Data Today: Next-gen data wrangling tools, thick data + more

1. Will data transform Ford? Ford CEO Mark Fields' keynote at CES 2015 shows Ford moving away from being just an automobile and truck manufacturer and towards being a transportation analytics outfit: planning an "all-new model of transportation and mobility within the next 10 years." 2. Lessons from next-gen data wrangling tools One of the areas where "cognitive augmentation" is playing out is in data preparation and curation. Ben Lorica draws inspiration from recent advances in data preparation. 3. Machine learning methods for computer security This paper, compiled from the Perspectives Workshop, "Machine Learning Methods for Computer Security," covers topics such as adversarial machine learning, attacking pattern recognition systems, data privacy and machine learning, machine learning in forensics, and deceiving authorship detection. 4. Thick data Predicting human behavior with algorithms is a challenge, to say the least. (Humans are so unreliable.) But, Mary Shacklett says, a thick data analytics approach—using non-statistical human behavior analysis—could close the gaps in big data analytics. 5. Bitcoin Summit Early Price ends Friday Innovators in bitcoin and the blockchain will give you a glimpse of the future at the O'Reilly Radar Summit: Bitcoin & the Blockchain (Jan 27 in San Francisco): Reid Hoffman, Vitalik Buterin, Andreas Antonopoulos, and more. You'll get a real understanding of how bitcoin can impact your business, and discover new business models and opportunities. Register by Friday, January 16 for the Early Price—data newsletter readers can save an additional 30% with code DATA30. Learn more → P.S. - Have some questions about bitcoin? Join our Reddit AMA with Andreas Antonopoulous, author of Mastering Bitcoin, on Thursday Jan 15. Sponsored Content Automated data curation Understanding relationships and curating a massive variety of siloed data manually can take extraordinary time and effort. Learn how to drastically reduce the heavy-lifting when unifying and enriching data from disparate sources with Tamr, Inc., using human-guided machine learning. 6. This is what famous paintings look like as raw data Usually we’re trying to make raw data a visualization masterpiece. Here’s what happens when you go the other way… 7. The Internet of Things has 4 big data problems Alistair Croll says the IoT and big data are two sides of the same coin; building one without considering the other is a recipe for doom. (If you work in IoT, you might want to check out the Solid Conference.) 8. Algorithmic investing trumps hedge fund managers According to the Societe Generale unit Newedge, computer algorithm-led investing beat out "human rivals"—gaining an average of 19% in 2014. Registration is open for Strata + Hadoop World London Strata + Hadoop World is coming to London, for what may be the three most valuable days of your career—5-7 May, 2015. Hear from the leading minds in data, representing both start-ups and Fortune 500 companies: Google, Cloudera, eBay, Siemens, Microsoft, CERN, and more. See who's speaking → 9. The data lake model is a powerhouse for invention In this O'Reilly Radar Podcast, Edd Dumbill discusses the data lake dream, and Rajiv Maheswaran explores the science of moving dots. 10. Freebie of the week In the new O’Reilly ebook, Data Driven, DJ Patil and Hilary Mason outline what you need to be a truly data-driven organization, with examples of how Google, LinkedIn, and Facebook use their data. @davepell: Look, @dpatil is a friggin genius and his book on Creating a Data Culture is free.  @BecomingDataSci: @dpatil @hmason This was a great, concise book w/excellent "food for thought" about data-driven workplaces. I'm sending it to mgmt at work! @RamShrinivasan: @hmason @dpatil just finished reading Data Driven. Thank You, Thank You, Thank You. Get the free ebook →

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