Big Data News – 27 Jul 2016

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SparkCognition, working with Carnegie Mellon and IBM's Watson, aims to provide cyber-security researchers with better threat data using predictive models powered by machine learning.

Top Stories
Fantasy betting is growing faster than anyone could ever have predicted. In 2008, one in six Americans admitted to betting on sports. That number has increased significantly in the years since. According to recent statistics, North Americans are spending over $27 billion a year on fantasy sports wagers.

Data visualization platform provider Tableau is updating its flagship product with new features that give oversight and data governance control back to IT organizations. It also makes a host of new advanced analytics capabilities accessible to more users.

In anticipation of his upcoming conference presentation, Predicting Behavior in Chemical Industry Supply Chains, at Predictive Analytics World New York, October 23-27, 2016, we asked Gary Neights, Senior Director at Elemica, a few questions about his work in predictive analytics. Q: What are the challenges in translating the lessons of predictive analytics from other verticals… The post Wise Practitioner – Predictive Analytics Interview Series: Gary Neights at Elemica appeared first on Predictive Analytics Times.

IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real time streams efficiently.

Karbonn Mobiles has entered into "the "artificial intelligence segment in partnership with Staqu"", "and will introduce AI"-enabled fashion search feature in its new range of smartphones- Fashion Eye & Fashion Eye 2.0.

Unless you've been living under a rock the last couple of days, it's been almost impossible to miss the wildly popular release of Pokemon Go mobile application. Central to the application is geo-location, which is used in conjunction with augmented reality to place virtual characters in the real world where they can be sought and captured by game players.

In this contributed article, Sean Moshir, Co-founder, Chairman and CEO of CellTrust examines the rising use of unstructured data from social media networks in politics and how analytics can be used to circumvent tactics to manipulate social media by political campaigns.

IT organizations are going to need to rely more on analytics to identify what is normal end user behavior.

IT organizations are going to need to rely more on analytics to identify what is normal end user behavior.

Regardless of how much data your company has — and how much your business leaders are asking for — you're likely missing some hidden gems. Here are 12 examples of what you might be overlooking, and why it matters to IT professionals, and to your business at large.

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.

I have had plenty of conversations with people from companies that are thinking about (or in the process of) going mobile who show me their desktop-based dashboard and ask, "How do we put this on a mobile phone/tablet?" Just because someone says you need to give access to your company reports on mobile devices doesn't…

I know two things about Henry Ford. One, he was forever telling customers "Any colour as long as…

They say we are living in the age of information. The internet has made it easy for anyone to gather whatever information they need to achieve whatever end they desire. Did you know that you could even learn how to build your own car online? Did you know that you could teach yourself how to run your own Fortune 500 Company? Yes, what was only available to those who could afford Ivy League education is now available to anyone with an internet connection. The question is, how will you use this data to your benefit?

The FlyElephant team is happy to announce the release of the platform FlyElephant 2.0, with following updates: internal expert community, collaboration on projects, public tasks, Docker and Jupyter support, a new file storage system and work with HPC clusters. FlyElephant is a platform for data scientists, engineers and scientists, which provides a ready-computing infrastructure for high-performance computing and rendering. It helps to find partners to work together on projects, as well as it can manage all resources from one place. The platform consists of 3 main parts: Compute. A quick access to a cloud computing cluster or to a HPC cluster with the necessary software, as well as a calculation automation.

In the first post in this two-part series, I summarized the journey to Hadoop at Dell SecureWorks. In this follow-on post, I will wrap up the story of our Hadoop journey with a look at five key lessons that we learned. Keep these important best practices in mind should you embark on your own Hadoop journey. Lesson 1: Start with the end in mind Our Hadoop journey began with this goal: getting all data flowing into our proprietary system to also flow into our Hadoop cluster. We decided to delay figuring out how to use the data until after we were finished with the changes needed to bring it in.

Computing as we know it has changed: major advancements in processing, networking, and storage have opened the door to a whole new set of possibilities for how to leverage data. Whether it's self-driving cars, automated financial planning, legal help, factory automation, medical diagnoses, or any number of other applications, data and advanced analytics are working their way into virtually every corner of our personal and professional lives.

If you haven't created and launched your big data and analytics strategy, you may already be behind your competitors. We asked CIOs, CEOs, and other IT professionals whether they're using big data and analytics, and why or why not. The overwhelming majority of respondents are not only using big data and analytics, but consider it essential to their business operations.

Big Data engines are powering a lot of service businesses right now. Data is collected from users from wearable technologies, web behaviors, purchase behavior as well as several arbitrary data points we'd never think of. The demand for faster and bigger engines to crunch and serve up the data to services is growing exponentially.

You may not know it, but the way you drive is unique-sort of like a fingerprint. How fast you drive, how tight you turn, and how long you idle in the driveway before hitting the road all help to identify you from others on the road. Thanks to advanced telematics and machine learning systems, automotive insurance companies are finding creative ways of putting this "driving fingerprint" to use in the real world. To be sure, the impact of big data analytics on the auto insurance industry is certainly growing.

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.

If you want to play with an ARM-based server, you can now apply to gain access to one online through the Linaro Developer Cloud. The cloud service was announced in March but has finally gone live. It's mainly targeted at developers who want to evaluate ARM servers. The free service is one way to access ARM servers, which aren't widely available. Applications go through an approval process, and only those serious about programming for ARM servers will likely be approved.

