ENTERPRISE MOBILE NEWS OF THE WEEK: 12/20/17
Last one before the holiday season begins. What was the big Enterprise Mobile News these last couple of weeks? Take a look:
- Microsoft’s Edge browser is now available for Android and iOS. OK, just kidding, I don’t think anyone really cares about this.
- Elon Musk follows through on his Twitter bet. As if delivering a 100 MegaWatt “backup power plant,” in 100 days that’s connected to a nearby wind farm wasn’t amazing enough. Now it looks like Hyundai is going to deliver a 150MW by Valentine’s Day. Battery prices are falling dramatically, as are the costs of solar arrays. But by all means let’s be sure and fire up a new “clean” coal plant.
- A great primer on AI in the Enterprise from Harvard Business Review.
- For a while now, people have been talking about leveraging “band” real estate to add sensors and other capabilities to wearables like Apple Watch. Israeli company Glide announced the CMRA strap a year ago (though still not shipping). But AliveCor’s Kardiaband EKG reader just received FDA approval–a giant step for any medical device. Very cool and perhaps the shape of things to come that can be leveraged for the enterprise.
- In a related note, Apple has launched their own heart study to help screen for atrial fibrillation.
- Very interesting and hopeful post on how self-driving cars can help low-income people not only reduce transportation costs over buses and trains, but more importantly get them to their jobs more quickly and with far less hassle. This would be a boon to those who have trouble holding a job because they can’t get to work on time. Also, many low-income folks are the victims of predatory financing schemes from used car dealers, as explained by John Oliver last year.
- If you’re starting to build Augmented Reality apps, read this before you get too far. Good tips on design principles for what is for many a brand-new interaction methodology.
- I’m really enjoying these posts on the Apple Machine Learning Journal. The latest is on learning with differential privacy at scale. Lots of good details around system architecture to digest, like this little nugget:
- As much as I like his insights on design language and strategy, I really appreciate the notes Luke Wrobeleski distributes from other interesting presentations. Some good points here as he recaps Daniel Burka’s presentation, “Prototyping: The Scientific Method of Business”, where Burka describes how different prototyping techniques create value for businesses—based on his work with Google Ventures.
- The CEO of automation company ABB says we shouldn’t fear automation. Does the phrase “’Come into my parlor,’ said the spider to the fly” ring a bell?
- Shall we play a game? Google/Deep Mind has generalized the AlphaGo algorithm, now called AlphaZero, so that it can learn and master games like Chess (but hopefully not Global Thermonuclear War) on its own, given no domain knowledge except the game rules. Within 24 hours the new algorithm achieved “a superhuman level of play in Chess and Shogi (Japanese Chess) as well as Go, and convincingly defeated a world-champion program in each case.”
“Whenever an event is generated on device, the data is immediately privatized via local differential privacy and temporarily stored on-device using data protection, rather than being immediately transmitted to the server. After a delay based on device conditions, the system randomly samples from the differentially private records subject to the above limit and sends the sampled records to the server. These records do not include device identifiers or timestamps of when events were generated.”