Mobile Tea #17: Mobile Shake

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On Tuesday, June 27th starting at 5:30, the MobileTea #Boston community, and the Museum of Science Innovators will present the 17th edition of MobileTea hosted on the waterfront pavilion at the Museum of Science.
This evening's event consists of knowledge and networking for anyone interested in innovative technologies, test driven development, and software design techniques for mobile development using Android, and iOS. The evening will begin with family-friendly interactives, as the Museum’s Engineering is Elementary team will shake things up with an interactive activity about earthquake engineering.

Participation is “free as in beer” and consists of 3 interspersed talks with 2 networking sessions that include live DJ’d music and BBQ.

Presentations will vary from 20 to 30 minutes and networking breaks will vary from 15 to 30 minutes. Be prepared for an informal atmosphere, great food, and drink. Bring your passion for all things development and innovation, we look forward to meeting you!

Parking in the Museum garage is complimentary and will be validated at the check-in table in the lobby.

Master of ceremony: KeyTar Bear

Performing live: d'ella.

-----------------------------------------------------------------------Registration opens in the Museum lobby at 5:00 PM, the event starts at 5:30 PM. -----------------------------------------------------------------------

Event Program: (work in progress)

Networking Session 1 - DJ Mix 1 - Food & Drink

Automating the Quality of Your Digital Front Door [Paul Bruce @paulsbruce (https://twitter.com/paulsbruce)]
In the past year, we’ve seen voice control, fingerprint identification, and a slew of other innovations become mainstream to our mobile, digital lifestyle. Add on IoT and you have an exciting but complex landscape of consumer devices that can either be your company’s next platform or the third rail for developer burnout. How can we delight our customers but still maintain a culture of high quality to create exceptional cross-platform user experiences? DevOps Advocate Paul Bruce will how you can automate tricky edge cases and end-to-end tests across web, mobile, and IoT. (speech level: intermediate; duration: 25 minutes)

Live Low Latency Video Streaming and How it Interacts with Other Devices [Chris Allen @mrchrisallen]
What Is IoT(V) and Why You Should Care? Chris Allen, Cofounder and CEO of Red5 Pro will delve into live video trends and how their customers are using live video streaming with IoT devices like Drones, IP Cameras, Robots and more. Chris will discuss the role of video in the modern world and how it relates to non-mobile and PC devices. He will share implementation details and get you primed on what you need to know in order to develop your own IoT(V) experience.

(speech level: beginner to intermediate; duration: 20 minutes)

Networking Session 2 - DJ Mix 2 - Food & Drink

AI and Mobile (or Smarter Phones) [Stephen Vance @StephenRVance (https://twitter.com/StephenRVance)]
Artificial Intelligence. Machine Learning. And Mobile? Yup. Every major technology company and a host of not so major ones are doing things with AI. With cheap, plentiful computing power and a growing number of open source and commercial offerings, applications that used to be the stuff of science fiction are available today from your desktop, phone, and watch. Let’s talk about what’s happening and how it affects how we think about mobile development.(speech level: beginner to intermediate; duration: 20 minutes)

Lane Lines Finder and Traffic Sign Classification [Giorgio Natili @giorgionatili (https://twitter.com/giorgionatili)]
One of most exciting engineering challenges is building a reliable self-driving car. Today's vehicles offer a huge variety of sensors that can feed any algorithm with enough data to provide a pretty secure self-driving experience. Despite some differences, today's smartphones sensors are powerful enough to provide data to assist drivers along the road. During this presentation, after a review of the algorithm needed to find lane lines and classify traffic signs, we'll take a look at a demo app on Android (with Kotlin!) to detect lane lines and traffic signs.(speech level: intermediate; duration: 30 minutes)

Networking Session 3 - DJ Mix 3 - Food & Drink