The best-practices for building IoT applications with Go Code that attendees can use to build their own IoT applications. In his session at Things Expo, Indraneel Mitra, Senior Solutions Architect & Technology Evangelist at Cognizant, provided valuable information and resources for both novice and experienced developers on how to get started with IoT and Golang in a day. He also provided information on how to use Intel Arduino Kit, Go Robotics API and AWS IoT stack to build an application that gathers, analyzes, and acts on data generated by connected devices.

Microsoft Office 365 users will soon get anew tools that aim to improve their writing skills, help prioritize important email and better research topics of interest.

Microsoft today announced a new set of features designed to help Office 365 users save time and increase productivity. The cloud services bring new capabilities and insights to three of Microsoft's most popular business applications: Word, PowerPoint and Outlook. "Editor," a new feature in Word, for example, is designed to help you improve your writing by suggesting changes beyond simple misspellings and grammatical errors. The digital writing assistant will provide more advanced proofing and editing suggestions over time, and it will eventually explain why specific words or phrases may not be accurate, according to Microsoft.

Individual vendors and a new industry group are fighting ransomware threats, but attacks are rising.

So how can today's enterprise build out modern IT operations and achieve crucial digital initiatives? Check out these nine rules.

Impetus Technologies, a big data software products and services company, today announced the company is offering a cloud-based trial version of its StreamAnalytix platform.

JBOF ("jay-boff"), or Just A Bunch of Flash, may sound like a pejorative acronym. But when industry analyst Randy Kerns, senior strategist at Evaluator Group, used it in reference to new flash storage technology announced today by IBM, he meant it in a favorable way. The IBM DeepFlash 150 is a flash solution targeting large analytics workloads involving high volumes of unstructured data, and it's offered at under $1 per gigabyte of data (and less after compression or deduplification).

Many organizations are only just now starting to encounter some of the challenges associated with scaling up to IoT production levels.

Software-defined security is poised to eliminate the need for proprietary appliances, a bonus for the often weak security link created by branch offices.

For many IT organizations, it's simpler to manage access points via a centralized platform that a networking vendor like Ruckus makes available.

For many IT organizations, it's simpler to manage access points via a centralized platform that a networking vendor like Ruckus makes available.

This summer, I worked as a Customer Success Intern with the Technical Support Team at Hortonworks. My experience as an intern was packed with fun but what I really was able to takeaway from the opportunity was an invaluable experience. I worked on the automation side with the support team, helping build tools and scripts… The post My Summer at Hortonworks — Customer Success Internship, Technical Support Team appeared first on Hortonworks.

by Ramkumar Chandrasekeran, Software Engineer – Microsoft R Tiger Team DeployR Enterprise is designed to deliver analytics solutions at scale to whomever needs it: inside or outside the enterprise….




by Ramkumar Chandrasekeran, Software Engineer – Microsoft R Tiger Team DeployR Enterprise is designed to deliver analytics solutions at scale to whomever needs it: inside or outside the enterprise. It also guarantees secure delivery of your analytics via DeployR web services. These secure web services integrate seamlessly with existing enterprise security solutions: Single Sign-On, LDAP, Active Directory, PAM, and Basic Authentication, can enforce access privileges already defined by your IT department for existing enterprise users and also have the capability to safely support anonymous users when needed.

As our customers look to use their data to drive their missions forward, finding a way to simply and cost-effectively use analytics is increasingly important. Training and Certification now offers Data Warehousing on AWS, a new training course to help you learn how to leverage the AWS Cloud as a platform for data warehousing solutions. New Course Data Warehousing on AWS is a designed for database architects, database administrators, database developers, and data analysts/scientists.

Data science and predictive analytics are top of mind – but how do you get started? I had the chance to interview Eric Siegel, founder of Predictive Analytics World, the leading conference series, and author of the popular, award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which earlier this… The post Getting Started with Predictive Analytics – an Interview with Eric Siegel appeared first on Predictive Analytics Times.

In a previous blog, Harmonizing Different Risk Management Terminologies, I shared my conviction that companies should use a single shared terminology if they intend to bring down the walls that have siloed risk management practices by department over the years, like IT risk, EH&S risk, project risks, and so on. I'd like to take this…

The TOR network is an anonymous internet that can contain powerful information relating to the illicit sale of goods and personal identifying information. Managing and identifying TOR network websites is a challenge as sites are changing constantly. In this video, we cover the process we use to stay on top of sites on the Dark Web so… The post VIDEO: How We Identify Dark Web Sites appeared first on BrightPlanet.

Data warehouse and analytics company Teradata has added to its training and consulting bench with the acquisition of Big Data Partnership, a London-based startup that should also extend the company's global reach.

The secret to engaging end users in any application is providing some ability to engage with data in real time.

Retired Air Force Col. Lee Ellis talks about millennials, gender differences at work and business leaders entering politics.

Many surveyed CEOs are concerned about their company's ability to keep up with new tech, and question whether basic business processes can be integrated with the IoT.

The acquisition of Appcito puts A10 Networks in a better position to service the growing demand for ADC functionality in the cloud.

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