Business in Action, 9th Ed.
Appendix C: Information Technology
"Sometimes it's hard to know what statistics are worthy of trust.
Any work team can run these checkups to find out how healthy it is and get remedies for problem areas.
My Next Move helps you identify careers that involve the kinds of work you like to do.
Affectiva’s website offers several ways to try emotion-recognition AI, including mapping your emotions while you watch a YouTube video.
"Believe it or not, you can KonMari your work life, too (although no, you can’t just get rid of that co-worker who isn’t bringing you joy).
"Before, entrepreneurs would usually pay more attention to their gut rather than trust data.
Take the quiz at Saleforce.
Jennifer Frost has the infographic at GrammarCheck.
Alison Green (photo, left) answers a question from a reader who is struggling with her office's open floor plan.
"Identify what works for your specific needs.
"Every webpage you visit, your online purchases, the songs you listen to on the internet, pages you follow on Facebook or any likes you leave under posts on social media create your digital footprint, which is a gold mine of information about you, information that can be used to influence your behavior.
"Jesse Rieser's memories of growing up in Springfield, Missouri in the 1990s unfold against a familiar retail backdrop: storming the aisles of Toys R Us with his brother; meeting friends at the mall to flirt with girls and play videogames; hunting new bands in the CD racks of Best Buy," writes Laura Mellonee in a piece at Wired.
"Businesses can only operate as effectively as they can communicate.
"We feel that technology is bad, while it actually isn't.
"Many artificial intelligence researchers expect AI to outsmart humans at all tasks and jobs within decades, enabling a future where we're restricted only by the laws of physics, not the limits of our intelligence.
"AI is one of the hottest topics in the technology world today.
"As a research scientist at Google, Margaret Mitchell helps develop computers that can communicate about what they see and understand.
"Machine learning is on the verge of seriously impacting workplace communications.
"When it comes to digital infrastructure and the relationship we have with it, it feels as if we’re at an important crossroads right now.
"Artificial intelligence (AI) is already becoming entrenched in many facets of everyday life, and is being tapped for a growing array of core business applications, including
predicting market and customer behavior, automating repetitive tasks and providing alerts when things go awry.
"We already live among robots: tools and machines like dishwashers and thermostats so integrated into our lives that we'd never think to call them that.
"Rebecca Greenfield covers the workplace for Bloomberg.
"Only time will tell.
Abby Wolfe tells the story of Erin McKean (photo, left) who went from lexicographer to start-up founder.
"As a research scientist at Google, Margaret Mitchell helps develop computers that can communicate about what they see and understand.