Analysis of emerging technologies. trends and platforms used in intellectual property (IP) licensing

This report analyses emerging technologies and platforms in intellectual property (IP) licensing, examining their role in enhancing and transforming licensing activities. It is part of the HORIZON EUROPE-funded IMPAC3T-IP project, specifically Deliverable 3.1 of Work Package 3 on Technology Trends. Chapter 1 provides further details on the project's objectives. Chapter 2 highlights the shift from traditional, manual licensing processes to technology-driven solutions that improve efficiency, accuracy, and IP dissemination. It also explores regulatory developments, including the Digital Services Act, Digital Markets Act, and AI Act. Chapter 3 examines key technologies impacting licensing, such as Federated Machine Learning, Generative AI, Blockchain, Digital Twins, and AI TRiSM. These are grouped into seven technology clusters. Chapter 4 explores new licensing platforms across six categories, from technology listing to feature-rich licensing solutions. Chapter 5 connects these technologies and platforms to IMPAC3T-IP’s three scenarios: Classical Plus licensing, Co-creation, and Crisis situations. Finally, Chapter 6 underscores the importance of adopting technology strategically, ensuring alignment with organisational needs and objectives.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-01
DOI
https://doi.org/10.5281/zenodo.14916788
Primary Topic
Visual perception and processing mechanisms
Type
article
Field-Weighted Citation Impact
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article

Analysis of emerging technologies. trends and platforms used in intellectual property (IP) licensing

Zenodo (CERN European Organization for Nuclear Research)
Visual perception and processing mechanisms
article

Analysis of emerging technologies. trends and platforms used in intellectual property (IP) licensing

article en

Abstract

This report analyses emerging technologies and platforms in intellectual property (IP) licensing, examining their role in enhancing and transforming licensing activities. It is part of the HORIZON EUROPE-funded IMPAC3T-IP project, specifically Deliverable 3.1 of Work Package 3 on Technology Trends. Chapter 1 provides further details on the project's objectives. Chapter 2 highlights the shift from traditional, manual licensing processes to technology-driven solutions that improve efficiency, accuracy, and IP dissemination. It also explores regulatory developments, including the Digital Services Act, Digital Markets Act, and AI Act. Chapter 3 examines key technologies impacting licensing, such as Federated Machine Learning, Generative AI, Blockchain, Digital Twins, and AI TRiSM. These are grouped into seven technology clusters. Chapter 4 explores new licensing platforms across six categories, from technology listing to feature-rich licensing solutions. Chapter 5 connects these technologies and platforms to IMPAC3T-IP’s three scenarios: Classical Plus licensing, Co-creation, and Crisis situations. Finally, Chapter 6 underscores the importance of adopting technology strategically, ensuring alignment with organisational needs and objectives.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 60%
Visual perception and processing mechanisms
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