Big Data News – 04 Nov 2016

Today's Infographic Link: 38 Predictions About the Future

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Think fast, CIOs. It's time for organizations to move past the "false promise" of a bimodal approach to IT, which results in a divided tech department operating at two different speeds, according to research and advisory firm Forrester. Instead, CIOs need to push for enterprise-wide acceleration — and a comprehensive business technology strategy — to keep up with customers' appetites for new products and services. "Gone are the days of stability and predictability. The business environment you operate in will change faster than ever in 2017. Many of these changes will be outside of your control, but your ability to anticipate and respond will make or break your success," Forrester writes in a research document focused on the evolving role of the CIO in 2017.

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Election-tracking nonprofit Ushahidi will use SMS, social media, and email to connect citizens with vetted volunteers and lawyers to monitor the upcoming US election.

Everybody wants to be a winner. One way to get there is to follow the leaders. In networking, big cloud companies like Google and Facebook are at the top of their game. They run giant data centers, continually launch and modify large-scale applications, and don't seem to be bound to big system vendors. Many ordinary enterprises would love what the internet heavyweights have: standardized networks that can support any application without administrators having to configure a lot of proprietary hardware. Conveniently, some of those cutting-edge companies offer parts of their technology to others through open-source specifications. But there are limits to how well a company in the insurance or machine-tool business can emulate world-changing tech giants. It turns out no one can just become Google, at least not overnight.

AdaBoost is a canonical example of the class of AnyBoost algorithms that create ensembles of weak learners. We discuss how a complex problem like predicting restaurant failure (which is surely caused by different problems in different situations) might benefit from this technique.

On Friday, days before the US presidential election on November 8, Uber said it wants to help increase voter turnout by offering an in-app feature that helps bring riders to their polling locations.

Companies continue their migration of both applications and computing infrastructure to the cloud at a steady pace. They have moved 45% of their applications and computing infrastructure to the cloud already, and they expect well over half of their IT environment to be cloud-based by 2018, according to a recent IDG Enterprise survey of 925 IT decision makers.

Business efforts to deliver analytics tools to external customers largely fall short. Even when systems are in place, they don't provide the desired information

Only a few months ago the news broke that Vista Equity Partners had acquired identity management vendor Ping Identity for around $600 million. The private equity buyout is one which, in these IPO-constrained times, has seen increasing interest. With the sale, eyes turned toward Ping to see how it would deliver the growth and quick wins that its new overlords would, no doubt, demand. Ping had already seen good traction — it claims half of the Fortune 100 as customers and has such marques as Boeing, Cisco, Disney, GE, Kraft Foods, TIAA and Walgreens on its books. But private equity wants more, and so the pressure was on Ping to deliver.

Many enterprises find it difficult to put Hadoop into production and deliver value, even after successful pilots. Learn how cloud-based Hadoop/Spark services may help, on this expert webinar and live Q&A with guest speaker, Forrester VP and Principal Analyst Mike Gualtieri.   Find out how Hadoop and Spark are evolving, why enterprises remain challenged by deployments, and how cloud services help   Learn more about the unique requirements of data science and why the data lake concept is getting so much attention   Hear how companies utilize "data lake as a service" from Prat Moghe, CEO of Cazena   Join us Thursday, November 10,  at 10am PT/1pm ET. Mike Gualtieri VP & Principal Analyst, Forrester   Prat Moghe CEO/Founder,  Cazena     www.cazena.com

Red Hat delivered an update to Linux platforms that addresses how packets are transferred, container management, IoT devices, securing IT environment.

With IoT, malware could spread like a pathogen among connected devices by compromising just one of them.

The key to truly capitalizing on IoT data is a well-established, integrated information management strategy.

Last night, the Chicago Cubs made history by winning the World Series for the first time in 108 years, beating the Cleveland Indians in a nail-biting extra-innings game. As a result, today's blog post is a little late as I, along with most of Chicago, was celebrating into the wee hours of this morning. In recognition of the event, and the fact that simple data analysis is all I can muster today, I thought I'd use the excellent Lahman package, which provides a trove of baseball statistics for R, to have a look at the historical performance of the two teams. 

