Sametime - unified communications and collaboration software Collaborate instantly with social communications using integrated voice, data, and video IBM® Sametime® products integrate real-time social communications into your business environment, providing a unified user experience through instant messaging, online meetings, voice, video and data. With just one click, you are instantly connected to the person behind the information, helping to meet the ongoing demands of everyday business. IBM Sametime supports social communications with features that include: Enterprise instant messaging, online presence indicators and community collaboration for instant connection to the people behind the information in your social business environment.Online meetings that offer high-definition audio and video and document, application and screen sharing.New! More Less Enterprise instant messaging, online presence indicators and community collaboration Online meetings New! Voice and video integration A simple user experience and flexible platform View demo Read brief
Kinja | Comment puis-je créer un blog? By signing up for a Kinja account you already have a blog reserved for you. When you sign up for a Kinja account, you're required to select a screen name, which doubles as your blog URL. For instance, if you select myblog as your screen name, your blog would live at myblog.kinja.com. You can change your display name, screen name, and URL by clicking the 'Hamburger menu' at the top left of any Kinja page, selecting 'Account Settings', and updating the screen name field.
Networks, Crowds, and Markets: A Book by David Easley and Jon Kleinberg In recent years there has been a growing public fascination with the complex "connectedness" of modern society. This connectedness is found in many incarnations: in the rapid growth of the Internet and the Web, in the ease with which global communication now takes place, and in the ability of news and information as well as epidemics and financial crises to spread around the world with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which each of our decisions can have subtle consequences for the outcomes of everyone else. Networks, Crowds, and Markets combines different scientific perspectives in its approach to understanding networks and behavior. The book is based on an inter-disciplinary course that we teach at Cornell. You can download a complete pre-publication draft of Networks, Crowds, and Markets here.
Why you’ll share this story: The new science of memes More and more of the things that set the internet on fire are of that species of charmingly moronic pairing of text and image that allows even the post-literate to feel like they have partaken of a shared cultural moment. And now, scientists are beginning to understand how the curiously addictive visual tropes known as “memes” are born, why they die, and whether or not it’s possible to predict which will “go viral” and be harvested by the night-soil merchants up at meme warehouses like Cheezburger. Treating memes like genes tells us which are likely to spread The internet, of course, was barely in its infancy when Richard Dawkins, a British evolutionary biologist, coined the term “meme” back in 1976. But Dawkins was deliberate in his comparison of memes to genes. New research from Michele Coscia of Harvard University goes so far as to suggest a decision tree—which is sort of like a flow chart—that can show at any given point in an internet meme’s life how likely it is to go viral.
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Portfolio - The Awesome Version Kanbanery What happens when the world turns into one giant brain These days, many of us in consumer and enterprise tech companies are working on predictive systems that provide modest but valuable augmentation of human intelligence and business processes. I think this scale of ambition is a good fit for the current state of the art in machine learning and probabilistic inference. Think personal assistants like Siri or Google Now, predictive analytics in the enterprise for churn detection and ad campaign targeting, and personalized news apps like Prismatic. But I think that the long term story is much more exciting, and much further from our experience with synthetic intelligence to date. The world as brain To make this idea of a global intelligence more concrete, consider the startup Premise. Now consider what other problems such systems could solve in the coming decades. Key problems in the way To get there though we’ll have to confront a number of hurdles: We need to gather the data. We need the algorithms. Scaling isn’t enough