The Truth About The Trump Data Team That People Are Freaking Out About

Alexander Nix is a director at SCL Group and CEO of its subsidiary, Cambridge Analytica, which worked on President Trump’s campaign.

Bryan Bedder / Getty Images

Last December, a Swiss publication called Das Magazin credited an obscure consulting firm that advised Donald Trump’s campaign with having “turned the world upside down” on Election Day. The article was an underground sensation in German, in a bootlegged English translation, and then on Vice, raising concerns that the company, Cambridge Analytica, used sophisticated psychological tools to manipulate unwitting American voters.

Readers shared the article more than 350,000 times, according to analytics service BuzzSumo. With it, conspiracy theories gave the firm almost unlimited power to control our lives with what one critic called a “weaponized AI propaganda machine.” And Cambridge Analytica itself has hardly shrunk from the controversy: Alexander Nix, the CEO, boasted that it had “profiled the personality of every adult in the United States of America — 220 million people.”

But interviews with 13 former employees, campaign staffers, and executives at other Republican consulting firms who have seen Cambridge Analytica’s work suggest that its psychological approach was not actually used by the Trump campaign and, furthermore, the company has never provided evidence that it even works. Rather than a sinister breakthrough in political technology, the Cambridge Analytica story appears to be part of the traditional contest among consultants on a winning political campaign to get their share of credit — and win future clients.

Every person who spoke to BuzzFeed News insisted on anonymity, with many citing a reluctance to cross the company’s powerful leaders, who insiders say include co-owner Rebekah Mercer, one of Trump’s major donors, and board member Steve Bannon, his chief strategist.

Yet when Nix claimed that on a single day during the campaign, the firm tested more than 175,000 different Facebook ad variations based on personality types, Gary Coby, who ran digital advertising for the Trump campaign, took to Twitter to call it a “100% Lie” and “total rubbish.” Gerrit Lansing, who worked with the campaign and is now the White House chief digital officer, also dismissed Nix’s claim as “a lie.” Both declined to comment further, as did Mercer and Bannon.

Cambridge Analytica insists it played an “instrumental” role in the campaign and made “an important contribution to the team effort,” according to a statement emailed by Joshua Kail, a public relations representative. But despite articles still featured on its website touting the role psychographic techniques played in Trump’s campaign, the statement added, “We have always stated on the record that Cambridge Analytica did not have the opportunity to dive deeply into our psychographic offering because we simply did not have the time.”

That psychographic approach starts, Nix has said, with classifying people according to five traits — openness, conscientiousness, extroversion, agreeableness, and neuroticism. In September, the company said it planned to pinpoint 20 million persuadable voters in battleground states and target them with messages carefully tailored to those traits.

Several people who worked directly with Cambridge Analytica told BuzzFeed News that despite its sales pitch and public statements, it never provided any proof that the technique was effective or that the company had the ability to execute it on a large scale. “Anytime we ever wanted to test anything as far as psychographic was concerned, they would get very hesitant,” said one former campaign staffer. “At no point did they provide us any documentation that it would work.”

During a tense exchange at a post-election conference for Republican data firms, an audience member asked Matt Oczkowski, head of Cambridge Analytica’s product team, if his firm had used any psychographic profiles at all during the Trump campaign. According to two people in attendance, Oczkowski said that the company had not.

Some insiders say the individual data scientists from Cambridge Analytica embedded with the campaign did top-notch work, including recognizing that Trump’s supporters were different than establishment Republicans. They helped identify, for example, a younger and more rural group of supporters they called “disenfranchised new Republicans.” But those same insiders say Cambridge Analytica’s executives have greatly overstated the firm’s importance to Trump’s victory and overall strategy.

”You get a lot of snake oil like this in data work,” said one consultant.

Some of the concern about Cambridge Analytica stems from reports that it has a vast trove of information on hundreds of millions of individual Americans.

In several articles, Nix has said the company has 5,000 pieces of data on every American adult. As creepy as that may sound, however, it’s common: Campaigns and political consultants on both the left and the right purchase data about everything from voters’ age and gender to their magazine subscriptions and TV habits.

