id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajema-6376	Khan , Akhtaruzzaman ; Azad , Md Abul Kalam ; Hussain , Mohammad Kabir ; Zubair , K M 	Driving U.S. Business Growth with AI-Driven Intelligent Automation: Building Decision-Making Infrastructure to Improve Productivity and Reduce Inefficiencies	2024	28	.htm	application/pdf	14891	675	36	grnjournal.us C. Automation as a solution to Inefficiencies The sources of inefficiency in business operations include delays, human errors, rising costs, and underutilization of vital resources that impede growth, raise expenses, and reduce the agility of organizations, but intelligent automation (IA) offers a holistic solution to them by rationally identifying and removing such inefficiencies by using robotics, AI, and process automation. Literature Review A. Intelligent Automation in Business Evolution The development of intelligent automation (IA) has radically altered the way businesses were conducted by merging robotics, artificial intelligence, and process automation into cohesive systems that can promote efficiency and flexibility.	cache/ajema-6376.htm	txt/ajema-6376.txt