Tootfinder

Ember data are terrific! https://ember-climate.org/data/data-tools/data-explorer/

Real-time data analytics startup Tinybird raised a $30M Series B, at a "significantly higher" valuation than its $37M Series A; source: it's now valued at $240M (Romain Dillet/TechCrunch)
https://techcrunch.com/2024/06/17/tiny

Tinybird raises another $30 million to transform data into real-time APIs | TechCrunch
Tinybird is not so tiny anymore. The enterprise data startup TechCrunch first covered three years ago has been growing at a rapid pace and recently raised

Apple’s ChatGPT integration raises data privacy and competition questions
https://www.euractiv.com/section/data-privacy/news/apples-chatgpt-integration-raises-data-privacy-and-competition-questions/…

A pictures says more than 1000 words. How much more can an audio representation of your data tell you? #rstats <…

sonify: Data Sonification - Turning Data into Sound
Sonification (or audification) is the process of representing data by sounds in the audible range. This package provides the R function sonify() that transforms univariate data, sampled at regular or irregular intervals, into a continuous sound with time-varying frequency. The ups and downs in frequency represent the ups and downs in the data. Sonify provides a substitute for R's plot function to simplify data analysis for the visually impaired.

General election: ORG launches tool to help people opt out of data processing by political parties | Open Rights Group https://www.openrightsgroup.org/press-releases/general-election-opt-out-of-data-processing-by-political…

On 16WW Data Collections and Graphs - Open for research #dataset - https://www.earth.org.uk/note-on-data.html

On 16WW Data Collections and Graphs
Open for research #dataset

Regulators block Meta from training AI on user data
UK and EU authorities have told Meta to pause plans to train LLMs on Facebook and Instagram data
https://www.computing.co.uk/news/4323464/regulators-block-meta-training-ai-user

Regulators block Meta from training AI on user data
Regulators in the UK and European Union have forced Meta to pause its plans to train AI on user data.

Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective
Abdoul Jalil Djiberou Mahamadou, Aloysius Ochasi, Russ B. Altman
https://arxiv.org/abs/2406.10121 https://arxiv.org/pdf/2406.10121
arXiv:2406.10121v1 Announce Type: new
Abstract: Data are essential in developing healthcare artificial intelligence (AI) systems. However, patient data collection, access, and use raise ethical concerns, including informed consent, data bias, data protection and privacy, data ownership, and benefit sharing. Various ethical frameworks have been proposed to ensure the ethical use of healthcare data and AI, however, these frameworks often align with Western cultural values, social norms, and institutional contexts emphasizing individual autonomy and well-being. Ethical guidelines must reflect political and cultural settings to account for cultural diversity, inclusivity, and historical factors such as colonialism. Thus, this paper discusses healthcare data ethics in the AI era in Africa from the Ubuntu philosophy perspective. It focuses on the contrast between individualistic and communitarian approaches to data ethics. The proposed framework could inform stakeholders, including AI developers, healthcare providers, the public, and policy-makers about healthcare data ethical usage in AI in Africa.

Finbourne, which helps financial companies organize and use their data in AI and other models, raised a £55M Series B at a valuation just over £280M (Ingrid Lunden/TechCrunch)
https://techcrunch.com/2024/06/17/finbourne-ta…

Finbourne taps $70M for tech that turns financial data dust into AI gold  | TechCrunch
Finbourne, founded out of London’s financial center, has built a platform to help financial companies organize and use more of their data in AI and other models.

Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective
Abdoul Jalil Djiberou Mahamadou, Aloysius Ochasi, Russ B. Altman
https://arxiv.org/abs/2406.10121 https://arxiv.org/pdf/2406.10121
arXiv:2406.10121v1 Announce Type: new
Abstract: Data are essential in developing healthcare artificial intelligence (AI) systems. However, patient data collection, access, and use raise ethical concerns, including informed consent, data bias, data protection and privacy, data ownership, and benefit sharing. Various ethical frameworks have been proposed to ensure the ethical use of healthcare data and AI, however, these frameworks often align with Western cultural values, social norms, and institutional contexts emphasizing individual autonomy and well-being. Ethical guidelines must reflect political and cultural settings to account for cultural diversity, inclusivity, and historical factors such as colonialism. Thus, this paper discusses healthcare data ethics in the AI era in Africa from the Ubuntu philosophy perspective. It focuses on the contrast between individualistic and communitarian approaches to data ethics. The proposed framework could inform stakeholders, including AI developers, healthcare providers, the public, and policy-makers about healthcare data ethical usage in AI in Africa.