Build a Diverse Team to Solve the AI Riddle
Computer scientists failed at our AI project. English majors succeeded. Discover why diversity beats expertise in artificial intelligence.
Computer scientists failed at our AI project. English majors succeeded. Discover why diversity beats expertise in artificial intelligence.
IT teams and other business divisions can enhance their abilities to tackle complex data or artificial intelligence challenges (and more) by working with student teams.
Over the course of his career, Byrum has worked with thousands of crowdsourcing projects, and he strongly believes that they generally yield more innovative solutions than working with internal domain experts.
When it comes to cross-campus collaboration, Carnegie Mellon University puts it to practice, and it’s immensely powerful.
Overall, Byrum’s philosophy is that cognitive diversity in his team and ecosystem are very important, and that many data science groups lack such diversity.
Augmented intelligence systems will quietly boost productivity by calculating likely outcomes so that better informed human teams will make better decisions.
A degree from the Department of Plant, Soil and Microbial Sciences gave notable alum Joseph Byrum the essential analytical and intellectual tools to succeed in a growing biotechnology industry.
Only 3% of college grads consider agriculture while 22,000 high-paying jobs go unfilled. Discover the crowdfarming solution drawing tech talent.
Joseph Byrum, global head of soybean seeds and traits R&D at Syngenta, has been named a recipient of the 2016 Outstanding Alumnus Award from Michigan State University.