don't panic labs reading list

DPL Reading List – December 1, 2017

by 

|

|  

in

Here are some of the articles we’ve been reading around this office this week. How Coca-Cola, Netflix, and Amazon Learn from Failure – “If you’re not prepared to fail, you’re not prepared to learn. And unless people and organizations manage to keep learning as fast as the world is changing, they’ll never keep growing and…

Read more…

Don't Panic Labs Reading List

DPL Reading List – November 24, 2017

by 

|

|  

in

Here are some of the articles we’ve been reading around this office this week. How Creating An Entrepreneurship Function Can Help Sustain Corporate Innovation – “Innovation can no longer be seen as a novelty sideshow. It is the work of every CEO and their top executive team to lead their companies in the creation of…

Read more…

Don't Panic Labs Reading List

DPL Reading List – November 17, 2017

by 

|

|  

in

Here are some of the articles we’ve been reading around this office this week. Why IBM Created Its Own Typeface After A Century Without One – “Last week, the company finally debuted its own typeface: IBM Plex, which is designed to be used almost everywhere letters appear in the IBM universe. Think of it as…

Read more…

Don't Panic Labs Reading List

DPL Reading List – November 10, 2017

by 

|

|  

in

Here are some of the articles we’ve been reading around this office this week. Artificial Intelligence Beats CAPTCHA – “A CAPTCHA is considered broken if an algorithm can successfully solve it at least 1 percent of the time. Now San Francisco Bay Area startup Vicarious reveals its AI software can solve reCAPTCHAs at an accuracy…

Read more…

Don't Panic Labs Reading List

DPL Reading List – November 3, 2017

by 

|

|  

in

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…

Read more…

Don't Panic Labs Reading List

DPL Reading List – October 27, 2017

by 

|

|  

in

Here are some of the articles we’ve been reading around this office this week. AI and the rise of the emotional economy – “As AI agents (whether software applications or physical robots) take on more of our non-emotional tasks, we will begin to value more the things that remain dominated by humans. The emergence of…

Read more…

Don't Panic Labs Reading List

DPL Reading List – October 20, 2017

by 

|

|  

in

Here are some of the articles we’ve been reading around this office this week. Why Product Thinking is the next big thing in UX Design – “Thinking in products makes sure designers build the right features for the right people and tackle real problems people have. It empowers to make the right decisions and is…

Read more…

don't panic labs reading list

DPL Reading List – October 13, 2017

by 

|

|  

in

Here are some of the articles we’ve been reading around this office this week. Data From 3.5 Million Employees Shows How Innovation Really Works – “Once everyone is thinking about ideas – and imagining that their cool concept might actually move the company – you get the while company effectively engaged in innovation. And in…

Read more…

Don't Panic Labs Reading List

DPL Reading List – October 6, 2017

by 

|

|  

in

Here are some of the articles we’ve been reading around this office this week. Research: For Better Brainstorming, Tell an Embarrassing Story – “Candor led to greater creativity. Thus, we propose a new rule for brainstorming sessions: Tell a self-deprecating story before you start. As uncomfortable as this may seem, especially among colleagues you would…

Read more…

Don't Panic Labs Reading List

DPL Reading List – September 29, 2017

by 

|

|  

in

Here are some of the articles we’ve been reading around this office this week. Why Innovation Flounders in Established Companies – “Corporate innovation initiatives have spent decades looking at other corporate structures as models for innovation when in fact we should have been looking at startups for innovation models — and adapting and adopting them for corporate…

Read more…