3 citations · 3 across the 3 of their papers we have counts for
3 papers · 1 filter
Initial Insights on MLOps: Perception and Adoption by Practitioners
Sergio Moreschi, David Hästbacka, Andrea Janes +2
The accelerated adoption of AI-based software demands precise development guidelines to guarantee reliability, scalability, and ethical compliance. MLOps (Machine Learning and Oper…
Edge to Cloud Tools: A Multivocal Literature Review
Sergio Moreschini, Elham Younesian, David Hästbacka +3
Edge-to-cloud computing is an emerging paradigm for distributing computational tasks between edge devices and cloud resources. Different approaches for orchestration, offloading, a…
Toward End-to-End MLOps Tools Map: A Preliminary Study based on a Multivocal Literature Review
Sergio Moreschi, Gilberto Recupito, Valentina Lenarduzzi +3
MLOps tools enable continuous development of machine learning, following the DevOps process. Different MLOps tools have been presented on the market, however, such a number of tool…