Could Apple Pay Spell the End of BYOD?
Here’s an angle you might not be thinking about when it comes to Apple Pay (set for release this very week): Could the service actually spell the end of the BYOD movement? The CEO of Harmon.ie, Yaacov Cohen, went on record with CIO.com arguing that the need to share personal payment information to power Apple Pay will make workers uncomfortable with submitting their devices to IT review and policies. As Cohen puts it, if Apple Pay takes off, then our phones will become our wallets. And are we ready to hand over our wallets to employers? Cohen believes that Apple has the scale to make mobile payments mainstream, but he also thinks the movement could spell trouble for the complex BYOD environment. Would you agree? Tell us in the comments!
iOS 8 Adoption Curve: Steep
One well-documented challenge of developing for Android is the many versions of its OS that people run on their phones. Apple’s customers tend to adopt new operating systems more rapidly, and iOS 8 is no exception. Almost half of all active iPhones and iPads are already running the new OS, which was released on September 17. By contrast, Android’s newest OS, KitKat, has been out for 10 months and still hasn’t hit 25 percent adoption. The graphs in The Verge’s article make this disparity painfully clear and highlight just how many different versions of Android operating systems developers need to take into consideration (at least four). This only underscores the importance of using a cross-platform tool when you develop apps. No one wants to write new code for every different device, operating system and form factor. The right tools can help you reuse code and avoid the hassle and headache inherent to app development in a world full of customers who don’t always upgrade to the newest OS.
Soccer Puts Wearables to Use Reducing Injuries
It’s not always easy to see how wearable devices can make an impact in any given industry. But the Seattle Sounders have put together a strategic program that uses wearables to reduce injuries among their players. They’re succeeding: injuries have been reduced by more than half this year vs. 2012. How does it work? The Sounders use data gathered from a variety of devices to better understand the nature of each player’s game and when they’re most likely to get hurt. These devices include GPS technology, heart rate monitors, sleep trackers and more. Their performance analytics guru then takes this information, analyzes it using Tableau and produces individual reports that help the team better understand how players respond to certain exercises. Ultimately, they can use this data to make decisions about training schedules, game lineups and even which players they should recruit. It’s a worthwhile project, and one whose learnings can apply to many types of companies. While there may not be purpose-built tools out there for your industry, it’s worth putting some thought into what types of data you could collect using various wearables and other sensor-based devices and how you could use that data to improve performance on many levels.