70 percent of those in charge of an organization's security are feeling overwhelmed and say that threat intelligence is often too voluminous.

A hyperscale cloud data center looks different from an enterprise data center, or even a large hosting provider. The problems they face are different from the problems you face. And your approach to everything from how you choose a site to how you manage power to how long you keep servers is not their approach.

Amazon Web Services (AWS) dominates the worldwide public IaaS market, is in tight competition in the PaaS market. But it's an also-ran when it comes to the managed private cloud category, according to a report from Synergy Research Group.

Social media data aggregated by Sysomos before the World Series shows that the Cubs and Indians beat a negative news cycle, defeated both major political candidates, and united the country.

IoT devices, especially in the form of wearables, have long been used to track human activity. Now, they're used to monitor cows. Here's how sensors and software are collecting data for farmers.

IDC has issued its IT FutureScape forecast for 2017, which includes 10 predictions for IT. Here's how cloud, mobile, social media, big data, AI, virtual reality, and other innovations are changing the world.

Dive Brief:Businesses should not dump their DNS service providers simply because of the massive DDoS attack on Dyn last month, says Gartner analyst Bob Gill in an




A new lab in the MIT Center for Real Estate (CRE) will link the creation of the built environment to economic impact, seeking to identify innovations in design and technology that will determine the future of communities and cities. The MIT Real Estate Innovation Lab (REIL) will explore three areas: innovations in building design that lead to new building types and urban forms; new processes in construction such as 3-D printing and modular construction; and new data technologies with the potential to transform the organization of cities and the built environment. "Thirty years ago, green buildings were a cutting-edge concept. Today they are the standard, not only due to their environmental benefits but because there is evidence that justifies the economic investment," says Andrea Chegut, research scientist and director of the new lab.;

Earn your doctorate in Management & Decision Sciences — in as little as three years.  Business analytics spending will grow to $89.6 billion in 2018. This is a tremendous opportunity.  Banking, healthcare, energy and business are just some of the industries that rely on insightful analysis. In fact, the market for Big Data specialists gets bigger every day — and Capitol Technology University's PhD program will prepare you for it.  Earn your PhD in convenient online courses that let you balance work and family at Capitol Technology University. Learn more now.

Mesosphere, the main commercial outfit behind the Apache Mesos datacenter and container orchestration project, has taken a good look at its user base and found that they gravitate toward a few fundamental use cases. Survey data released recently by Mesosphere in the "Apache Mesos 2016 Survey Report," indicates that Mesos users focus on running containers at scale, using Mesos to deploy big data frameworks, and relying heavily on the core tool set that Mesos and DC/OS provide rather than using substitutes. [ InfoWorld's quick guide: Digital Transformation and the Agile Enterprise.

It's easy to be so focused on the daily chores of managing a big data project that you forget to keep the board in the loop. Never take the board's endorsement for granted.

Finding the right integration strategy across ERP, CRM, Warehouse Management, PLM and cloud environments

The spreadsheet isn't going away anytime soon. But the reliance on it as a standalone tool is waning, as the use of enterprise performance management solutions rises.

In-memory data store Redis recently acquired a module architecture to expand functionality. The latest module is a machine learning add-on that accelerates delivery of results from trained data rather than training itself. Redis-ML, or the Redis Module for Machine Learning, comes courtesy of the commercial outfit that drives Redis development, Redis Labs. It speeds the execution of machine learning models while still allowing those models to be trained in familiar ways. Redis works as an in-memory cache backed by disk storage, and its creators claim machine learning models can be executed orders of magnitude more quickly with it.

The rise of Big Data analytics coupled with AI technologies will turn the management of indirect channels into more of a science.

Data and analytics initiatives may underpin every digital transformation initiative, but can these programs be trusted? A new survey from KPMG shows that even those running the programs don't always trust them.

