Media Companies Lose Out As Advertisers Promote Their Stories on Facebook

When the workplace gossip app Blind expanded its product’s availability earlier this summer, it got the word out via an age-old tactic: advertising. But instead of running a traditional ad campaign, the company took a route gaining favor among advertisers big and small: It paid Facebook to promote a favorable review of its service.

Blind spent thousands of dollars promoting a Mashable article headlined “Silicon Valley's secret app Blind opens the floodgates.” The post drove more than 11,000 visits to its app download page, according to publicly available analytics. The campaign worked out nicely for Blind — and for Facebook, a master at making money off of other people’s content. But Mashable, which sells advertising to companies like Blind, didn’t see a dime. Neither did any other traditional publisher.

For publishers scrambling to compete with Facebook for advertising dollars, Blind’s Facebook-boosting strategy highlights yet another point of struggle. And advertisers are embracing the practice, steering ad dollars to Facebook that might otherwise have gone to publishers for whom they have long been a key revenue stream. Mattress company Casper, for instance, repurposed a BBC story as a Facebook ad promoting its product; a local plumbing company in Texas used a Dallas Morning News article about a water main break to promote its service; Facebook itself recently promoted an Ad Age article to hype its video offering.

The BBC, Ad Age, and the Dallas Morning News did not immediately respond to requests for comment. A spokesperson for the New York Times declined comment on the issue of Facebook boosting.

For advertisers looking for social media momentum, Facebook boosting is an easy way to market their products without paying someone to create an advertisement. And even better, they can convey their message with a shareable news article that doesn't appear to be an advertisement — because it isn't.

Promoting positive coverage on Facebook isn’t a particularly new strategy, but it seems to be gaining steam of late. Blind head of US operations Alex Shin told BuzzFeed News that a number of the startups he’s in contact with are employing the tactic, and he expects more companies to follow. “It’s probably the best form of awareness building, community building, and user acquisition there is,” he said.

“We’ve gotten calls, like, ‘Hey, we need your money, guys.’”

One advertiser that spends millions of dollars a year promoting articles on Facebook told BuzzFeed News that some media companies are so worried by the practice they’ve begun to complain. “We’ve gotten calls, like, ‘Hey, we need your money, guys,’” the advertiser said. “There’s no question these publishers have an issue. I don’t know what choice they have frankly.”

Indeed, with 2 billion users and ad targeting tools that enable advertisers to send their message to just the right demographic, Facebook is particularly alluring for advertisers who want to make sure the stories they like reach the people they most want to see them.

“You can’t just rely on the reach of a publisher who gives you a good review. You now have to take that review and promote it to 10 times or 20 times of the publisher’s audience,” Jason Stein, CEO of the ad agency Laundry Service, told BuzzFeed News. “Why wouldn’t you do that? It’s such a powerful piece of content to promote to people.”

The practice could be particularly painful to publishers with native ad shops (BuzzFeed included), which create content for advertisers, since advertisers may decide they can get by on free editorial coverage, using Facebook as a delivery mechanism.

Eric Perko, head of media at the advertising agency Muhtayzik Hoffer, told BuzzFeed News these types of ad buys are particularly effective because they resonate with people scrolling through social feeds. “It’s content that people want to read and it comes from a credible source,” Perko said. “At the end of the day that results in a more impactful impression against your target audience than trying to interrupt them [with a normal ad].”

Mashable's chief strategy officer, Adam Ostrow, said he's not particularly concerned about Facebook boosting undermining Mashable's ad revenues. Ad buys like Blind’s, he told BuzzFeed News, differ from the typical, preplanned campaigns Mashable runs; they’re a relative drop in the bucket. “We’re not worried about this particular segment of the market,” Ostrow said.

Still, now that people live in social streams, and advertisers are desperate to get a toehold inside them, the practice is likely to continue to draw attention and dollars. “What advertising professionals need is more and more and more content,” Jeff Melton, chief strategy officer at marketing company A Big Agency, told BuzzFeed News. “For less money per asset, you can create more credible, more persuasive content from your PR entity versus working with your lead creative shop.”

Quelle: <a href="Media Companies Lose Out As Advertisers Promote Their Stories on Facebook“>BuzzFeed

Amazon AppStream 2.0 Now Supports Microsoft Active Directory Domains

Starting today you can connect your Amazon AppStream 2.0 streaming instances to your Microsoft Active Directory (AD) domain. This new feature allows you to apply your existing AD policies to your streaming instances, and provides your users with single sign on access to Intranet sites, file shares, and network printers from within their applications. Your users are authenticated using a SAML 2.0 provider of your choice, and can access applications that require a connection to your AD domain.
Quelle: aws.amazon.com

The AWS Deep Learning AMI for Ubuntu is now available with CUDA 8, Ubuntu 16, and the latest versions of deep learning frameworks

The latest release of the AWS Deep Learning AMI Ubuntu Version includes several notable updates that help accelerate development of high-performance algorithms. The AMI now comes bundled with the Ubuntu 16.04 base image, NVIDIA CUDA 8 drivers, and the following deep learning framework versions:

MXNet v0.10.0.post1

TensorFlow v1.2.0

Theano 0.9.0

Caffe v1.0

Caffe2 v0.7.0

Keras 1.2.2

CNTK v2.0

Torch (master branch)

Quelle: aws.amazon.com

R.I.P. MS Paint (1985-2017)

Bad news for fans of crudely drawn Sonic fan art: MS Paint, the software that came pre-installed on Windows computers and gave you a way to waste time in the school library, won't be around much longer.

