Big Data News – 09 Jun 2016

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The media has documented some recent struggles by Palantir in retaining customers and staff. Included in this coverage is an assertion in a BuzzFeed article that: "Toward the end of last year, Palantir killed its effort to create an elite cybersecurity group, after executives decided it wasn't gaining enough traction… In April 2015, employees were informed that American Express had dumped Palantir after 18 months of cybersecurity work…

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In its simplest form, augmented reality enables app developers and businesses to overlay digital data on top of real world objects. Augmented reality, although in it's infancy, is already making huge waves across the mobile technology landscape and is already starting to prove a disruptive force across diverse industry sectors from finance and retail to travel and fashion. Augmented reality is largely viewed as an extension of existing technologies, which is useful in terms of consumer adoption as anyone with a smartphone or device that includes in built video capability can access and utilise the technology.

Deriving actionable insight from data and analytics is shifting to unified, cloud-based platforms that can be used by a variety of analysis personas. Take a look at a national retail chain scenario demonstrating how a comprehensive portfolio of end-to-end analytics in the cloud can provide the foundation for hands-on implementation of advanced analytics to derive insights that steer business decisions.

iguaz.io, the disruptive company challenging the status quo for big data, the Internet of Things (IoT) and cloud-native applications, unveiled its vision and architecture for revolutionizing data services for both private and public clouds.

I recently caught up with Ryan W.J. Waite, Senior Vice President of Products at Cray, Inc., to discuss the announcement of the company's new supercomputing analytics platform Urika GX — 3x faster than prior generations — in direct response to commercial customer demand.

To help businesses adapt to a world of omnipresent software, Salesforce aims to create more programmers. Here is a look at the company's first developer conference, where it explored that mission.

What is the most difficult task for a bank? Acquiring customers? Retaining customers? Growing share of customer wallet? No. Being customer centric is the most difficult task for any bank. But why is being customer centric so important? The answer is simple. A customer who is better engaged is easy to retain, easy to acquire and easy to do business with. So, how can a bank be more customer centric? It is not as easy as you think. This is where the importance of big data analytics comes in. Banks need to exploit the big data of customers to derive value for their customers. The equation is simple. Big data + analytics = big opportunities. For example, I use my credit card in a shop.

List: The annual Discover conference in Las Vegas saw several key updates made to HPE's portfolio.

The rise of algorithms is part of the larger trend involving the digitization of businesses. About a year ago, I wrote a post highlighting how ten enterprises– small and big–were taking advantage of their data by using predictive analytics. Here are five more companies who have made the predictive leap in a digitally disrupted world….

Recently, at the Apache Spark Maker Community event in San Francisco, I was on a panel and feeling a bit salty. It seems many people have prematurely declared victory in the data game. A few people have achieved self-service, and even more have claimed to. In truth, this is a tiny minority — and most of those people have achieved cargo-cult datacentricity. They use Hadoop and/or Spark and pull data into Excel, manipulate it, and paste it into PowerPoint. Maybe they've added Tableau and are able to make prettier charts, but what really has changed? Jack, that's what.

Mike Grimes is an SDE with Amazon EMR As a developer or data scientist, you rarely want to run a single serial job on an Apache Spark cluster. More often, to gain insight from your data you need to process it in multiple, possibly tiered steps, and then move the data into another format and process it even further. Perhaps you have a constant stream of data coming in and must kick off a job periodically, with dependent jobs that aggregate or further process the output.

Bob Brown/NetworkWorld SplunkLive! in Boston With a company and product name like Splunk, you've gotta hang a bit loose, as I found upon sitting in at the company's SplunkLive! event in Boston this week.  The first customer speaker of the day gave a frank assessment of his organization's implementation ("the on-premises solution, we struggled with it…") and his frustrations with the licensing model. You have to give Splunk credit for having enough confidence in its offerings to showcase such a kick-off case study.

Bob Brown/NetworkWorld SplunkLive! in Boston With a company and product name like Splunk, you've gotta hang a bit loose, as I found upon sitting in at the company's SplunkLive! event in Boston this week.  The first customer speaker of the day gave a frank assessment of his organization's implementation ("the on-premises solution, we struggled with it…") and his frustrations with the licensing model. You have to give Splunk credit for having enough confidence in its offerings to showcase such a kick-off case study.

"Inception Program" Offers Direct Access to NVIDIA's Latest GPU Technology, Deep Learning Expertise, Global Network of Partners and Customers NVIDIA today unveiled a comprehensive global program to support the innovation and growth of startups that are driving new breakthroughs in artificial intelligence and data science. The NVIDIA Inception Program provides unique tools, resources and opportunities to the waves of entrepreneurs starting new companies, so they can develop products and services with a first-mover advantage.

