Why Banks and Telecoms Need to Embrace Innovative Identity Technologies

Written by Amanda Connon-Unda

Emergent trends in biometric data, persistent identity, blockchain technology, and security, have banks and telecom companies on their toes when it comes to effectively using identity validation while being mindful of customers’ needs. In a panel discussion at Mobile World Congress in Barcelona last week, leaders and advocates for new identity technologies discussed the implications for the financial services and telecom industries. The Future of...

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MWC: Connected Living

Written by Kyle Gordon

This week Mark Kingston, Rangle’s Vice President of Operations, set up shop in the centre of mobile innovation: Mobile World Congress (MWC) in Barcelona. Truly the launching ground for the coolest high-profile gadgets, MWC also gathers industry heavyweights eager to talk about the future of mobile. Smart cities was the prevailing theme at this year's conference. Mark shares some of the key takeaways from...

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Why Rangle Builds Native Mobile Apps Using JavaScript

Written by Kyle Gordon

With Ranglers setting up shop at Mobile World Congress this week in Barcelona, it seems like a fitting opportunity to weigh in on a few questions we commonly hear: should brands develop mobile apps in Native code or a JavaScript framework and what implications does this have on business? When clients come to us looking for mobile app development, it’s our responsibility to educate...

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Writing Analytics User Stories

Written by Ken Ono

“Your job isn’t to build more software faster: it’s to maximize the outcome and impact you get from what you choose to build.” - Jeff Patton, User Story Mapping A key to successful projects is incorporating learnings to drive decisions. To obtain learnings from live users, teams must deliver features that collect and analyze behaviour. This post discusses writing user stories that involve...

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Map/Reducing the Pain of Dealing With Arrays

Written by Sean May

This is a rather meaty post that will hopefully shed some light on concepts that have been misunderstood and under-utilized, in the general community. The goal of this post is to explore the concepts behind map and reduce, and to illustrate how they can simplify algorithms for dealing with arrays of data. TL;DR If you are a Map/Reduce pro in JavaScript, you know...

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