learning helps the robot become more accurate and learn from exceptions and mistakes, until only a tiny fraction require human intervention.
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