Category: Uncategorized

Last month Buzzfeed released a guide describing its editorial standards and ethics. It details everything from sourcing practices and how corrections and errors are handled, to how Buzzfeed views ethical questions, and the ways in which the newsroom there is insulated from business issues. But there’s one conspicuous absence: Where are Buzzfeed’s standards or policies … Continue reading Tow Center to Workshop Algorithmic Transparency in the Media

In a recent article by Dave Holtz, a Data Scientist in Airbnb, Data Science Jobs are classified into four types. A Data Scientist is a Data Analyst Who Lives in San Francisco Please Wrangle Our Data! We Are Data. Data Is Us Reasonably Sized Non-Data Companies Who Are Data-Driven Here are eight skills he proposed as … Continue reading Eight Skills You Need to Be a Data Scientist

Two groups of scientists, working independently, have created artificial intelligence software capable of recognizing and describing the content of photographs and videos with far greater accuracy than ever before. The new software, described on Monday by researchers at Google and at Stanford University, teaches itself to identify entire scenes: a group of young men playing Frisbee, … Continue reading Researchers Announce Advance in Image-Recognition Software

Congratulate our Data Science fellow, Brian McFee on winning ISMIR 2014 Best oral presentation and Best poster presentation awards! Best oral presentation: “Analyzing Song Structure with Spectral Clustering,” Brian McFee and Dan Ellis. Best poster presentation: “MIR_EVAL: A Transparent Implementation of Common MIR Metrics,” Colin Raffel, Brian McFee, Eric J. Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, Daniel P. W. … Continue reading Congratulate Brian McFee on Winning ISMIR 2014 Awards

In the battle against Ebola, mobile phones could be invaluable—not just in themselves, but also because of the data they generate. CDRs can tell epidemiologists where people have been, when—and perhaps also where they are headed, based on their past movements. Analysing the records has proved helpful in tracking the spread of diseases on previous occasions. Continue reading Ebola and Big Data

Watson APIs are now available for public use, albeit only through IBM’sBluemix cloud services platform. IBM’s Watson Developer Cloud now offers eight services for building what IBM describes as cognitive apps, with more services promised later on. The eight services currently available include: Language Identification, which can determine what language a given text is written in (from a predetermined set … Continue reading APIs for Watson are Available through IBM’s Bluemix Cloud Service

These are the top ten most-funded startups in the big data space: Cloudera           $1,040 million     Hadoop-based software, services and training Palantir              950                     Analytics applications Domo                 250                    Business intelligence SaaS platform Hortonworks    248                    Hadoop-based … Continue reading Top Ten Most Funded Big Data Startups October 2014

In January 2012, AIG launched the “Science Team.” By early 2014, 130 people from diverse scientific and managerial backgrounds were devoting themselves to realizing the team’s mission: To be a catalyst for evidence-based decision making across AIG. The article gives a good summary of key factors in the success of the Science Team’s efforts to date. Continue reading How AIG Moved Toward Evidence-Based Decision Making

To sort out the exponential advance of deep-learning algorithms and what it means for managerial science, McKinsey’s Rik Kirkland conducted a series of interviews in January at the World Economic Forum’s annual meeting in Davos. Among those interviewed were two leading business academics—Erik Brynjolfsson and Andrew McAfee, coauthors of The Second Machine Age: Work, Progress, and … Continue reading Artificial Intelligence in Managerial Science