Written by Alexander Raginsky Call for Papers for the PhD Symposium at the 25th International World Wide Web Conference (WWW2016) The PhD Symposium is held in conjunction with the 25th International World Wide Web Conference (WWW2016), April 11-15, 2016, Montreal, Canada.
Written by Alexander Raginsky Who here remembers taking computer programming in school? Whether you learned programming by punching holes in a never ending series of cards, or by writing simple DOS or other computer language commands, the fact remained that computers needed an incredibly precise set of instructions to accomplish a task. The more complicated the task, the more
Written by Alexander Raginsky The NIH Big Data to Knowledge initiative has partnered with Wellcome Trust, with additional support from the Howard Hughes Medical Institute, to launch a global science competition for new products or services to advance “open science”, a movement to make scientific research data broadly accessible to the public. More information about the Open Science Prize
Written by Alexander Raginsky On August 1, 2007 as people were driving home from work on the I-35W Mississippi River Bridge near Minneapolis, it all of a sudden collapsed. Thirteen people died and 145 people were injured. The bridge was constructed in 1967 and was expected to carry 66.000 vehicles per day. However, in 2004 an estimated 141.000 vehicles
Written by Alexander Raginsky It’s all well and good to talk about customer experience and managing inventory flow, but what has big data done for me lately? I’ve rounded up seven of the most interesting — and unique — applications for big data I’ve seen recently and how they may be impacting your life. Big Data Billboards Outdoor marketing
Written by Alexander Raginsky Your relationship with your customer has become increasingly personal. Your business is starving for customer analytics that help you better understand each individual customer — not just a broad customer segment. That focus on individual customers means we’re entering a world of extreme segmentation. This new focus is a key strategy for companies that realize
Written by Alexander Raginsky Motivation On June 17, 2015, I celebrated my two year #Twitterversary @Twitter. Looking back, the Data Science (short for DS) landscape at Twitter has shifted quite a bit: Machine Learning has played an increasingly prominent role across many core Twitter products that were previously not ML driven (e.g. “While you are away”) Tool wise, we’ve
Written by Alexander Raginsky Introduction There has been a renewed interest in machine learning in last few years. This revival seems to be driven by strong fundamentals – loads of data being emitted by sensors across the globe, with cheap storage and lowest ever computational costs! However, not every one around understands what machine learning is. Here are a
Written by Alexander Raginsky From time to time, you still come across someone with the opinion that Big Data is nothing more than a fad, which will be forgotten about soon enough. You might not expect to hear this from me, but they’re actually right. Well – half right, at least! As I’ve written before, I’m not actually a
Written by Alexander Raginsky Big Data services offered in the cloud is nothing new. In the past years we have seen many Big Data vendors that have created Big Data solutions that can be accessed via the web to crunch and analyse your data. Recently however, we have seen the rise of a new type of offering: Big Data-as-a-Service