Cambridge Analytica has also been scrutinized for a database of personal Facebook information it obtained several years ago from a researcher at Cambridge University, according to internal documents obtained by The Guardian. The researcher’s project offered people a free online psychological test and the option to share their Facebook profile data. His methods were then allegedly shared with SCL Group, Cambridge Analytica’s parent company, and replicated without either the participants’ or the researcher’s consent.

BuzzFeed News has previously reported that SCL Group said it had run a voter suppression project in Nigeria and its founder once compared its methods to those used by Hitler.

In marketing pitches, two GOP operatives recalled, Nix has claimed his company has access to proprietary information that includes Facebook data. One of the operatives said the data was too old to be helpful and couldn’t be updated. Others said they’d received a similar pitch, but Nix was too vague about the details for them to evaluate what the data really was. None of the campaign staffers BuzzFeed News spoke with said Cambridge Analytica’s proprietary data had played a key role in any decision-making.

As speculation has turned to what role Cambridge Analytica may have in supporting the Trump administration’s policies going forward, conspiracy theories about what the firm is doing with that personal Facebook data have multiplied.

Asked a series of detailed questions about that data and how it was obtained, the Cambridge Analytica spokesperson did not respond directly, but said the company “does not obtain data from Facebook profiles or Facebook ‘likes’ as reported.” He continued, “Cambridge Analytica developed all its own methodology and its own intellectual property. It did not partner with Cambridge University on these.”

Facebook, which told The Guardian in 2015 that it was investigating allegations that the company had improperly obtained data from its users, would not comment on the current status of that investigation. But as a general rule, Andy Stone, a Facebook spokesperson, said, “Misleading people or misusing their information is a direct violation of our policies and we will take swift action against companies that do, including banning those companies from Facebook and requiring them to destroy all improperly collected data.”

Quelle: <a href="The Truth About The Trump Data Team That People Are Freaking Out About“>BuzzFeed

AWS Serverless Application Model (AWS SAM) Supports Inline Swagger and AWS CloudFormation Intrinsic Functions

The AWS Serverless Application Model (AWS SAM) has introduced several new updates to improve your serverless application development. AWS SAM extends AWS CloudFormation to provide a simplified syntax for defining the Amazon API Gateway APIs, AWS Lambda functions, and Amazon DynamoDB tables needed by your serverless application. It is available under Apache 2.0.
Quelle: aws.amazon.com

Developer Advocates offer up their favorite Google Cloud NEXT 17 sessions

By Sam Ramji, Vice President of Product Management, Compute and Developer Services

Here at Google Cloud, we employ a small army of developer advocates, DAs for short, who are out on the front lines at conferences, at customer premise, or on social media, explaining our technologies and communicating back to people like me and our product teams about your needs as a member of a development community.

DAs take the responsibility of advocating for developers seriously, and have spent time poring over the extensive Google Cloud Next ’17 session catalog, bookmarking the talks that will benefit you. To wit:

If you’re a developer working in Ruby, you know to turn to Aja Hammerly for all things Ruby/Google Cloud Platform (GCP)-related. Aja’s top pick for Rubyists at Next is Google Cloud Platform < 3 Ruby with Google Developer Program Engineer Remi Taylor, but there are other noteworthy mentions on her personal blog.
Mete Atamel is your go-to DA for all things Windows on GCP. Selfishly, his top Next session is his own about running ASP.NET apps on GCP, but he has plenty more suggestions for you to choose from. 
Groovy nut Guillaume Laforge is going to be one busy guy at Next, jumping from between sessions about PaaS, serverless and containers, to name a few. Here’s his full list of his must-see sessions. 
If you’re a game developer, let Mark Mandel be your guide. Besides co-presenting with Rob Whitehead, CTO of Improbable, Mark has bookmarked sessions about location-based gaming, using GPUs and game analytics. Mosy on over to his personal blog for the full list.
In the past year, Google Apps Script has opened the door to building amazing customizations for G Suite, our communication and collaboration platform. In this G Suite Developers blog post, Wesley Chun walks you through some of the cool Apps Script sessions, as well as sessions about App Maker and some nifty G Suite APIs. 
Want to attend sessions that teach you about our machine learning services? That’s where you’ll find our hands-on ML expert Sara Robinson, who in addition to recommending her favorite Next sessions, also examines her talk from last year’s event using Cloud Natural Language API. 

