Putting AI into context-method support for the introduction of artificial intelligence into organizations

K Sandkuhl - 2019 IEEE 21st Conference on Business …, 2019 - ieeexplore.ieee.org
Artificial Intelligence (AI) is a technology area creating high expectations in many enterprises
when it comes to potential benefits for improving business, automating tasks or facilitating …

Applied artificial intelligence-based systems as competitive advantage

A Kordon - 2020 IEEE 10th International Conference on …, 2020 - ieeexplore.ieee.org
In the last decade Artificial Intelligence (AI)-based systems made a" giant leap" from a
narrow research area to a central business issue. The driving force of this unique …

Assessing the business impact of Artificial Intelligence

C Dietzmann, R Alt - 2020 - scholarspace.manoa.hawaii.edu
This research introduces two artefacts that contribute to the common understanding of
Artificial Intelligence (AI) and aim to provide guidance for designing AI applications. On the …

Effects of artificial intelligence on enterprise architectures-a structured literature review

JD Rittelmeyer, K Sandkuhl - 2021 IEEE 25th International …, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) is one of the key drivers of digital transformation and challenges
enterprises to adapt to its various requirements. Many companies fail to implement AI …

A multiple case study of artificial intelligent system development in industry

A Nguyen-Duc, I Sundbø, E Nascimento… - Proceedings of the 24th …, 2020 - dl.acm.org
There is a rapidly increasing amount of Artificial Intelligence (AI) systems developed in
recent years, with much expectation on its capacity of innovation and business value …

Use of EA models in organizational AI solution development

K Sandkuhl, JD Rittelmeyer - Enterprise Engineering Working Conference, 2021 - Springer
Digital transformation in combination with service ecosystems exploit and incorporate
innovative technologies, such as artificial intelligence, Internet of things or data analytics. For …

Towards enterprise-ready AI deployments minimizing the risk of consuming AI models in business applications

V Muthusamy, A Slominski… - 2018 First International …, 2018 - ieeexplore.ieee.org
The stochastic nature of artificial intelligence (AI) models introduces risk to business
applications that use AI models without careful consideration. This paper offers an approach …

Artificial intelligence tool penetration in business: Adoption, challenges and fears

S Schlögl, C Postulka, R Bernsteiner… - Knowledge Management in …, 2019 - Springer
Artificial Intelligence (AI) and its promise to improve the efficiency of entire business value
chains has been headlining newspapers for the last years. However, it seems that many …

Enterprise AI Canvas Integrating artificial intelligence into business

U Kerzel - Applied Artificial Intelligence, 2021 - Taylor & Francis
ABSTRACT Artificial Intelligence (AI) and Machine Learning have enormous potential to
transform businesses and disrupt entire industry sectors. However, companies wishing to …

Editors' reflections and introduction to the special section on 'Artificial Intelligence and Business Value'

P Mikalef, IO Pappas, J Krogstie, L Jaccheri… - International Journal of …, 2021 - Elsevier
This special section was motivated by the rekindled interest during the past few years on the
business value of Artificial Intelligence (AI). The acceleration of AI deployments in private …