Accelerating Innovation: Leveraging Cloud Services to Drive AI Adoption and Use

Harnessing cutting-edge AI, machine learning, and data-driven research often involves leveraging cloud computing platforms. This BoF session will feature a panel of speakers who will showcase how using the AI-related services provided by Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) have led to research insights and discoveries at our institutions, after which the discussion will be opened to the floor. This BoF will expose attendees to the benefits and challenges such use offers, including streamlined publication processes, extended computational resources, upskilling opportunities, as well as privacy, security, cost and reproducibility conundrums. The session will explore real-world case studies, showcasing how researchers across diverse disciplines have leveraged these technologies to accelerate their work, drive innovation, and contribute to the advancement of human knowledge. The aim of this panel discussion is for attendees, including researchers, data scientists, software engineers, and professionals supporting research at academic, government, and not-for-profit organisations, to walk away with ideas and strategies for getting the most out of the smorgasbord that cloud providers offer.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-31
DOI
https://doi.org/10.5281/zenodo.15293646
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Accelerating Innovation: Leveraging Cloud Services to Drive AI Adoption and Use

Zenodo (CERN European Organization for Nuclear Research)
Cloud Computing and Resource Management
article

Accelerating Innovation: Leveraging Cloud Services to Drive AI Adoption and Use

article en

Abstract

Harnessing cutting-edge AI, machine learning, and data-driven research often involves leveraging cloud computing platforms. This BoF session will feature a panel of speakers who will showcase how using the AI-related services provided by Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) have led to research insights and discoveries at our institutions, after which the discussion will be opened to the floor. This BoF will expose attendees to the benefits and challenges such use offers, including streamlined publication processes, extended computational resources, upskilling opportunities, as well as privacy, security, cost and reproducibility conundrums. The session will explore real-world case studies, showcasing how researchers across diverse disciplines have leveraged these technologies to accelerate their work, drive innovation, and contribute to the advancement of human knowledge. The aim of this panel discussion is for attendees, including researchers, data scientists, software engineers, and professionals supporting research at academic, government, and not-for-profit organisations, to walk away with ideas and strategies for getting the most out of the smorgasbord that cloud providers offer.

Zenodo (CERN European Organization for Nuclear Research)
The University of Sydney (AU)
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Cloud Computing and Resource Management
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