Thank you to everyone for coming out to last night’s event! We had an amazing turn out with lots of new and returning members. We’d also like to give a big thanks to Pivotal for hosting last night in their lovely Roppongi Hills office.
Just to recap, we had two great talks last night:
1) AI for designers by James Bowskill
AI is the hot topic at the moment, but what does it mean for designers? How is AI going to affect the way we work, and what new skills are we going to need to design it? James will share his findings and also demo thegrid.io, the long awaited tool that promises “no more reliance on web designers”.
2) Agile UX and branding by Alexander Auld
Alexander will talk about large project he worked on recently which used agile UX methods and involved branding.
We also had a healthy set of show-and-tell links this week, so take a look below:
Up Arrows shared a bot they have developed to pick up key words during user testing using a computer’s built-in mic.
Designer Hangout is a place where UX designers can connect using Slack. Let’s up our numbers in the Japan channel!
Machine Learning is fun! a Medium article that really breaks the concept down without too much of the scary math.
Articulating Design Decisions : a book that is coming out in Japanese (and already in English) that will help designers explain their process and reasoning behind design choices.
All Talk & No Buttons an “A List Apart” article on conversational UI.
Design Crew is a messenger bot that helps find designers for simple tasks.
The Friction Fiction: an article about the necessity for some friction/discomfort in a user’s experience.
Google is hosting an (invite only) event called Span this October in Tokyo. It sounds like there will be a lot of great speakers in attendance, so you should go if you can snag an invite.
Coursera is a service where you can take courses/listen to lectures from top university’s online. Tom recommends Stanford’s Machine Learning course.
Hyper Island has put together a nifty toolbox of resources for designers and teams on their website.
Last but not least, we have a very visually engaging explanation of Machine Learning on r2d3.us.
Thanks again everyone! We look forward to seeing you at next month’s meeting.