There is no end to the fretting about the impact of automation and AI on jobs and careers, along with the skills shortages that go with it. Heck, I've even done my share to add to the angst myself, posting pieces on the issues here and here. There is a lot of attention to automation and jobs, but what about the structures of the jobs themselves? Is automation and AI changing the way we do work, along with what we do? Digital success requires the human touch.Photo: Joe McKendrick For years – make that decades – business pundits, futurists and journalists have spoken about the shifting workplace, the end of the 9-to-5 routine, the all-telecommuting organization, and the flattening of the hierarchy.

With the world's biggest collection of open source data, GitHub's Data Science Team has just started exploring how we can use machine learning to make the developer experience better. I see machine learning shaping experiences around me every day, and I'm excited about what's to come in applying it to create more useful, predictive technologies. In this collection, I'll share the basics of machine learning, along with some related resources and projects for people who are getting started with it. Machine learning is the study of algorithms that use data to learn, generalize, and predict. What makes machine learning exciting is that with more data, the algorithm improves its prediction.

Artificial intelligence may be one of the technology world's current obsessions, but many people find it scary, envisioning robots taking over the world. Two top experts in the field-- Andrew Ng, a Stanford University adjunct professor and former AI scientist at Alphabet Inc.'s Google and Chinese internet giant Baidu Inc., and Tong Zhang, executive director of the AI Lab at Tencent Holdings Ltd. --sat down with The Wall Street Journal's global technology editor, Jason Dean, to explain why they believe the opportunities associated with this technology far outweigh the bad. The title of this panel refers to "the singularity," or the idea that artificial intelligence will become so powerful that robots will take over. Andrew, I know you're skeptical of that. What should we be worried about with AI and where are the biggest opportunities?