As part of the Windows 10 update, Microsoft will stop updating Paint. It’s not officially DEAD yet, but it is on the list of programs that will be “deprecated.” This means that it's not in active development, and could be removed in future updates. For now, you can still use it, and it's not going to be automatically removed from your machine or anything.

Microsoft did not immediately respond to a request for comment.

For those of us who grew up using it, MS Paint was a way to make shitty drawings; something we’d fool around with back in the mid-nineties but haven’t thought about much lately. But for professional designers, MS Paint was often the first tool they used to do the work that eventually became their passion and career. We asked BuzzFeed’s designers — people from across our editorial, technical, advertising, and design teams — to tell us what they remember about MS Paint.

What stands out in my mind thinking back to my childhood playing in MS Paint: This was the first time I remember I was allowed to make a complete mess any time I wanted. I take this for granted now when I turn on my computer to draw and paint. But as a kid then, it was a huge deal and there was no comparable experience. Spray paint can, paint can, paint brush. Instant cleanup. Complete freedom! –Nathan Pyle writer/illustrator

When I was 11 years old, I used Paint to design costumes for my pet bird, Ace Ventura, Pet Parakeet, who was unable to wear these costumes in real life, as he was a bird. This work later became the content for my first website, Ace's Cyber Perch. Today, 17 years later and working as a digital product designer, I attribute my success to the skills I learned in those early days, armed with none other than MS Paint. Please enjoy these attached remnants of the past. I hope they finally get the spotlight they deserve. Rest In Peace, MS Paint, you will be missed. Lindsey Maratta, product designer


What that I remember most is this: open blank paint doc. Scribble a line all over the page, so the line overlaps with itself. Use the paint bucket tool to FILL THAT BABY IN until there's not a blank space on the page. I mean, what is “white space” anyway? It was probably the first thing I ever “designed.” (I'm a graphic designer now.) –Angie Foster, designer on brand team

MS and I grew up together. Once I got out of high school and starting hanging out with Photoshop, we drifted apart, but sometimes when I went home to visit my parents we would catch up. Things would usually end in an argument, with one of us yelling something like, “But, like how do you add a layer?” and storming out frustrated. I like to think of the happier times though. I learned a lot from MS, and I have to wonder, would I be a completely different man if I had spent all that time playing SkiFree instead? –Ryan Pattie, designer

I used to make AIM Buddy Icons with MS Paint. I was the best at it in my junior high, which was pretty cool for my medium-level of popularity. Caylee Betts, product design manager

Ah, MS Paint. From the first time I watched a friend paint bucket what looked like a crochet grid to zoom out and see a perfectly formed curve, I knew you were too pure for this world. Rest in peace, sweet prince.” Dennis Huynh, design director

Quelle: <a href="R.I.P. MS Paint (1985-2017)“>BuzzFeed

My First Ansible Service (Video)

With this short video, we start a series based on Red Hat Knowledge Base articles exploring how to take advantage of Ansible automation inside Red Hat CloudForms.
In this first video we show:

How to enable Embedded Ansible in CloudForms
Set up a new Ansible GitHub repository
Create a new Service Catalog and Service Item
Provision and retire the new Service

 

 
The Red Hat Knowledge Base article, including the necessary playbooks to implement this example, are available on the Red Hat Customer Portal.
Quelle: CloudForms

