Authors :
R. Anitha; S. Abinaya; S. Laavanya; M. Gayanthika
Volume/Issue :
Volume 9 - 2024, Issue 3 - March
Google Scholar :
https://tinyurl.com/bdzn3vjp
Scribd :
https://tinyurl.com/mv9cfsvw
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAR321
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This paper explores the symbiotic
relationship between Robotic Process Automation (RPA)
and Artificial Intelligence (AI) and their collective
impact on streamlining and optimizing various business
processes. We delve into the integration of AI
technologies, such as machine learning and natural
language processing, with Robotic Process Automation
to create intelligent automation solutions. Furthermore,
it examines how the infusion of Artificial Intelligence
into RPA empowers systems to adapt and learn,
fostering adaptability and agility within organizations.
The abstract concludes by highlighting the potential
benefits, challenges, and future prospects of this
amalgamation, emphasizing the transformative impact
on businesses in the era of intelligent automation.
Keywords :
Robotic Process Automation, Artificial Intelligence, Efficiency, Productivity, Machine Learning, Natural Language Processing.
This paper explores the symbiotic
relationship between Robotic Process Automation (RPA)
and Artificial Intelligence (AI) and their collective
impact on streamlining and optimizing various business
processes. We delve into the integration of AI
technologies, such as machine learning and natural
language processing, with Robotic Process Automation
to create intelligent automation solutions. Furthermore,
it examines how the infusion of Artificial Intelligence
into RPA empowers systems to adapt and learn,
fostering adaptability and agility within organizations.
The abstract concludes by highlighting the potential
benefits, challenges, and future prospects of this
amalgamation, emphasizing the transformative impact
on businesses in the era of intelligent automation.
Keywords :
Robotic Process Automation, Artificial Intelligence, Efficiency, Productivity, Machine Learning, Natural Language Processing.