The latest edition of The American Statistician is dedicated to proposals for living in a post p<.05 world, a world in which a statistical test with a result of “p<.05” is no longer given the importance it has previously been afforded. Decent, honorable researchers once discussed such things only in
Analytics can bring tremendous value to a business. However, investing in an analytics solution is often easier said than done. The key challenge is demonstrating the value of analytics without first investing in technology and resources. The solution? Take a results-based approach to establish the value of analytics by using
I just spent four inspiring days talking to customers about the many ways they are putting analytics into action in their organizations. From computer vision models that interpret medical images to natural language processing models that analyze supply chain records, SAS users are doing ground-breaking work with analytics and AI.
To say Michio Kaku is smart is an understatement. For a science fair in high school, he built a particle accelerator made of 400 pounds of scrap metal. Have you ever watched the TV show, The Big Bang Theory? Sheldon and Leonard support string theory research on the show. Kaku
SAS has one of the highest percentages of women working in the technology industry. And yet, a persistent gender gap in technology is cause for concern as the number of women seeking degrees in computing continues to shrink. Why is that? Kicking off day three of SAS Global Forum, SAS
Artificial intelligence is the attention-grabbing, overhyped, shiny object that every organization is searching to make use of. Yes, it is overhyped, but it’s also very real and very powerful. “We do not want to add to the hype. We do not want to add to the confusion. We want to