DPL Reading List – November 3, 2017
Here are some of the articles we’ve been reading around this office this week.
The 10 Statistical Techniques Data Scientists Need to Master – “With technologies like Machine Learning becoming ever-more common place, and emerging fields like Deep Learning gaining significant traction amongst researchers and engineers — and the companies that hire them — Data Scientists continue to ride the crest of an incredible wave of innovation and technological progress.”
The subtle art that differentiates good designers from great designers – “A design that solves our problems, a design that adds value overpowers a design which just looks pretty. It’s head versus heart that allows us to differentiate between perfect and defective. Bringing that subtle difference into your designs is what separates a great designer from a good designer. Like any other art, you don’t design something because it’s required. You design something because it fulfills the gap between needs and requirement.”
Artificial Intelligence is More than “Just a Technology” – “AI is more than a “tool” that improves, for instance, manufacturing processes. It is more than the next step in compliance. It is more than a system to make predictions that facilitate action. It is probably even more than a disruptor of “knowledge work”, more generally. The more I think about it, the more I am convinced that AI will affect the way we “trust”.”
Innovation: are you delaying the inevitable? – “Therefore, rather than wasting time and effort trying to argue against or cry foul over new ideas, organisations will be better placed if they answer these three questions about any new innovations on the horizon: In 10 years’ time, will our customers expect it as standard? If yes, then when are we going to do it? To do it by then, what do we need to do now?”
Beware of Attention Leaks (The Science of Gaining Focus) – “You need time for yourself to focus on your productive work. And when you’ve made time for yourself, block all distractions and interruptions that may break your flow.”
Want to know how Deep Learning works? Here’s a quick guide for everyone. – “The term “AI” is thrown around casually every day. You hear aspiring developers saying they want to learn AI. You also hear executives saying they want to implement AI in their services. But quite often, many of these people don’t understand what AI is.”
Why Every Organization Needs an Augmented Reality Strategy – “While the advances in artificial intelligence and robotics are impressive, we believe that combining the capabilities of machines with humans’ distinctive strengths will lead to far greater productivity and more value creation than either could generate alone. What’s needed to realize this opportunity is a powerful human interface that bridges the gap between the digital and physical worlds.”
