A board game from the 1960s has been updated with “digital” cards using algorithms and big data, reports The New York Times. In the past, Strat-O-Matic, a “baseball simulation game,” was “played using cards for each player based on statistics from the previous season.” In its latest iteration, called Baseball Daily, the cards are “updated daily,” allowing players “to play games in the present,” says Adam Richman, son of the game’s founder, Hal Richman.
“Every year, we try to push forward digitally,” Adam says. “We need to rethink how we are doing everything.” He adds: “This is a natural evolution that will allow more engagement for our fans and expand our purview.” The hope is that Baseball Daily will “scoop up some daily gamers who have been flocking to the fantasy sports sites FanDuel and DraftKings, although Baseball Daily does not involve cash prizes and is structured differently.”
Strat-O-Matic is also developing apps. Traditionalists will, of course, be able to continue play Strat-O-Matic the old-fashioned way, using last year’s data.
Bloomberg Business: “Munchery is one of dozens of technology startups around the world trying to solve the challenge of mealtime planning with the tap of an app. GrubHub in the U.S., Just Eat in Europe, and Ele.me in China, to name just a few, all connect Internet users with restaurants and their takeout menus. Critics derisively call the proliferation of these businesses the “lazy food economy,” but Munchery is different. It cooks and delivers its own relatively healthy fare.”
“The company is in four cities—San Francisco, Los Angeles, New York, and Seattle—operating industrial kitchens in each. One recent afternoon in San Francisco, chefs and their assistants, wearing white caps and long-sleeved smocks, toiled over trays of grilled salmon atop brown rice with edamame and sweet carrots ($10.99) and pork belly buns with hoisin sauce, shredded cabbage, and pickled daikon ($10.95) … After they’re prepared, the dishes are chilled in refrigerated rooms, packed in compostable boxes, and loaded into cars for delivery. Customers heat them up for about two minutes in a microwave or 10 to 20 in an oven.”
The difference between the way Netflix and Amazon use big data is the difference between a hit and an also ran, reports The Observer. Data scientist Sebastian Wernicke, in a TED Talk, “explained how two shows, which were strategically made with data analysis methods creators thought would ensure Breaking Bad caliber success, were created, and how they faired in the ratings. One, Netflix’s House of Cards, worked—the show went on to score a 9.1 on the rating curve. The other, Amazon’s Alpha House, however, fell short and landed at 7.5 on the curving, marking it as a completely average show.”
“When Amazon set out to make a data-driven show, the company held a competition. They evaluated a bunch of show ideas, selected eight of them and then created a pilot episode for each and made them available online for free. Millions watched the free episodes, and the company used data (such as how many people watched each show, how long they watched and what parts they skipped) to create a show they hoped would be destined for greatness. After crunching millions of data points, the results said they should create a sitcom about four Republican U.S. senators. Alpha House was born.”
“Around the same time, Netflix was brewing up something similar. But instead of using a competition, the company looked at the data they already had about viewing on their platform (ratings, viewing history, etc). They used that data to discover small bits and pieces about what viewers like and took a leap of faith … Amazon’s show wasn’t a booming success because it used data all the way. Netflix, however, looked at what users like and used that insight to think up a concept for what they believed would be a hit show, and it clearly worked.”