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AI and RPA

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ARTIFICIAL INTELLIGENCE

Artificial intelligence (ai) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Ai is an interdisciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.


Ethical use of artificial intelligence

While AI tools present a range of new functionality for businesses, the use of artificial intelligence also raises ethical questions because, for better or worse, an AI system will reinforce what it has already learned.


Why is artificial intelligence important?

AI has been an integral part of SAS software for years. Today we help customers in every industry capitalize on advancements in AI, and we’ll continue embedding AI technologies like machine learning and deep learning in solutions across the SAS portfolio.

  • AI automates repetitive learning and discovery through data.
  • AI adds intelligence
  • AI adapts through progressive learning algorithms
  • Project Collaboration
  • AI analyzes more and deeper data
  • AI achieves incredible accuracy
  • AI gets the most out of data.

RPA

Robotic process automation is the technology that allows anyone today to configure computer software, or a “robot” to emulate and integrate the actions of a human interacting within digital systems to execute a business process. Rpa robots utilize the user interface to capture data and manipulate applications just like humans do. They interpret, trigger responses and communicate with other systems in order to perform on a vast variety of repetitive tasks. Only substantially better: an rpa software robot never sleeps and makes zero mistakes.

Why RPA ?

The vital role of robotic automation is to offer improved customer experience and operational excellence by increasing performance, efficiency and agility. Robotic automation helps businesses improve their overall productivity. ... However, integration of rpa requires proper planning beforehand