Sentence examples for inclusive data from inspiring English sources
"At Samsung, we've been committed to creating inclusive data saving and privacy protection services for all our devices.
I advocate the generation and analysis of more inclusive data, listening to the arts community (and all New Yorkers) and mapping cultural assets neighborhood by neighborhood.
The equity issues examined in this study will need to be monitored over time, and Dance/NYC both advocates for and seeks more far more inclusive data to ensure the relevance and cultural competence of its research and policy positions.
7. Health disparities revealed and inclusive data collection -This summer we released the first health disparities report that synthesizes intersectional data across sexual orientation, race, age and income level, revealing some startling information about the health inequities the LGBT community faces.
Overcoming exclusion begins with inclusive data.
For each trial, we used the most updated or most inclusive data.
MAX: Transforms moto-taxi mobility in Africa using mobile apps, inclusive data-driven asset-finance and a comprehensive driver on-boarding program that uses machine learning and psychometric tests to profile drivers and create credit scores for them.
MAX: Transforms moto-taxi mobility in Africa using mobile apps, inclusive data-driven asset-finance, and a comprehensive driver on-boarding program that uses machine learning and psychometric tests to profile drivers and create credit scores for them.
"Every city and state has a unique set of policy preferences and budgetary challenges; what is critical to achieving lasting reform is an open, inclusive, data-driven process".
Basically, what is needed is all-inclusive data security control, involving high transparency and understandability for the user [36].
As an example, if we consider the volume aspect of data then it could happen that some individual leaves sparse digital footprint (may be because of her personal habits of technology usage) as compared to a few others, resulting in a non-all-inclusive data analytics that could lead to biased policies.