The Privacy Shield transatlantic data transfer deal is now caught in a pincer action: A week after it emerged that Irish digital rights activists had filed suit to annul the deal come reports that a French campaign group has begun its own legal action. French civil liberties campaign group La Quadrature du Net filed suit against the European Commission, the European Union's executive body, on Oct. 25. Although the Court of Justice of the EU has not yet published details of the complaint, Brussels-based news agency Euractiv reported Thursday that La Quadrature's goal is to annul the commission's decision that Privacy Shield provides adequate protection under EU law when the personal information of EU citizens is transferred to the U.S. for processing.

I've always loved dogs. Some of my first memories are with family pets, and many of them (the memories and the pets) are hilarious. Others are sad. Like when my dad, at his wits end, took my dog Beau to the pound. Beau had jumped the fence one too many times. That's when I learned what animal shelters do to dogs. Throughout my life I've adopted, rescued, fostered and advocated on behalf of homeless animals. As my friends and family (and neighbors, and people in line at Starbucks, and the guy at my shoe repair) can tell you, I'm pretty adamant about pet adoption. But only after I began volunteering at some of L.A.'s high-kill shelters did I start to comprehend what could be. Many shelters are run by good people who are trying to manage a system in which supply exceeds demand. Many are also dirty, loud, underfunded, short-staffed, often managed by overwhelmed public servants with little leadership training, and poorly measured.

The cloud has made it dead simple to quickly spin up a new server without waiting for IT. But the ease of deploying new servers — and the democratic nature of cloud management — can be a security nightmare, as a simple configuration error or administrative mistake can compromise the security of your organization's entire cloud environment. With sensitive data increasingly heading to the cloud, how your organization secures its instances and overall cloud infrastructure is of paramount importance. Cloud providers, like Amazon, secure the server hardware your instances run on, but the security of the cloud infrastructure your organization sets up on that infrastructure is all on you. A broad array of built-in security services and third-party tools are available to secure practically any workload, but you have to know how to use them. And it all starts with proper configuration.

Internet of things (IoT) data promises to unlock unique and unprecedented business insights, but only if enterprises can successfully manage the data flowing into their organizations from IoT sources. One problem enterprises will encounter as they try to elicit value from their IoT initiatives is data drift: changes to the structure, content, and meaning of data that result from frequent and unpredictable changes to source devices and data processing infrastructure. Whether processed in stream or batch form, data typically moves from source to final storage locations through a variety of tools. Changes anywhere along this chain — be they schema changes to source systems, shifts in the meaning of coded field values, or an upgrade or addition to the software components involved in data production — can result in incomplete, inaccurate, or inconsistent data in downstream systems.

The closely watched launch on Wednesday of Microsoft's Teams, a rival to chat platforms Slack and HipChat, shows how important this kind of collaboration is for any company that wants to dominate workday life. Cisco Systems is no exception. On Tuesday at Cisco's conference for channel partners, the company laid out an ambitious goal for its Spark chat platform and announced two moves to make it more attractive to enterprises. Spark is now the centerpiece of Cisco's collaboration portfolio, which spans voice calling, videoconferencing, document sharing, and other capabilities. Like Slack or Microsoft Teams, the messaging platform is designed to be the virtual home base for teams of employees, from which they branch out into other collaboration tools and productivity applications.

At one time, tablets were king of the hill. Those times are gone forever.

Data and analytics are increasingly becoming central to business decision-making, especially in areas such as driving customer growth, improving productivity and managing risk. But even as organizations push to make their decision-making more data-driven, business leaders accustomed to making decisions based on gut-instincts and experience are having trouble trusting insights from data and analytics (D&A). Forrester Consulting, commissioned by the Data and Analytics Global team at professional services firm KPMG, recently surveyed 2,165 data and analytics decision-makers from a range of industries in Australia, Brazil, Canada, China, France, Germany, India, the U.K. and the U.S.

Nearly half of data and analytics decision makers say their C-level executives do not fully support the organization's data and analytics strategy. Here's how to grow trust and make changes.

AI remains elusive in part because the humans programming it struggle to get outside themselves. But, it still holds promise for the future.

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