Wp_41962.pdf. Ingress : impressions et images du jeu de réalité augmentée de Google. Lancé la semaine dernière, Ingress, le fameux jeu gratuit de Niantic Labs (Google) exploitant la réalité augmentée semble connaître un franc succès.
Actuellement en bêta fermée (sur invitation) et disponible uniquement sur Android pour l'instant, le jeu compte néanmoins de nombreux joueurs, dont l'un de nos lecteurs. Voici les premiers détails qu'il nous livre après plusieurs jours de tests. Merci Vincent B. de Saint-Malo. Contrôlez les portails Pour rappel, Ingress met en scène tous les joueurs dans notre propre monde, via la réalité augmentée. La carte ci-dessus permet de consulter les portails présents dans le monde et d'avoir des informations sur le propriétaire de chaque portail, et notamment comment celui-ci est constitué, nous précise Vincent.
On peut ainsi hacker le portail « pour obtenir une clé qui permet de continuer a avoir des infos sur le portail même en étant à distance » remarque notre lecteur. Créer votre propre portail T'as l'air d'un illuminé... Google Launches Ingress, a Worldwide Mobile Alternate Reality Game - Liz Gannes - Mobile. What’s the wackiest thing you can imagine Google launching?
How about a game to fight for control of the minds of everyone on earth? Or maybe that’s not so wacky. Meet Ingress, a new free mobile app and alternate reality game made by Google launching today (on Android first, available as soon as it makes it through the Google Play release process). Ingress. Un article de Wikipédia, l'encyclopédie libre.
Ingress est un jeu en réalité alternée développé par Google[1], et qui fonctionne sur les appareils Android. Il sort le 15 novembre 2012[2] après une campagne de marketing viral commencée le 8 ainsi qu'au Comic-Con de San Diego le 12 juillet. Ingress. L’homme simplifié : le syndrome de la touche étoile. Practical Scientific Analysis of Big Data - PraSci-01-Intro.pdf. The Fourth Paradigm: Data-Intensive Scientific Discovery. To Succeed with Big Data, Start Small - Bill Franks. By Bill Franks | 7:00 AM October 3, 2012 While it isn’t hard to argue the value of analyzing big data, it is intimidating to figure out what to do first.
There are many unknowns when working with data that your organization has never used before — the streams of unstructured information from the web, for example. Which elements of the data hold value? What are the most important metrics the data can generate? What quality issues exist? As an organization gains experience with specific types of data, certain issues will fade, but there will always be another new data source with the same unknowns waiting in the wings.
The Traditional Way In most organizations, big data projects get their start when an executive becomes convinced that the company is missing out on opportunities in data. Next, the organization launches a major IT project. Once analytic professionals start using the data, they’ll find problems with the approach. A Better Approach Again, my best advice is to start small. Why Data Will Never Replace Thinking - Justin Fox. By Justin Fox | 12:00 PM October 4, 2012 Big data, it has been said, is making science obsolete.
No longer do we need theories of genetics or linguistics or sociology, Wired editor Chris Anderson wrote in a manifesto four years ago: “With enough data, the numbers speak for themselves.” Last year, at the Techonomy conference outside Tucson, I heard Vivek Ranadivé — founder and CEO of financial-data software provider TIBCO, subject of a Malcolm Gladwell article on how to win at girls’ basketball, and part owner of the Golden State Warriors — say pretty much the same thing: I believe that math is trumping science. Insight Center: Big Data - Sponsored by SAS. The Apple Maps Debate and the Real Future of Mapping - Dennis Crowley. By Dennis Crowley | 4:39 PM October 3, 2012 The news of the last couple weeks about the stark differences between Apple and Google’s maps have shed light on how hard it is to build a mobile map.
Showing a destination that’s a few hundred yards off becomes a critical flaw, and there are tens of millions of such place markers on these maps. While the narrative over Apple’s recent maps release has largely focused on the base utility of maps — that is, navigation — the reality is that building the map of the future is something that’s even more ambitious and difficult. The future of mobile maps is not just satellite imagery and a draggable interface (as amazing as those things are). It’s about access to real-time information about everything around you, from deals to popular places to where your friends are. Crowdsourcing, where a community of users populates an ecosystem with content, is the best way to create an expansive and accurate map.
Big Data Doesn't Work if You Ignore the Small Things that Matter - Robert Plant. Good Data Won't Guarantee Good Decisions. Global businesses have entered a new era of decision making.
The ability to gather, store, access, and analyze data has grown exponentially over the past decade, and companies now spend tens of millions of dollars to manage the information streaming in from suppliers and customers. For all the breathless promises about the return on investment in Big Data, however, companies face a challenge. Investments in analytics can be useless, even harmful, unless employees can incorporate that data into complex decision making. Our research offers a succinct warning to managers. At this very moment, there’s an odds-on chance that someone in your organization is making a poor decision on the basis of information that was enormously expensive to collect. Big Data Hype (and Reality) - Gregory Piatetsky-Shapiro.
The potential of “big data” has been receiving tremendous attention lately, and not just on HBR’s site.
With interest in the topic growing exponentially, it has been the focus of countless articles and perhaps too many meetings and conferences. But to the extent that big data will have big impact, it might not be in the classic territory addressed by analytics. Most applications of data mining and analysis have been, at their hearts, attempts to get better at prediction. Decision-makers want to understand the patterns in the past and the present in order to anticipate what is most likely to happen in the future. Hbr big data.