Since robotic process automation (RPA) hit the marketplace hard in 2015, there’s been a lot of buzz and mixed feedback. But given the enormous promise of intelligent automation, hyper automation and its inevitability, why do so many RPA projects fail? Most of the RPA project failures are highly subjective, and not very extreme. But, by most measures in the information technology world, RPA fails have been fast and small—and that’s part of RPA’s attraction. The 5 types of RPA
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Cognitive Automation – RPA’s Future Can we call Cognitive Automation as Robotic Process Automation Plus (RPA+)? Personally, I would like to create an analogy of a business organization where we can call RPA as worker (Doer) or workforce and Cognitive is executive leadership (decision engine). When decision makers and doers combine hands together the success looks more realistic and approachable. Cognitive automation or some other synonym words in the field are Intelligent or Smart Automation.
Digitalizing a Quality Management System Rolling Out the MasterControl eQMS A global leader specializes in designing medical devices for orthopedic use with a headcount of over 400 staff users expanding operations in domestic and global markets. In order to develop on the international stage and bring their products to market quickly, companies operating in the medical devices sector need to keep up with changing regulations. With the aim of turning red tape into a blue
Luceats Point of view – 3A Transformation Journey The global robotic process automation (RPA) market size is expected to reach USD 3.97 billion by 2025, according to a new study by Grand View Research, Inc. Different organizations across multiple vertical domains and sectors are increasingly challenged by the growing competition due to shift in technology, customer awareness and preferences. The adoption of Artificial Intelligence (AI) and automation solutions has enabled organizations to tackle such challenges while meeting