DMF - Social PR, the right mix for making brands conversational

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Voice Agency

Social PR - How Social Media and PR can work together to achieve the best online marketing results.

Social Media Business Technology

Edelman’s New Consumer Study, brandshare™

DMF - Social PR, the right mix for making brands conversational

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Google Trends and other IT fever charts rate Data Science among the most rapidly emerging and promising fields that expand around computer science. Although Data Science draws on content from established fields like artificial intelligence, statistics, databases, visualization and many more, industry is demanding for trained data scientists that no one seems able to deliver. This is due to the pace at which the field has expanded and the corresponding lack of curricula; the unique skill set, which is inherently multi-disciplinary; and the translation work (from the US web economy to other ecosystems) necessary to realize the recognized world-wide potential of applying analytics to all sorts of data. In this contribution we draw from our experiences in establishing an inter-disciplinary Data Science lab in order to highlight the challenges and potential remedies for Data Science in Europe. We discuss our role as academia in the light of the potential societal/economic impact as well as the challenges in organizational leadership tied to such inter-disciplinary work.

Applied Data Science in Europe

Thilo Stadelmann

Examples, techniques, and lessons learned building data products over the last 4 years at LinkedIn. Pete Skomoroch is a Principal Data Scientist at LinkedIn where he leads a team focused on building data products leveraging LinkedIn's powerful identity and reputation data. The talk describes some techniques and best practices applied to develop products like LinkedIn Skills & Endorsements. This talk was presented at the SF Data Science Meetup on September 19th, 2013

SF Data Science: Developing Data Products

Peter Skomoroch

LinkedIn Data Products

Vitaly Gordon

Building Competitive Moats With Data

Peter Skomoroch

My Top Five DevOps Learnings

Predix

The Other 99% of a Data Science Project

Eugene Mandel

Presentation given by Dr. Diego Kuonen, CStat PStat CSci, on November 20, 2013, at the "IBM Developer Days 2013" in Zurich, Switzerland. ABSTRACT There is no question that big data has hit the business, government and scientific sectors. The demand for skills in data science is unprecedented in sectors where value, competitiveness and efficiency are driven by data. However, there is plenty of misleading hype around the terms big data and data science. This presentation gives a professional statistician's view on these terms and illustrates the connection between data science and statistics. The presentation is also available at http://www.statoo.com/BigDataDataScience/.

A Statistician's View on Big Data and Data Science (Version 1)

Prof. Dr. Diego Kuonen

Big Data [sorry] & Data Science: What Does a Data Scientist Do?

Data Science London

Booz Allen Field Guide to Data Science

Booz Allen Hamilton

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