Method for artificial intelligence (AI) adoption assessment and enhancement, involves evaluating social considerations including workforce impact and ethical concerns, and generating adaptive AI adoption strategies based on analyzed data
	SHARMA S; KUMAR C; MODI S; CHINNAMANTHUR S; RANGANATHAN S
	2025-03-28
专利权人	SHARMA S (SHAR-Individual) ; KUMAR C (KUMA-Individual) ; MODI S (MODI-Individual) ; CHINNAMANTHUR S (CHIN-Individual) ; RANGANATHAN S (RANG-Individual)
申请日期	2025-03-28
专利号	IN202541030584-A
成果简介	NOVELTY - The method involves collecting and analyzing business-specific AI adoption data using machine learning algorithms. The drivers that promote AI adoption within an enterprise are identified. The barriers impeding AI implementation are detected using NLP and predictive analytics. The social considerations including workforce impact and ethical concerns are evaluated. The adaptive AI adoption strategies are generated based on the analyzed data. USE - Method for artificial intelligence (AI) adoption assessment and enhancement in business and management by identifying key drivers, mitigating barriers, and evaluating social considerations. ADVANTAGE - The system integrates machine learning (ML), natural language processing (NLP), and predictive analytics to assess AI readiness, generate adaptive adoption strategies, and ensure compliance with ethical and regulatory standards. The system dynamically refines AI implementation strategies using reinforcement learning and explainable AI (XAI) models, thus ensuring optimized, ethical, and socially responsible AI adoption across enterprises of varying scales. The system facilitates the AI adoption in businesses by analyzing key influencing factors and providing actionable insights for decision-makers. By integrating AI-based analytics, the system creates an intelligent framework that helps organizations navigate the complexities of AI implementation efficiently. The system identifies and evaluates the drivers of AI adoption in business environments. The drivers include increased operational efficiency, cost savings, enhanced customer engagement, and data-driven decision-making. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is included for a system for AI-driven business strategy optimization.
IPC 分类号	G06F-040/30 ; G06N-020/00 ; G06N-005/045 ; G06N-007/01 ; G06Q-030/0201
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13402
专题	中国科学院新疆生态与地理研究所
作者单位	1.SHARMA S (SHAR-Individual) 2.KUMAR C (KUMA-Individual) 3.MODI S (MODI-Individual) 4.CHINNAMANTHUR S (CHIN-Individual) 5.RANGANATHAN S (RANG-Individual)
推荐引用方式 GB/T 7714	SHARMA S,KUMAR C,MODI S,et al. Method for artificial intelligence (AI) adoption assessment and enhancement, involves evaluating social considerations including workforce impact and ethical concerns, and generating adaptive AI adoption strategies based on analyzed data. IN202541030584-A[P]. 2025.

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