Future - Would you let an algorithm manage your relationships? “I had this everyday feeling – stress about not properly articulating my emotions in my emails to people,” artist and writer Joanne McNeil tells me over the phone from Boston. “I was feeling as though I had to over-do it with enthusiasm or I would sound too sarcastic or bleak or disinterested.” It’s a common anxiety of modern day life: in an age where we increasingly communicate via email, text messages, and social media posts instead of face-to-face, it can be hard to judge whether we are getting the tone right. Are we being too formal? Are we being too familiar?
Predictive Analytics Software For Customer Attrition Customers buy from companies because of their products, but often leave them because of their service. Mattersight® Predictive Analytics gives clients the peace of mind that service gaps, unhappy customers, and even upsell opportunities are automatically identified across every single conversation. Our solution combines existing call center data with new interaction insights to assign a predictive score to each call. By capturing, analyzing, and decoding every second of the customer-agent conversation, Mattersight can automatically predict CSAT, NPS, customer effort, and churn. By applying Mattersight Predictive Analytics to the call center, our customers have been able to:
Shakespeare Uncovered Shakespeare Uncovered combines history, biography, iconic performances, new analysis, and the personal passions of its celebrated hosts to tell the stories behind the stories of Shakespeare’s greatest plays. The Series 2 resources (A Midsummer Night’s Dream, King Lear, Romeo and Juliet, and Othello) were created in partnership with the Folger Shakespeare Library. The resources for the first series (Macbeth, the comedies Twelfth Night and As You Like It, Richard II, Henry IV and Henry V, Hamlet and The Tempest ) were created in collaboration with an advisory board comprised of high school educators and Shakespearean scholars. For more Shakespeare resources, visit The Hollow Crown: Shakespeare's History Plays.
Google Knows You Better Than You Know Yourself Every weekday at 3:40 p.m., the message popped up on my phone: 22 mins to Work. Google Now was doing its job. It was reminding me where to go and how to get there. Google Now, in case you don’t know, is the flagship software embedded in the Android smartphone operating system (it’s also available on iOS); its aim is to seamlessly turn your device into a personal assistant that provides “just the right information at just the right time.” It achieves this by using Google’s devouring awareness of your calendar, inbox, and movements. Open Data Kit » Use To use ODK, you need to do three things -- design a form, setup a server, and connect the device to that server. Once those three things are done, you'll be ready to start data collection. You'll need three tools: Build or XLSForm -- to design your survey form.Collect -- running on an Android device to download and fill-in the survey.Aggregate -- for hosting the survey form and gathering the survey results. Alternatively, Briefcase can be used to gather the survey results (but you'll need to manually place the survey form onto the Android device). If any of this sounds complicated, we promise it's not!
At-Risk At-Risk is an interactive, game-based simulation that aims to reduce the stigma associated with mental illness in order to reduce the number of students with undetected or untreated conditions. Tailored for use among university faculty and staff, At-Risk addresses the fear and stigma of mental illness that may prevent university faculty and staff from approaching and assisting students exhibiting symptoms of mental illness, such as depression, anxiety, and thoughts of suicide. In the 45-minute simulation, players assume the role of a faculty member who is concerned about five of his students. The player analyzes profiles of these virtual students to identify the three who are at-risk and then engages in simulated conversations with each of them to determine whether and how to refer them to the counseling center. The virtual students are fully animated and possess their own emotional intelligence and memory. Price: Free
Reach in and touch objects in videos with “Interactive Dynamic Video” We learn a lot about objects by manipulating them: poking, pushing, prodding, and then seeing how they react. We obviously can’t do that with videos — just try touching that cat video on your phone and see what happens. But is it crazy to think that we could take that video and simulate how the cat moves, without ever interacting with the real one? Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have recently done just that, developing an imaging technique called Interactive Dynamic Video (IDV) that lets you reach in and “touch” objects in videos.
The Guide to Learning Python for Data Science Guest blog post by Martijn Theuwissen, co-founder at DataCamp.Other Python resources can be found here. Python is widely used for data analysis and you might have considered learning it yourself (if not, or if you’re still looking for that bit of extra motivation to get started, see why you should be learning Python below). Of course, learning on your own can be a challenge and some guidance is always helpful. Go-Lab Portal The Go-Lab Portal represents the technical framework of the Go-Lab Project. It offers science teachers and their students the opportunity to conduct personalized scientific experiments with help of numerous innovative teaching tools and resources. The Go-Lab Portal enables school teachers to find appropriate online labs and supportive inquiry learning apps and to assemble the selected tools in customizable Inquiry Learning Spaces (ILSs) structured according to the phases of the Inquiry Learning Cycle. Furthermore, there is the possibility to adapt already available ILSs according to the teacher’s own lesson plan, and to share the ILSs with the students to be used in the classroom. Each of these online laboratories and Inquiry Learning Spaces relates to one or several Big Ideas of Science.
The Rise of Social Bots By Emilio Ferrara, Onur Varol, Clayton Davis, Filippo Menczer, Alessandro Flammini Communications of the ACM, Vol. 59 No. 7, Pages 96-104 10.1145/2818717 Comments (1) Bots (short for software robots) have been around since the early days of computers. One compelling example of bots is chatbots, algorithms designed to hold a conversation with a human, as envisioned by Alan Turing in the 1950s.33 The dream of designing a computer algorithm that passes the Turing test has driven artificial intelligence research for decades, as witnessed by initiatives like the Loebner Prize, awarding progress in natural language processing.a Many things have changed since the early days of AI, when bots like Joseph Weizenbaum's ELIZA,39 mimicking a Rogerian psychotherapist, were developed as demonstrations or for delight.
React and Vega: An Alternative Visualization Example The End Result The code used here will create two different react components, a line chart and a radial heat map using Vega, and use Redux to enable linked highlighting between the two charts when interacting with a single one, as demonstrated below: Why Vega? hands-on experiments Ciênsação has been developed with the support of UNESCO Brasil to promote a culture of short hands-on experiments and skill-fostering science education. We understand that the pressure of a dense curriculum and the urge to prepare for the next exam leave little time for elaborated experiments. Experienced teachers have therefore compiled this collection of short research activities – taking usually less than 10 minutes to complete – that you can easily integrate into your day-to-day teaching.
BlackRock: The monolith and the markets EAST WENATCHEE, in Washington state, is known for its apples, not for its financial services. But in a data centre nestled between the orchards and hills, a cluster of 6,000 computers oversees the assets of over 170 pension funds, banks, endowments, insurance companies and others. Whirring around the clock, the machines look at what interest-rate changes, or bank collapses, or natural disasters could mean for trillions of dollars of assets. Around the world, 17,000 traders have the computers’ assessments of these risks at their fingertips when they buy or sell assets. The data centre forms the heart of BlackRock, an asset-management company that is the world’s biggest investor. Founded in 1988, it has $4.1 trillion in assets under management, making it bigger than any bank, insurance company, government fund or rival asset-management firm.