1. Articles in category: Big Data and Analytics

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    1. Baidu open sources its deep learning platform PaddlePaddle

      Taking a cue from some of its U.S. peers like Google, Chinese Internet search giant Baidu has decided to open source its deep learning platform. The company claims that the platform, code-named PaddlePaddle after PArallel Distributed Deep LEarning, will let developers focus on the high-level structure of their models without having to worry about the low-level details.

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    2. Strategic CxOs need analytics efforts to be difficult

      "Enterprising" is about eagerness to undertake or being prompt to attempt. It's about showing initiative and being resourceful. These are leadership traits, so to be enterprising is to lead. "Analytics" is how we use data to inform decision-making, in the context of achieving business objectives. These are management practices, so analytics is about management.

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    3. Ford, MIT use Bostonians’ cellphone location data for traffic planning

      By collecting the anonymous cellphone location data from nearly two million Bostonians, MIT and Ford were able to produce near-instant urban mobility patterns that typically cost millions of dollars and take years to build. The big data experiment holds the promise of more accurate and timely data about urban mobility patterns that can be used to quickly determine whether particular attempts to address local transportation needs are working.

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    4. Apple acquires health data startup Gliimpse

      Apple has quietly acquired health data startup Gliimpse, Fast Company reports. Founded in 2013, Gliimpse collates users’ personal health data from different platforms, turning information from labs, hospitals, and pharmacies into a single shareable report. This report can be used to provide doctors with a complete medical record, but Gliimpse also suggests that users donate it anonymously to a "national health graph," which would provide raw material to researchers seeking medical breakthroughs.

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    5. Satellite imagery can be used to predict regions of poverty

      A new study in the journal Science shows how a combination of satellite imagery and machine learning algorithms can be used to predict poverty in regions of the world where data is otherwise unavailable. This new method uses nighttime images as well as publicly available daytime imagery and survey data to teach a computer system to estimate just how rich or poor an area is.

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    6. Oracle targets B2B marketers with a new trove of audience data

      It's difficult enough for marketers to stay on top of the latest data about consumers, but reaching the right people in the B2B world presents a whole host of new challenges. On Friday, Oracle unveiled what it calls the largest marketplace of audience data targeted specifically at brands that sell to other businesses using programmatic and data-driven B2B marketing techniques.

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    7. With Amazon Kinesis Analytics, devs can analyze real-time data with SQL

      Amazon launched a new tool on Thursday aimed at helping developers build applications that offer insights from a firehose of data in real time. Kinesis Analytics will let users set up SQL queries that run on data that's constantly updating, expanding the reach of the popular data analysis language beyond traditional database applications.

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    8. Still afraid of data? Let’s start with the fundamentals

      Is your website data-driven or data-informed? If “data-less” is a more accurate description, let’s take a step back and look at what it takes for sites to adopt a data-driven mindset and strategy. Quay Quinn-Settel, director of marketing at CollegeHumor.com, believes that when an organization struggles to find value in data or fails to use it, it’s either because it hasn’t established clear goals and KPIs or its KPIs are disconnected from its business objectives.

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    9. This startup uses machine learning and satellite imagery to predict crop yields

       Johnson's startup, Descartes Labs, relies on 4 petabytes of satellite imaging data and a machine learning algorithm to figure out how healthy the corn crop is from space. It analyzes satellite data of every single farm in the US on a daily basis (provided there is no cloud cover) and updates its corn yield prediction every two days. 

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    10. Yahoo’s anti-abuse AI is better than humans at spotting online trolls

      Trolls are everywhere online — we even have a few of our own. The problem, until now, has been in correctly identifying what constituted abusive language. As it turns out, even humans are pretty terrible at identifying abuse. Yahoo’s newest algorithm is different. In 90 percent of test cases, it was able to correctly identify an abusive comment — a level of accuracy unmatched by humans, and other state-of-the-art deep learning approaches.

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    11. Google taps AI to help you bid for digital ads

      Real-time bidding is an aspect of digital marketing that can seem overly complex for the average bear, so it was only a matter of time before AI entered the picture. This week, Google brought machine learning into the process to help make it easier. Tapping some of the same artificial-intelligence technologies that have already appeared in Google Photos and AlphaGo, Smart Bidding is a new capability for conversion-based automated bidding across AdWords and DoubleClick Search to help companies determine their optimal bid for any given campaign or portfolio. 

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    12. Empowering Growth Hackers with Big Data

      Growth hacking is a process that drives rapid experimentation across marketing channels and product development to identify the most effective, efficient ways to grow a business. While it is a fairly new pursuit, growth hacking already has a lot of momentum. Many tech-savvy organizations are actively using the techniques of growth hacking to capitalize on cross-channel data and drive business growth.

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    13. IBM grows in cloud and data analytics but overall revenue slides

      IBM’s revenue continued to decline in the second quarter but growth in some of its strategic initiatives like cloud computing and data analytics suggest that the company may be on track in its transition plans. The Armonk, New York, company said Monday that revenue from its new “strategic imperatives” like cloud, analytics and security increased by 12 percent year-on-year to US$8.3 billion.

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    14. China loads up on chip technology with new ARM license

      China loads up on chip technology with new ARM license

      China already has the world's fastest computer with its homegrown chip, but the country hasn't stopped loading up on technology to make more of its own chips.

      ARM announced Tuesday it has licensed the ARMv8-A architecture to Huaxintong Semiconductor Technology, a joint venture between China's Guizhou province and a subsidiary of Qualcomm.

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    15. Agile DevOps: A Path to the Common Ground of Productivity

      Agility has become the buzz word around the enterprise. whether it is agility around storage, networking, cloud operations, or most any other IT service is not really the point here, it all comes down to agility as an ideology. Take for example the burgeoning data analytics market, which is driven by big data and business intelligence, where implementing agile ideologies could be the secret to success.

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    16. The Importance Of Business Participation In A Data Lake Program

      Organizations endeavoring to architect and implement a data lake program are moving in the right direction, as they know data lakes are generally less expensive than traditional platforms and allow a deeper level of analytics for driving new insights. No matter how well intended, though, companies often set themselves up for failure by not including their number one internal customer—the business.

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