Mark Randall is a serial entrepreneur and leading technology strategist. AtTNW2011Randall will share his extraordinary journey and the powerful lessons learned. Randall also reveals his prediction for the next billion dollar web opportunity (no, it’s not social, mobile, location, e-commerce or gaming). We asked Randall a few questions about these audacious claims: Boris:At the conference you’re going to be revealing your prediction for the next billion dollar web opportunity. Can you give us any hints?...

I spend a lot of time researching videos and I’ve noticed a trend recently where the quality of videos shared by brands and businesses is decreasingly rapidly. The big race is for everybody to create something “viral” which basically means getting a lot of views at all costs. The easiest way to get views online is by doing something completely shocking but although that gets the viewer’s attention is it really wise to portray a crazy message for your brand just for views?...

The big idea We combined a machine learning algorithm with knowledge gleaned from hundreds of biological experiments to developa techniquethat allows biomedical researchers to figure out the functions of the proteins that turn genes on and off in cells, called transcription factors. This knowledge could make it easier to develop drugs for a wide range of diseases. Early on during the COVID-19 pandemic,scientists who worked out the genetic code of the RNA molecules of cells in the lungs and intestinesfound that only a small group of cells in these organs were most vulnerable to being infected by the SARS-CoV-2 virus....

How machine learning enhances customer segmentation The k-means clustering algorithm Machine learning algorithms come in different flavors, each suited for specific types of tasks. Among the algorithms that are convenient for customer segmentation is k-means clustering. K-means clustering is anunsupervised machine learning algorithm. Unsupervised algorithms don’t have a ground truth value or labeled data to assess their performance against. The idea behind k-means clustering is very simple: Arrange the data into clusters that are more similar....

COVID-19 has fundamentally changed our relationship with the office. After the enforced experiment of lockdowns pushing about 40% of the labor force into working from home, few of us want to return to the pre-pandemic status quo. Yes, we miss the sociability of the workplace, but surveys show at least three-quarters of us want the option to spend a few days working at home and a few days in the office....