Upcoming Meetings in Analytics, Big Data, Data Science, Machine Learning: June and Beyond


Here are 110 upcoming meetings and conferences, for June 2017 and beyond. You can also find the latest list on KDnuggets Meetings page Color code: Business-Oriented meetings in Blue, Research meetings (with calls for papers and program committee) in green Top countries: India, France, Australia: 3 For the second month in a row, London is the top city: Washington DC, New Orleans, Houston, Chicago, Atlanta: 3 June 2017 Jun 1-2, Deep Learning in Finance Summit. Mention "KDNuggets" and save 18% on tickets. Use code KDNUGGETS to save 15%. Use code TEC6245KD to save.

Razorfish analyses Big Data and creates profitable customer experiences


Razorfish Inc. is one of the largest interactive marketing agencies in the world; it is part of Publicis Groupe. The agency provides different types of services, web development, planning and media buying, advertising using all kinds of media, including mobile, and emerging media, social marketing activities, etc.; as well as studies and analyzes of the impact of communication programs. Razorfish has more than 2,000 employees worldwide, with offices in the United States in New York, Chicago, Seattle, San Francisco, Philadelphia, Portland, Los Angeles, Atlanta, and Austin. In 2005-2007, it operates internationally through acquisitions in London, Paris, Sydney, Hong Kong, Shanghai, Beijing, Berlin, Frankfurt, Singapore and a joint venture in Tokyo. It is therefore a global digital agency that offers a complete package of services.

West Big Data Hub at SDSC to Partner for Data Storage Network under New NSF Grant


The West Big Data Innovation Hub (WBDIH) at the San Diego Supercomputer Center (SDSC) at UC San Diego is one of four regional big data hubs partner sites awarded a $1.8 million grant from the National Science Foundation (NSF) for the initial development of a data storage network during the next two years. Other partners include Johns Hopkins University and University of Chicago, awarded a $300K EAGER for Open Storage Network (OSN) software. The team will combine its expertise, facilities, and research challenges to develop the OSN. The demonstration project will result in the design of a larger, low-cost, scalable national system capable of being replicated across many universities. The OSN will enable national collaborations and allow academic researchers across the nation to share their data more efficiently than ever before, according to the NSF announcement.

Opinion: The ugliest side of facial recognition technology


It's no mystery that big data presents a challenge to privacy. But perhaps more alarming is the emergence of technology that combines facial recognition and data analytics to create a powerful surveillance tool. It's a disturbing development that combines the most worrisome aspects of algorithmic and big data technology with the chilling and dangerous threats inherent in facial recognition. A Chicago tech company is advertising its "predictive video" to anticipate behavior "based on the emotional state and personality style of any person in a video." In Russia, the app FindFace gives users "the power to identify total strangers on the street," according to The Atlantic.

Social Networks May One Day Diagnose Disease - But at a Cost


The world is becoming one big clinical trial. Humanity is generating streams of data from different sources every second. And this information, continuously flowing from social media, mobile GPS and wifi locations, search history, drugstore rewards cards, wearable devices, and much more, can provide insights into a person's health and well-being. Dr. Sam Volchenboum (@SamVolchenboum) is the director of the Center for Research Informatics at the University of Chicago, a board-certified pediatric hematologist and oncologist, and the cofounder of Litmus Health, a data science platform for early-stage clinical trials. It's now entirely conceivable that Facebook or Google--two of the biggest data platforms and predictive engines of our behavior--could tell someone they might have cancer before they even suspect it.