Results 281 to 290 of about 1,202,889 (305)

Generative AI and its Transformative Value for Digital Platforms

Journal of Management Information Systems
The emergence of generative artificial intelligence (GenAI) represents a watershed moment in the evolution of digital platforms. The capabilities of this AI technology go beyond traditional AI systems, enabling the autonomous generation of novel outcomes
Michael Wessel, Martin Adam, Alexander Benlian, A. Majchrzak, Ferdinand Thies   +4 more
semanticscholar   +1 more source

General AI

2020
Abstract People use their cognitive skills to solve a wide range of problems whereas computers solve only a limited number of specific problems. A goal of artificial intelligence (AI) is to build on its previous success in specific environments to advance toward the generality of human level intelligence.
openaire   +1 more source

Toward an Evaluation Science for Generative AI Systems

arXiv.org
There is an increasing imperative to anticipate and understand the performance and safety of generative AI systems in real-world deployment contexts. However, the current evaluation ecosystem is insufficient: Commonly used static benchmarks face validity
Laura Weidinger, Deborah Raji, Hanna Wallach, Margaret Mitchell, Angelina Wang, Olawale Salaudeen, Rishi Bommasani, Sayash Kapoor, Deep Ganguli, Sanmi Koyejo, William Isaac   +10 more
semanticscholar   +1 more source

The Synergy of Generative AI and Big Data for Financial Risk: Review of Recent Developments

International Journal For Multidisciplinary Research
This paper presents a comprehensive review of the latest development in Generative AI and Big Data with application in Finance. 2025 is the year of Agentic AI, marking a pivotal shift in generative AI (Gen AI) and its integration with big data.
Satyadhar Joshi
semanticscholar   +1 more source

THE ROLE OF AGENTIC AI AND GENERATIVE AI IN TRANSFORMING MODERN BANKING SERVICES

American Journal of AI Cyber Computing Management
The research is based on the importance of the agentic AI and generative AI that can change the current banking services. The entire analysis has been executed using secondary qualitative analysis using journals and other reports.
Archana Todupunuri
semanticscholar   +1 more source

Anthropomorphic generative AI chatbots for enhancing customer engagement, experience and recommendation

Journal of Consumer Marketing
Purpose This research focuses on developing and testing a conceptual model that explores customer behavioural responses (engagement, experience and recommendation) towards generative artificial intelligence (AI)-enabled chatbots.
Aman Kumar, Amit Shankar, Abhishek Behl, Debarun Chakraborty, Raghava Gundala   +4 more
semanticscholar   +1 more source

Technostress and English Language Learning in the Age of Generative AI

The EUROCALL Review
The purpose of this study is to examine the effects of generative AI on technostress among second language (L2) English students at two Japanese universities. While the use of generative AI technologies in education is rapidly increasing, research on how
Gilbert Dizon, Jason Gold, Ryan Barnes
semanticscholar   +1 more source

Strategic Integration of Generative AI in Organizational Settings: Applications, Challenges, and Adoption Requirements

IEEE Engineering Management Review
Generative AI is revolutionizing the way organizations operate, offering transformative capabilities that span automated content creation, strategic decision-making, and customer engagement through AI-driven chatbots.
Mousa Al-kfairy
semanticscholar   +1 more source

Generative AI in Education: Perspectives Through an Academic Lens

Electronics
In this paper, we investigated the role of generative AI in education in academic publications extracted from Web of Science (3506 records; 2019–2024).
Iulian Întorsureanu, S. Oprea, A. Bâra, Dragoș Vespan   +3 more
semanticscholar   +1 more source

Introduction to Artificial Intelligence (AI) and Machine Learning (ML) in Pathology & Medicine: Generative & Non-Generative AI Basics.

Modern Pathology
This manuscript serves as an introduction to a comprehensive seven-part review article series on artificial intelligence (AI) and machine learning (ML) and their current and future influence within pathology and medicine.
H. Rashidi, Joshua Pantanowitz, Mathew Hanna, Ahmad P. Tafti, Parth Sanghani, Adam Buchinsky, Brandon Fennell, Mustafa Deebajah, Sarah Wheeler, Thomas Pearce, Ibrahim Abukhiran, Scott Robertson, Octavia Palmer, Mert Gur, Nam K Tran, Liron Pantanowitz   +15 more
semanticscholar   +1 more source