Corporate Surveillance in Everyday Life. Google and Facebook, followed by other large platforms such as Apple, Microsoft, Amazon and Alibaba have unprecedented access to data about the lives of billions of people.
Although they have different business models and therefore play different roles in the personal data industry, they have the power to widely dictate the basic parameters of the overall digital markets. The large platforms mostly restrict how other firms can directly obtain their data; in this way, they force them to utilize the platform’s data on users within their own ecosystems and gather additional data from beyond the platforms’ reach. Although the large multinationals in different sectors that have frequent interactions with hundreds of millions of consumers are in a somewhat similar position, they not only acquire consumer data collected by others, but often also provide data.
Retailers and other companies that sell products and services to consumers mostly also sell data about their customers’ purchases. Our World in Data. List of the world's top female futurists (Update #3) [UPDATE: January 2018: We have added 9 additional futurists to the list for a total of 167.
Thank you for your help building out the list!] I find I am frequently asked where all the female futurists are. The discussion on why the profession of futurist appears to be so male-dominated has grown in recent years. I know many outstanding female futurists, so whenever I am asked I point to a range of exceptional futurists to show that there are indeed many women in the field. New horizons. 8 Machine Learning Algorithms explained in Human language – Datakeen. Ce qu’on appelle Machine Learning ou Apprentissage automatique n’est autre que la rencontre des statistiques avec la puissance de calcul disponible aujourd’hui (mémoire, processeurs, cartes graphiques).
Ce domaine a pris toute son importance en raison de la révolution digitale des entreprises qui a conduit à la production de données massives de différentes formes et types, à des rythmes sans cesse en augmentation : le Big Data. Sur un plan purement mathématique la plupart des algorithmes utilisés ont déjà plusieurs dizaines d’années. Dans cet article je vous expliquerai le fonctionnement de 8 algorithmes d’apprentissage automatique et ce dans les termes les plus simples possibles. I. Some global concepts before describing the algorithms 1. Classification Attribuer une classe / catégorie à chacune des observations d’un jeu de données est une classification. Prédiction Une prédiction se fait sur une nouvelle observation. Rohrbeck_2010_Future-Orientation_12266. Technology Timeline 2017. Technology Timeline 2017. Futures toolkit edition 1.
8 Machine Learning Algorithms explained in Human language – Datakeen. “Hope is a verb with its shirtsleeves rolled up.” (David Orr) – Resources from the APF Tools for Hope ProDev day, London. Wendy Schultz on visioning – Tools for hope: resources and inspiration. 10 Year Futures (vs. What's Happening Now) Where companies with a long-term view outperform their peers. Where companies with a long-term view outperform their peers Our new Corporate Horizon Index provides systematic evidence that a long-term approach can lead to superior performance for revenue and earnings, investment, market capitalization, and job creation.
Corporate short-termism has been the subject of ongoing debate among leaders in business, government, and academia for more than 30 years, but hard evidence that short-termism genuinely detracts from company performance and economic growth has remained scarce. To fill this gap and better understand capitalism for the long term, we have created a systematic measurement of long- and short-termism at the company level. Our findings show that companies we classify as “long term” outperform their shorter-term peers on a range of key economic and financial metrics (exhibit).
We’ve drawn several findings from this index: Download the full report on which this article is based, Measuring the economic impact of short-termism (PDF–258KB). Horizon Scanning Board - The Red (Team) Analysis Society. Week 28: Experts in authoritarianism advise to keep a list of things subtly changing around you, so… Silicon Valley’s Bonfire of the Vainglorious - Los Angeles Review of Books.
From all the deceits of the world, the flesh, and the devil — Good Lord, deliver us. — Book of Common Prayer, 1928 “NO MORE SEX!”
Was the unexpected news that London’s Daily Herald brought its readers in February 1929. Those intrigued enough to continue reading found yet more startling information on “WHAT HUMANS MAY BE LIKE ANOTHER DAY” — such as “MEN WITH EARS UNDER LUNGS” — by the same scientifically pedigreed author. The source: John Desmond Bernal, a young Irishman whose daring new book, The World, the Flesh, and the Devil, offered a “PEEP INTO THE FUTURE.” A crystallographer and molecular biologist, Bernal was familiar to the denizens of Cambridge and Bloomsbury for his piercing eyes, rolling gait, and Marxist beliefs.
First among these enemies was The World, by which he meant the limits of terrestrial resources and the sheer unpredictability of our planet’s environment. One problem remained, however. You're not going to believe what I'm about to tell you. Comics Blog Books Shop Comics: Random Most Popular All Cats Grammar Food Animals Tech This is a comic about the backfire effect.
Inspiration This comic was inspired by this three-part series on the backfire effect from the You Are Not So Smart Podcast. USC Creativity and Brain Institute. Electric vehicles.