CDC Creating a ‘Ruckus’ Around Mortality Reporting
By Deborah Borfitz, Senior Science Writer, AI Trends
As an entrepreneur-in-residence with the Centers for Disease Control and Prevention (CDC), data scientist Paula Braun says she...
Bias and Fairness: Striking a Balance
By AI Trends Staff
AI relies on large datasets to train machine learning models, and those datasets can be highly skewed in characteristics of race,...
AI in Manufacturing, in Use by Less than 8% Today, Seen Growing to 50%...
By AI Trends Staff
Using AI and the Internet of Things (IoT) should help manufacturers restructure supply chains, improve efficiency, address skills shortages, transform operations...
Consumers Skeptical of AI Advice on Healthcare; New Book on Subject is Optimistic
By AI Trends Staff
Consumers are skeptical about trusting advice on healthcare coming from AI systems, according to a survey of 2,000 adults by Harris...
D&B Survey Finds Data Practices Lacking, Creating Opportunity for Data Preparation Firms
By AI Trends Staff
Businesses are missing revenue opportunities and losing customers due to bad data practices, according to a new report from Dun &...
How AI in the Energy Sector Can Help Solve the Climate Crisis
Artificial intelligence conjures fears of job loss and privacy concerns — not to mention sci-fi dystopias. But machine learning can also help us save...
As Governments Adopt AI, Little Oversight and Lots of Danger
By James Hendler, Rensselaer Polytechnic Institute
Artificial intelligence systems can – if properly used – help make government more effective and responsive, improving the lives of...
Federal CIO Kent Previews Next Steps for AI and Data Policy
The White House plans to continue increasing automation and making datasets more usable on the civilian side and plans to work with agencies to...
Develop An Artificial Intelligence Strategy; Include These 9 Things
By Bernard Marr, author and futurist
Artificial intelligence (AI) has the potential to transform every business – in the same way (and possibly more) as...
Here Are 10 Statistical Techniques Data Scientists Should Master
1. Linear Regression
In statistics, linear regression is a linear approach to modeling the relationship between a scalar response (or dependent variable) and one or...
Predictive Analytics