For my part, I’m really looking forward to Day 3, which we’re modeling after my favorite open source conferences thanks to Sarah Novotny’s leadership. We’ll have a carefully assembled set of open talks on Kubernetes, TensorFlow and Apache Beam that cover the technologies, how to contribute, the ecosystems around them and small group discussions with the developers. For a full list of keynotes, bootcamps and breakout sessions, check out the schedule and reserve your spot.
Quelle: Google Cloud Platform

OpenStack Project Team Gathering, Atlanta, 2017

Over the last several years, OpenStack has conducted OpenStack Summit twice a year. One of these occurs in North America, and the other one alternates between Europe and Asia/Pacific.

This year, OpenStack Summit in North America is in Boston , and the other one will be in Sydney.

This year, though, the OpenStack Foundation is trying something a little different. Wheras in previous years, a portion of OpenStack Summit was the developers summit, where the next version of OpenStack was planned, this year that’s been split off into its own separate event called the PTG – the Project Teams Gathering. That’s going to be happening next week in Atlanta.

Throughout the week, I’m going to be interviewing engineers who work on OpenStack. Most of these will be people from Red Hat, but I will also be interviewing people from some other organizations, and posting their thoughts about the Ocata release – what they’ve been working on, and what they’ll be working on in the upcoming Pike release, based on their conversations in the coming week at the PTG.

So, follow this channel over the next couple weeks as I start posting those interviews. It’s going to take me a while to edit them after next week, of course. But you’ll start seeing some of these appear in my YouTube channel over the coming few days.

Thanks, and I look forward to filling you in on what’s happening in upstream OpenStack.
Quelle: RDO

How To Safely Send Your Nudes

A guide to sexting best practices for you and your favorite taker-of-nudes.

If you&;ve ever sent or received a sext, you&039;re not alone. In a 2013 study, about 27% of all smartphone users said they receive sexts on a regular basis, and 12% admitted to sending nudes (though the people polled may have been being coy). That number may even be higher now, as the study came out just as Snapchat, then an ephemeral multimedia messaging platform built around disappearing photos and video, was taking off.

This is a judgment-free zone. If you want to send a nude (and have a willing participant), then send a nude. There’s nothing wrong with nudity&; Human bodies are beautiful&033; But it&039;s also totally normal to want to maintain control of the way your nudes are seen and distributed.

The only way to truly control your nude distribution is to do it yourself. Just follow these simple steps: Take a pic of your goods, download the pic to an encrypted hard drive, drop in a password-protected folder, confiscate your partner’s phone, show them the image, close the file, return their phone, and proceed.

But that’s deeply unsexy&033; And also not how sexting works.

If you decide to send nudes, you assume the risk of those nudes ending up in a public forum, and should prepare yourself for the worst case scenario — but you can significantly lower that risk by following this guide to best practices for ~sensual~ electronic communication. These tips don’t offer a complete guarantee that your nudes won’t be leaked, but they are a good First Line of Defense Against the Dark Interwebs.

One note: If you’re under 18, never, ever, under any circumstances, share a photo of yourself naked. You can be prosecuted as a sex offender, even for sending a picture of yourself consensually.

Reclining Nude by Julien Vallou de Villeneuve / The Metropolitan Museum of Art

Here is the most important sexting advice of all: Only send NSFW content to people you trust. Does the recipient seem like someone who would publish your nudes as revenge or use them as blackmail? Do they seem like they take basic security precautions with their devices (see: tip )? Are they generally …trustworthy?

You can use apps that employ the most secure end-to-end encryption available, but it won’t matter if the person on the other end takes a screenshot, and “accidentally” posts it to Twitter. So make sure that the person you’re sending your Anthony Weiner to is someone who understands the value of the safekeeping of your selfie.

Because, duh&033; If their (or your) phone is ever stolen and left unlocked, your nudes might end up in the wrong hands.

You won’t always know when someone screenshots your sext. Yes, some services will notify you, but there are many ways to get around this.

You won’t always know when someone screenshots your sext. Yes, some services will notify you, but there are many ways to get around this.

Snapchat will display a particular icon (an arrow with spikes) when a screenshot of your Snap has been taken. Instagram will also notify you if the recipient of a “disappearing” Instagram direct message takes a screenshot.