Teradata (NYSE: TDC), the big data analytics and marketing applications company, introduced the Teradata® Aster® Connector for Spark, an industry-first integration of Apache Sparkanalytics with Teradata Aster Analytics.

Background I teach a masters program on Smart cities (Big Data/Data Science/IoT analytics) at Citysciences (part of the University of Madrid) I am pleased to announce the AI / Deep Learning Lab for Future Cities – at University of Madrid  We welcome call for Papers – please email me at ajit.jaokar at futuretext.com if you are interested in the below  Introduction Created by Ajit Jaokar at citysciences, the aim of the lab is to explore cross domain, complex, AI related problems for future cities Artificial Intelligence (AI) and Deep Learning technologies are impacting many aspects of our lives. In future, this impact is expected to accelerate to many more areas including Smart cities.  

The ability to monitor and manage the performance of NoSQL databases is all over the map, making it crucial for users to find the right technology for the applications they're looking to run.

SYS-CON Events announced today that Plasma will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. Plasma, headquartered in Dallas, Texas, is a leader in IoT and Enterprise Digital Transformation. C2M®, Plasma's code-free, end-to-end IoT and Digital Enterprise platform allows easy, secure and rapid prototyping and deployment of IoT/M2M solutions.

Advanced data analytics and AI techniques such as cognitive intelligence and deep machine learning are finding new applications in the drive to understand and respond to a growing range of cyber security threats as they unfold. Among the latest AI startups to attract early investment backing is Los Angeles-based Armorway, which announced a $2.5 million seed funding round this week to be used to extend its AI platform. The patented technology is touted as delivering a range of analytics capabilities spanning descriptive, diagnostic, predictive and prescriptive analytics.

Employees want to bring to work what they use/wear elsewhere, but frustrations, security and data privacy make it complicated.

Yes!  Data is vital in today's economy and is the currency of the future. By analysing customer insights, product performance and other critical data sources, companies can tap into additional revenue opportunities.  TCS Analytics & Insights practice enables organizations to capitalize on opportunities through insightful and precise data analysis.

In order to be successful, IT needs to develop a roadmap for its agile development efforts. Here are four points that can help ease the creation process.

IBM is open for data. Watch this high level overview of IBM's Cloud Data Services portfolio presented by CDS General Manager Derek Schoettle. Learn how cloud solutions can allow you to tackle data problems and grow your business.

How analytically-driven are today's leading companies? It's a question more and more organizations are asking themselves as they struggle to transform their data into actionable insights in order to drive growth. And while businesses of all shapes and sizes inspire to be analytically driven, most are not sure what that looks like. We surveyed over… The post INFOGRAPHIC: The 2016 State of Enterprise Analytics appeared first on Predictive Analytics Times.

It's been about three years since Apache Spark burst onto the big data scene and became one of the hottest technologies on the planet. Judging by the numbers surrounding Spark's adoption–including things like salaries, attendance, and committers-the future of Spark looks quite bright. Wondering how much money Spark developers make? (We know you are!) According to Tech Overflow's latest developer survey, Spark tied with Scala for the top-paying job in technology, with Spark developers in the U.S. earning an average of $125,000 per year. It's interesting to note that Spark and Scala were tied, considering that Spark was largely written in Scala, and that Scala remains the most popular language for programming Spark applications.

For an optimal cloud, workload management must be deployed as a core component of an integrated strategy, not as an afterthought.

This article "Revenge of the nerds" was written by the Data Team from The Economist. It is a daily chart that explains which degrees give the best financial returns. It concerns all degrees from American Universities (Sample of 452 institutions; based on 2012-13 costs.) More blue points at the top means higher return for engineering, computer science and maths degrees. Note that admission rate does not seem to have a big impact on ROI, as if high admission rate comes with lower tuition fees, and thus lower salary to achieve same ROI as low-admission-rate (presumably more expensive) schools. 

Stay on the cutting edge with these highlights from the Apache Spark Maker Community Event as you sit in on interviews with industry leaders and explore the power of the IBM Data Science Experience.

Finally–June 2016–and time for SAPinsider BI2016 in Vienna!  If you weren't able to make it to SAPPHIRE NOW in Orlando last month, no worries!  We're bringing a number of the most interesting and exciting innovations in the SAP BusinessObjects Business Intelligence solution offering to Vienna. Here is my list of some Top Picks that you'll…

At Hadoop Summit San Jose we are excited to be joined by industry experts from the Insurance Industry. Here are just a few of the business focussed sessions, but you need to register to attend Hadoop Summit. Disrupting Insurance with Advanced Analytics

Daptiv TTM lets project team members submit information easily and accurately, no matter where they are.

Over the course of the last couple of years, Apache Spark has enjoyed explosive growth in both usage and mind share. These days, any self-respecting big data offering is obliged to either connect to or make use of it. Now comes the hard part: Turning Spark into a commodity.

