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Research papers

Fusion Forward

Reduced cost by 30%, increased impact and scope by 200% while working in a market undergoing huge foundational change.

Catalogue: Fusion 2019
Author: Barry Jennings
Company: Microsoft
November 10, 2019
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Citation

Jennings, B. (2019a, November 10). Fusion Forward. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/fusion-forward


Research papers

Machine learning and privacy

Machine Learning algorithms are born as a solution to a problem. Once we feel comfortable with a prototype, there is still a long path to its deployment...and it is rarely a smooth one. We would like to share our experience transiting that path.

Catalogue: Fusion 2019
Authors: Marcello Frattini, Anna Bellido, Joaquin Casino
Company: Netquest
November 10, 2019
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Citation

Frattini, Bellido and Casino (2019a, November 10). Machine learning and privacy. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/machine-learning-and-privacy


Research papers

The value of machine learning in privacy

Online behavioral data is a valuable source of insights for researchers. However, data collected passively via tracking meters contains Personal Identifiable Information (PII). With the GDPR into force, the value of online behavioral data is...

Catalogue: Fusion 2018 (Big Data World + Global Qualitative)
Authors: Carlos Ochoa, Ezequiel Paura
Company: Netquest
November 11, 2018
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Citation

Ochoa and Paura (2018a, November 11). The value of machine learning in privacy. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/the-value-of-machine-learning-in-privacy-9493