Unlock the power of WebSphere z/OS on IBM Z

I’ve seen a lot of excitement from developers around the July 17th launch of the latest IBM Z hardware and software (z/OS), and justifiably so. There are clear, significant benefits of IBM Z, including its security, resiliency and performance characteristics that make it a platform worthy of running your mission-critical enterprise applications.
And for all of these reasons—and more—it’s also a great platform to run WebSphere Application Server (WAS).
Many of the largest and most successful enterprises and government agencies use WAS z/OS. They run thousands of runtime instances simultaneously to process billions of transactions per month. Like all current WAS offerings, WAS z/OS consists of two Java EE-compliant application server runtime environments. One is our “traditional” WAS (tWAS), the other is the newer WebSphere Liberty server. Both are fully supported, resilient, secure, production-ready servers  with unique operating characteristics, allowing you to choose the server that best suits your needs. But both tWAS and Liberty running on z/OS provide features that WAS is known for—and the z/OS platform extensions that IBM Z users expect.
We created Liberty a few years ago to better meet the needs of companies looking to develop a hybrid cloud infrastructure. It is composable, meaning it only includes the components your specific applications are using, making it lightweight and faster-starting. Liberty is also a pure Java-based server, enabling higher offload rates and therefore lower costs to users of IBM Z Systems Integrated Information Processor (zIIP) specialty engines.
Many IBM Z customers have begun to include WAS z/OS and Liberty as a core component of their application modernization strategies. They tell us it offers capabilities to modernize existing applications without the need to relocate them on another system.
As announced with the latest version of z/OS (V2R3), Liberty is now embedded in z/OS for use by elements and stack products. By sharing a single copy of Liberty, companies can reduce the maintenance overhead of multiple installed z/OS stack products.
Perhaps the best news? This embedded Liberty is also available at no additional charge for z/OS development use. Previously, WAS has been available at no charge for development use on desktop machines. So now you can think of this z/OS embedded Liberty as “WAS for developers on the mainframe.” It provides an excellent way to create an extended proof-of-concept to better understand how well your applications will run on z/OS, including zIIP offload characteristics.
So consider taking another look at IBM Z, specifically WAS z/OS, and WebSphere Liberty. This combination continues to grow and evolve, earning its reputation as a trusted and resilient platform designed to support companies’ most mission-critical work. If you’re ready to have an enterprise-grade platform that can deliver surpassed availability performance, and security, WAS z/OS is the solution for you.
Interested in learning more? Join our webcast on August 14, 2017 at 11 am EDT to hear directly from the experts about WAS z/OS on IBM Z.
The post Unlock the power of WebSphere z/OS on IBM Z appeared first on Cloud computing news.
Quelle: Thoughts on Cloud

CIO’s guide to data analytics and machine learning

By Fausto Ibarra, Director of Product Management, Google Cloud Platform

Editor’s Note: Download the new CIO’s guide to data analytics and machine learning here.

Breakthroughs in artificial intelligence (AI) have captured the imaginations of business and technical leaders alike: computers besting human world-champions in board games with more positions than there are atoms in the universe, mastering popular video games, and helping diagnose skin cancer. The AI techniques underlying these breakthroughs are finding diverse application across every industry. Early adopters are seeing results; particularly encouraging is that AI is starting to transform processes in established industries, from retail to financial services to manufacturing.

However, an organization’s effectiveness in applying these breakthroughs is anchored in the basics: a disciplined foundation in capturing, preparing and analyzing data. Data scientists spend up to 80% of their time on the “data wrangling,” “data munging” and “data janitor” work required well before the predictive capabilities promised by AI can be realized.

Capturing, preparing and analyzing data creates the foundation for successful AI initiatives. To help business and IT leaders create this virtuous cycle, Google Cloud has prepared a CIO’s guide to data analytics and machine learning that outlines key enabling technologies at each step. Crucially, the guide illustrates how managed cloud services greatly simplify the journey — regardless of an organization’s maturity in handling big data.

This is important because, for many companies, the more fundamental levels of data management present a larger challenge than new capabilities like AI. “Management teams often assume they can leapfrog best practices for basic data analytics by going directly to adopting artificial intelligence and other advanced technologies,” noted Oliver Wyman consultants Nick Harrison and Deborah O’Neill in a recent Harvard Business Review article (aptly titled If Your Company Isn’t Good at Analytics, It’s Not Ready for AI). “Like it or not, you can’t afford to skip the basics.

Building on new research and Google’s own contributions to big data since the beginning, this guide walks readers through each step in the data management cycle, illustrating what’s possible alongside examples.

Specifically, the CIO’s guide to data analytics and machine learning is designed to help business and IT leaders address some of the essential questions companies face in modernizing data strategy:

For my most important business processes, how can I capture raw data to ensure a proper foundation for future business questions? How can I do this cost-effectively?

What about unstructured data outside of my operational/transactional databases: raw files, documents, images, system logs, chat and support transcripts, social media?
How can I tap the same base of raw data I’ve collected to quickly get answers as new business questions arise?
Rather than processing historical data in batch, what about processes where I need a real-time view of the business? How can I easily handle data streaming in real time?
How can I unify the scattered silos of data across my organization to provide a current, end-to-end view? What about data stored off-premises in the multiple cloud and SaaS providers I work with?
How can I disseminate this capability across my organization — especially to business users, not just developers and data scientists?

Because managed cloud services deal with an organization’s sensitive data, security is a top consideration at each step of the data management cycle. From data ingestion into the cloud, followed by storage, preparation and ongoing analysis as additional data flows in, techniques like data encryption and the ability to connect your network directly to Google’s reflect data security best practices that keep data assets safe as they yield insights.

Wherever your company is on its path to data maturity, Google Cloud is here to help. We welcome the opportunity to learn more about your challenges and how we can help you unlock the transformational potential of data.
Quelle: Google Cloud Platform