Over the course of the last couple of years, Apache Spark has enjoyed explosive growth in both usage and mind share. These days, any self-respecting big data offering is obliged to either connect to or make use of it. Now comes the hard part: Turning Spark into a commodity.

Over the course of the last couple of years, Apache Spark has enjoyed explosive growth in both usage and mind share. These days, any self-respecting big data offering is obliged to either connect to or make use of it. Now comes the hard part: Turning Spark into a commodity.

     We are excited to share the newly released agenda with you, click below to see the tracks including:   Big Data Analytics | Data-Driven Products | Data Science & Machine Learning | Big Data Strategy   Find Out Why You Need To Attend   Learn how to organize your data science team and toolset so you can increase productivity whilst democratizing the knowledge produced  

Join our practical Statistica webcast: "A Day in the Life of a Citizen Data Scientist" Are more and more employees across your organization being asked to make data-driven decisions on a regular basis? Join our June 21 webcast to see how the new tools of Dell Statistica 13.1 respond to this trend, making it easier than ever for these "citizen data scientists" to be productive on a daily basis.  

In case you missed them, here are some articles from May of particular interest to R users. A 3-part tutorial on principal components regression in R: part 1, part 2, and part 3. Implications of the…

On the tree of automotive evolution, the modern car is a closer cousin to the computer than classic clunker. That's the influence of tech at work — and the consumer's appetite for it. It's caused OEMs to prioritize infotainment and connectivity instead of just horsepower and MPGs. That shift has resulted in the expectation that… The post Qualcomm, Hortonworks showcase connected car platform at TU-Automotive Detroit appeared first on Hortonworks.

Nexient CEO Matt Orttung explains the pressures that shape his views on outsourcing and the visa system.

In this special guest feature, Brandon Louder, Regional Technical Manager at Solutionary, asserts that with the implementation of big data into other prevalent industries, it is only natural that the technology become a major focal point for cybersecurity. Just like other industries, cybersecurity also needs to manage risk and produce actionable intelligence from a tremendous amount of data, with speed and accuracy at the top of mind.




Bell Helicopter is an industry-leading producer of commercial and military aircraft, manned and unmanned vertical-lift aircraft, and the pioneer of the revolutionary tiltrotor aircraft. Bell Helicopter's aircraft generate massive amounts of parameter and vibration data that indicate the ongoing performance and safety of the aircraft. Bell wanted to better harness this semi-structured and unstructured aircraft…

Usability and overall user experience with a software product is one of the most significant factors in user satisfaction. At G2 Crowd, as a part of the product review process we capture 7 different satisfaction metrics including usability.

Salesforce CRM Software is well aligned with the business processes in your company. You can then proceed to give these objects the names of your business processes. After doing this, you can populate the CRM software with data about these processes. The role played by the Salesforce CRM adjusts over time to accommodate the changing attitudes of the customers.

Digital Initiatives create new ways of conducting business, which drive the need for increasingly advanced security and regulatory compliance challenges with exponentially more damaging consequences. In the BMC and Forbes Insights Survey in 2016, 97% of executives said they expect a rise in data breach attempts in the next 12 months.

At its Discover conference in Las Vegas Hewlett Packard Enterprise announced updates to its Helion Cloud Portfolio, and touted breakthroughs in its software-defined data center strategy. The company also welcomed developers to work on The Machine, its next-generation computer architecture.

If some players exit the manufacturing market, others may join, or current players may grow stronger.

Mendix's update takes some of the complexity out of building an application.

Unless you have just returned to Earth after a short break on Mars, you will have noted that some of the shine has come off the big data bandwagon lately. Two academic papers that may have escaped your attention can help us to understand why — but also demonstrate that the naysayers are as misguided in their cynicism as are the zealots are in their naïvety.

In anticipation of his upcoming conference co-presentation, Personalized Medicine and Text Analytics at Text Analytics World Chicago, June 21-22, 2016, we asked Dirk Van Hyfte, Senior Advisor for Biomedical Informatics at InterSystems Corporation, a few questions about his work in text analytics. Q: In your work with text analytics, what behavior or outcome do your models… The post Wise Practitioner – Text Analytics Interview Series: Dirk Van Hyfte at InterSystems Corporation appeared first on Predictive Analytics Times.

Every business is an insights business, where information acts as currency.

BI data helps workers perform at a higher level as it becomes easier to access and use–and many workers can now access BI data without IT's help.

The media has documented some recent struggles by Palantir in retaining customers and staff. Included in this coverage is an assertion in a BuzzFeed article that: "Toward the end of last year, Palantir killed its effort to create an elite cybersecurity group, after executives decided it wasn't gaining enough traction… In April 2015, employees were informed that American Express had dumped Palantir after 18 months of cybersecurity work…

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