This week we begin with an article on how a DNA database led to the conviction of one of the most notorious serial killers in US history. Next, we have a story on a major data leak of a data broker, Social Data, that left 235 million social profiles exposed. The following article talks about the creation of an online database featuring the lives and work of overlooked female artists containing over 1.55 million newly- sorted archives. Then, we have a story that discusses the significance of using high quality and unbiased data to train Artificial Intelligence solutions and the threat bad data poses to such solutions. Next, we cover the lack of access to data on workplace diversity in, by ESG investor group that prioritizes environmental conservation, social impact and good governance. Lastly, we have an article about NASA leveraging satellite data to facilitate disaster response to hurricane Laura, in Louisiana and Texas.
Genetic forensics: How the controversial technique helped convict the Golden State Killer
One of the most notorious serial killers in US history has been sentenced to life in prison. Former police officer Joseph James DeAngelo, known as the Golden State Killer, committed at least 13 murders and more than 50 rapes in the state of California between 1973 and 1986.
Major Data Broker Exposes 235 Million Social Media Profiles in Data Leak
Social Data, a data broker that appears to have been scraping public social media profiles for information without the knowledge or consent of the host companies, is the latest organization to get caught with an exposed public database. The source of the data leak was an unsecured database sitting unprotected without a password, apparently due to some sort of configuration error.
New database shines spotlight on overlooked women artists
A Polish art historian is filling a gap in the history of European art by building, and sharing, an online database highlighting the lives and work of overlooked female artists.
Today’s AI Solutions Require Quality, Unbiased Training Data
From self-driving cars to chatbots that help us shop online, AI is becoming increasingly essential to the technologies we utilize daily. However, whether your focus is on natural language processing (NLP) or autonomous driving, there’s one thing that remains equally important: training data must be of the utmost quality, secure, diverse, ethically sourced and free of errors that might compromise the intelligence of your algorithm.
ESG Investors Find That Diversity Data Is Hard To Come By
Calls for racial diversity at every level of the corporate world have inspired socially conscious investors. It’s a powerful group, with more than $30 trillion in global assets backing companies that prioritize environmental stewardship, social impact, and good governance, known by the shorthand ESG.
Eyes on the Storm: NASA Aids Disaster Response to Hurricane Laura
Early in the morning on Aug. 27, Hurricane Laura made landfall along the Louisiana and Texas coastline, bringing 150 m.p.h. winds, flash floods, and heavy rainfall with it. On the ground, emergency personnel mobilized to respond to the Category 4 storm. But for NASA’s fleet of Earth-observing satellites, it was business as usual.
Source: https://mailchi.mp/zigram/data-asset-weekly-dispatch_31_august