However, neither of these notification features prevent someone from taking the screenshot in the first place, and they could easily take advantage of the app’s biggest loophole: taking a photo of the screen with another device.

Nicole Nguyen / BuzzFeed News


View Entire List ›

Quelle: <a href="How To Safely Send Your Nudes“>BuzzFeed

Why you shouldn’t choose between agile and DevOps approaches

You may hear your IT department talking about implementing agile or DevOps development. Both promise better and faster software development through collaboration. How are they different, and which is better for your business?
Agile software development principles enable developers to deliver new functionality quickly while responding to changing business requirements. Development teams deliver incremental features frequently, perhaps every couple of weeks. Traditional approaches often take months or even years to deliver new systems. In the meantime, business needs have changed and the systems are no longer a good fit. The agile approach helps address this problem.
DevOps addresses a different part of the software development lifecycle. It focuses on reducing handoffs between developers and the operations team running and supporting the systems. It aims to reduce the time to test and deploy code to users as well as reduce errors and downtime of the operational system.
Though agile and DevOps focus on different areas, they are related. The principles in the Agile Manifesto, published in 2001, refer to continuous delivery of working software. Continuous deployment is an aim of DevOps. Years later, the term DevOps was coined to describe using an agile approach in the operational context rather than development context of IT systems.
Many organizations are adopting agile and DevOps practices together. This combination enables businesses to manage a complete process from initial planning and requirements through to development, deployment and operation. This faster, leaner approach is often built around small teams with the skills to execute each of those tasks.
The prevalence of the agile-plus-DevOps approach is reflected in the results of IBM&;s global study exploring adoption, usage patterns and impact of DevOps. , which interviewed participants already using DevOps. The survey found that more than 75 percent use—or will soon use—an agile-plus-DevOps approach to:

Create single, unified teams responsible for the full application lifecycle
Apply agile and lean principles across their company.

Study participants reported many benefits and synergies of this combined approach, including:

Improvements in application quality and reduction of defects
Reduced application downtime and associated costs
Higher customer satisfaction
Faster time-to-market

Adopting agile-plus-DevOps is not without its challenges, however. Both approaches require companies to embrace technical as well as cultural changes. Making these changes is more challenging if your business has governance or regulatory requirements. And businesses may need to adjust processes and organizational structure.
The journey to become an organization that values collaboration, learning and experimentation takes time and a consistent strategy, but the payoffs can be considerable. IBM CIO Jeff Smith shares his top tips for building an agile enterprise:

For further Information on agile and DevOps approaches, check out our DevOps Application Performance Management for Dummies ebook.
Want to dig deeper into agile and DevOps?  Attend  for sessions, labs, and educational opportunities, including this session on agile and DevOps.
The post Why you shouldn’t choose between agile and DevOps approaches appeared first on news.
Quelle: Thoughts on Cloud

At InterConnect 2017, create the perfect session agenda with help from Watson

Last month, I shared my top five reasons to attend InterConnect 2017. If you’re like me, you probably browsed the session topics. Seeing almost 2000 entries, you may have had an “oh man” moment.
If you did, there’s a straightforward way of finding the sessions you’re interested in. Instead of paging through a lengthy list or keyword searching the old fashioned way, Watson’s natural language service gets you started on your agenda. Below is a quick video that shows you how easy it is:

The session titles and descriptions are natural language search friendly, so the quality of the matches is very good. My strategy is a variant of the junk drawer sort: toss everything in that looks even modestly interesting, then when it’s packed to the top, pick the best of the pile in a second pass.
As you’ll see in the video, I use the “my agenda” list as the junk drawer and then emailed it to myself for a second pass. The email listing includes all the descriptions and links. I found it a lot faster to scan the full descriptions in one list from my first pass than click-click-click through the online interface.
Of course, once I’ve made the second pass, I pick the top five sessions from my 40-plus vetted possibilities and forward them to my manager along with this manager-friendly list of reasons it’s a must-attend conference. They’ll be especially enamored with reason number one, “a year’s worth of professional education in just one week.”
Find out more about IBM InterConnect 2017 and register here.
A version of this article originally appeared on the Bluemix blog.
The post At InterConnect 2017, create the perfect session agenda with help from Watson appeared first on news.
Quelle: Thoughts on Cloud