AI Canhoto, F Clear - Business Horizons, 2020 - Elsevier
… This article aims to empower decision makers to identify problems so that they can manage risks and be confident in their investments. Specifically, we propose a framework that …
… Artificialintelligence (AI) and machinelearning (ML) are mechanisms that evolved from data management … Incorporating these mechanisms into business is a trend many different …
JP Bharadiya - International Journal of Computer (IJC), 2023 - researchgate.net
… of machinelearning and artificialintelligence (AI) in business … and challenges of artificial intelligence and machinelearning … and challenges of artificialintelligence and machinelearning …
R Cioffi, M Travaglioni, G Piscitelli, A Petrillo… - Sustainability, 2020 - mdpi.com
… This article reviews machinelearning methods for bioinformatics and it presents modelling … This value is expected to increase rapidly considering the interest in the issues of ML and AI…
… unsupervised and reinforcement. • Supervisedmachinelearningproblems are problems … • Unsupervised machinelearningproblems are problems where our data does not have a set …
A Sestino, A De Mauro - … Analysis & Strategic Management, 2022 - Taylor & Francis
… a clear description of what ArtificialIntelligence is today. The … of two established machine learning algorithms (LDA and … business environments impose continuous challenges for …
… management tools. The tool generates prioritized and grouped tasks by artificialintelligence. … a vision of complex ideas, concepts, or projects, which is generated into tasks viewable in …
… intelligent systems that offer artificialintelligence capabilities often rely on machinelearning. … analytical model building and challenges of implementing intelligent systems based on ML …
I Lee, YJ Shin - Business Horizons, 2020 - Elsevier
… The US Congress passed the SELF DRIVE Act and the AV START Act to address the safety of driverless vehicles, and the FUTURE of ArtificialIntelligence Act to address AI concerns. In …