Adults over age 60 who want to stave off memory loss could benefit from taking a daily multivitamin supplement, suggests a recent study from Columbia University in New York and Brigham and Women's Hospital/Harvard in Boston. "Daily multivitamin supplementation improved memory in older adults after one year, an effect that was sustained, on average, over the three years of follow up," Adam M. Brickman, PhD, professor of neuropsychology at Columbia University Vagelos College of Physicians and Surgeons, told Fox News Digital. During the study -- published in The American Journal of Clinical Nutrition -- more than 3,500 adults over age 60 were randomly assigned to take either a daily multivitamin or a placebo for a three-year period. At the end of each year, the participants completed self-administered cognitive tests to determine the strength of their memory. After the first year, those taking the multivitamin showed memory improvement compared to the placebo group -- an effect that continued over the entire course of the study.

If you're in the market to hire a data scientist, good luck. Demand continues to outpace supply thanks to the unique abilities of data scientists and businesses' desire to be data-driven. But you can increase the odds of success by keeping certain things in mind as you scour the land for unicorns. Six years ago, Tom Davenport and DJ Patil kicked off a hiring frenzy for data scientists by declaring data scientist "the sexiest job of the 21st century" in a Harvard Business Review article. That got the attention of corporations, universities, and out-of-work statisticians alike, and the frenzy to hire data scientists has not calmed down since.

If you were a data scientist three years ago, you could pretty much write your own ticket. Everybody in the industry, it seemed, either wanted to hire a data scientist, or wanted to be one. But today, thanks to a confluence of factors, organizations are beginning to question whether they need these digital unicorns at all. The key to understanding the dynamic at play here is to separate the activity of "data science" from the persona of "data scientists." Organizations most definitely want to do data science to get insight from their data.