Looking into the future

Inspiring article on the use of artificial intelligence to prevent blindness caused by diabetes. To remind us how science can change the world, in academia or in industry.

https://www.google.com.br/about/stories/seeingpotential/

[In Portuguese]

What’s the difference between data science, machine learning, and artificial intelligence?

http://varianceexplained.org/r/ds-ml-ai/

Ways people trying to do good accidentally make things worse, and how to avoid them

https://80000hours.org/articles/accidental-harm/

Make Data a Cornerstone of Your Team

https://hbr.org/2018/10/make-data-a-cornerstone-of-your-team

Want to be a true strategic partner? The key is insights

https://adage.com/article/quantcast/tell-me-something/314827/

“Smart executives know we now need to leverage machine learning to inspire human learning.”

The secret to great design

https://www.oreilly.com/ideas/the-secret-to-great-design

Design for non-designers: 9 self-assessment questions to make your products more indispensable, profitable, and usable.

Why curiosity matters

New research shows that curiosity is vital to an organization’s performance—as are the particular ways in which people are curious and the experiences they are exposed to. This package examines how leaders can nurture curiosity throughout their organizations and ensure that it translates to success.

https://hbr.org/2018/09/curiosity

In the Future, We’ll Know Everything

https://singularityhub.com/2018/08/02/in-the-future-well-know-everything-thanks-to-this-tech

“we are heading towards a future where you can know anything you want, any time you want, anywhere you want. In this future, it’s not “what you know,” but rather “the quality of the questions you ask” that will be most important.”

Ten Agile Axioms That Make Managers Anxious

https://www.forbes.com/sites/stevedenning/2018/06/17/ten-agile-axioms-that-make-managers-anxious/#1953dd114619

Bias detectives: the researchers striving to make algorithms fair

how to fight your own biases when writing ML algorithms?

https://www.nature.com/articles/d41586-018-05469-3

Para cima