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- The Fundamentals of Medical Marijuana Revealed
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- CS502K: Symbolic AI Catalogue of Courses
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- ABBYY Named Leader of IDP in the 2021 ISG Provider Lens™ Intelligent Automation – Solutions and Services Report
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- Mobile Compatibility
- EY Summit 2020: Lights out Planning at the Cognitive Automation Summit
- Director of data science Gregor Lämmel on “AI in action”
- RPA Vs Cognitive Automation: Which Technology Will Drive IT Spends for CIOs?
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- GoChain Technical Analysis
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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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