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FPF-DSR-CaseStudies-ALL
[…] the full Case Study Report. Data Sharing Type: Closed Trusted Partnerships ORGANIZATION AND PARTNERS Company Founded in 2011, Gravy Analytics is a location technology company based in Virginia with about 60 employees and a reported annual revenue of $16.9 million in 2022. 1 The company primarily provides location data and analytics to other companies […]
FPF Data Sharing for Research Compendium R5-Digital
[…] at a larger scale in applied settings and potentially infer causality. Organization and Partners Company Founded in 2011, Gravy Analytics is a location technology company based in Virginia with about 60 employees and a reported annual revenue of $16.9 million in 2022. 7 The company primarily provides location data and analytics to other companies […]
FPF-Data Sharing Case Study Gravy Analytics R2
[…] the full Case Study Report. Data Sharing Type: Closed Trusted Partnerships ORGANIZATION AND PARTNERS Company Founded in 2011, Gravy Analytics is a location technology company based in Virginia with about 60 employees and a reported annual revenue of $16.9 million in 2022. 1 The company primarily provides location data and analytics to other companies […]
FPF-Data Sharing Case Study Microsoft R2
Data Sharing for Research CASE STUDY MICROSOFT Executive Summary The Future of Privacy Forum (FPF) analyzed a diverse sample of data sharing partnerships between companies and academic researchers and produced a series of case studies distilling our findings. We learned that there is broad consensus regarding the potential benefits of industry/academic data sharing partnerships, […]
Our Members
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FPF Data Sharing for Research Compendium R5-Digital
[…] at a larger scale in applied settings and potentially infer causality. Organization and Partners Company Founded in 2011, Gravy Analytics is a location technology company based in Virginia with about 60 employees and a reported annual revenue of $16.9 million in 2022. 7 The company primarily provides location data and analytics to other companies […]
Spectrum of AI Report
[…] Adversarial Networks (GANs) are the newest variation of ML being developed, and are based on a pair of neural networks that learn by attempting to get the bet – ter of each other. First, the “generator” of the pair creates an output (e.g., an image) based upon the initial human programming. The other network, […]
FPF-AIEcosystem-Report-Jun23-R4-Digital
[…] Adversarial Networks (GANs) are the newest variation of ML being developed, and are based on a pair of neural networks that learn by attempting to get the bet – ter of each other. First, the “generator” of the pair creates an output (e.g., an image) based upon the initial human programming. The other network, […]
The First Japan Privacy Symposium: G7 DPAs discussed their approach to reign in AI, and other regulatory priorities
[…] are covered by the “unfair practices” doctrine of the FTC. UK Commissioner John Edwards gave a detailed account of the impact of the UK’s Age Appropriate Design Code in the design of online services provided to children, which was launched by his office in 2020. “We have seen genuine changes, including privacy settings being […]
A New Domicile for Comprehensive Privacy in Delaware
[…] for Teens The DPDPA forbids covered entities from selling or processing for targeted advertising purposes the data of consumers that the controller knows, or willfully disregards, are between the ages of 13 and 17 without consent. This prohibition goes farther than similarly-structured prohibitions in California, Connecticut, and Montana, which place restrictions on the sale […]