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Data Quality

All articles tagged with #data quality

Urban Emissions Gap: NAU Study Finds Climate TRACE Underestimates City CO2 by 70%
environment1 day ago

Urban Emissions Gap: NAU Study Finds Climate TRACE Underestimates City CO2 by 70%

A Northern Arizona University-led study comparing Climate TRACE’s onroad vehicle CO2 estimates with the Vulcan dataset found Climate TRACE undercounts urban emissions by about 70% on average across 260 U.S. cities, with some cities undercounted by over 90%. The results raise concerns about the accuracy of AI-derived climate data and underscore the need for guardrails, transparency, and cross-validation to inform policy decisions.

via SciTechDaily|
#climate-change#climate-trace#data-quality
Early Signs of AI Model Failures Emerge
technology1 year ago

Early Signs of AI Model Failures Emerge

The article discusses the emerging signs of AI model collapse, where AI systems, especially in search and data generation, are producing increasingly unreliable and distorted results due to error accumulation, loss of rare data, and feedback loops. This decline threatens the usefulness of AI, particularly as models are trained on their own outputs, leading to a cycle of degrading accuracy and trustworthiness, with potential consequences for businesses and users alike.

via theregister.com|
#ai-model-collapse#ai-reliability#data-quality
Maximizing the Potential of AI Chatbots: A Guide for Directing Enhanced Utility
technology2 years ago

Maximizing the Potential of AI Chatbots: A Guide for Directing Enhanced Utility

A.I.-powered chatbots like ChatGPT and Bard often fabricate information, leading to inaccurate answers and advice. However, by directing these chatbots to use information from trusted sources such as credible websites and research papers, they can generate intelligible answers and useful advice with a high degree of accuracy. This approach can also help reduce the production and spread of misinformation. Examples include using plug-ins that pull data from well-known media sites for meal planning, relying on trusted sources and double-checking data for research, and incorporating suggestions from favorite travel sites for travel planning. The key is to pair the language simulation ability of A.I. chatbots with high-quality information to maximize their usefulness.

via The New York Times|
#ai-chatbots#data-quality#directing-chatbots
"40 Eye-Opening Charts That Redefine Your Perspective"
data-science2 years ago

"40 Eye-Opening Charts That Redefine Your Perspective"

The subreddit r/dataisbeautiful showcases easy-to-understand visualizations that effectively convey complex information. Data analysts can identify and address data quality issues in large datasets by employing strategies such as data profiling, cleaning, imputation, and validation. Organizations should look for data analysts with problem-solving skills, proficiency in programming languages and software, statistical analysis, machine learning knowledge, data visualization ability, and communication skills. Unstructured data requires additional care, and organizations should foster a data-driven culture while keeping in mind the ethics of data collection, usage, and storage.

via Bored Panda|
#data-analysis#data-quality#data-science