Sunday, July 12, 2015

[Landmark] BBC bit to be handed out to one million UK pupils from today

Some thirty years after it launched the the first microcomputer, BBC began handing out a new pocket-sized codeable computer - dubbed the micro:bit - for one million school children this morning.
The new computer, similar to the Raspberry Pi, will be given to 11 or 12-year-olds in year 7 across the UK, for free.
The BBC first introduced many school children to computing for the first time in 1981, when it produced its BBC Micro. Today’s giveaway is part of its 2015 Make It Digital initiative, inspiring young people to be creative and develop core skills in science, technology and engineering.
Partners involved in the development and distribution of the micro:bit include ARM, Barclays, BBC, element14, Freescale, Lancaster University, Microsoft, Nordic Semiconductor, Samsung, ScienceScope, Technology Will Save Us and the Wellcome Trust.
Tony Hall, Director-General of the BBC said: “Channelling the spirit of the Micro for the digital age, the BBC micro:bit will inspire a new generation in a defining moment for digital creativity here in the UK. All you need is your curiosity, creativity and imagination – we’ll provide the tools. This has the power to be transformative for the UK. The BBC is one of the few organisations in the world that could convene something on this scale, with such an unprecedented partnership at its core.”
Measuring 4cm by 5cm, the micro:bit is available in a range of colours and is designed to be fun and easy to use, allowing children to transition to more complicated codeable boards like the Raspberry Pi or Arduino in the future.
It will allow children to code simple tasks in “seconds”, like lighting up its LEDs or displaying a pattern – with no prior knowledge of computing.
It also connects to other devices, sensors, kits and objects.
Key features include:
  • 25 red LEDs to light up, flash messages, create games and invent digital stories
  • Two programmable buttons activated when pressed. Use the micro:bit as a games controller. Pause or skip songs on a playlist.
  • On-board motion detector or 'accelerometer' that can detect movement and tell other devices you’re on the go. Featured actions include shake, tilt and freefall. Turn the micro:bit into a spirit level. Light it up when something is moved. Use it for motion-activated games.
  • A built-in compass or 'magnetometer' to sense which direction you’re facing, your movement in degrees, and where you are. Includes an in-built magnet, and can sense certain types of metal.
  • Bluetooth Smart Technology to connect to the internet and interact with the world around you. Connect the micro:bit to other micro:bits, devices, kits, phones, tablets, cameras and everyday objects all around. Share creations or join forces to create multi-micro:bit masterpieces. Take a selfie. Pause a DVD or control your playlist.  
  • Five Input and Output (I/O) rings to connect the micro:bit to devices or sensors using crocodile clips or 4mm banana plugs. Use the micro:bit to send commands to and from the rings, to power devices like robots and motors.
Each element of the BBC micro:bit is completely programmable via easy-to-use software on a dedicated website (available later in the summer at microbit.co.uk) that can be accessed from a PC, tablet or mobile. The website allows children to save and test creations in a simulator before they are transferred to the micro:bit.
Sinead Rocks, Head of BBC Learning, said: “We happily give children paint brushes when they’re young, with no experience - it should be exactly the same with technology. The BBC micro:bit is all about young people learning to express themselves digitally, and it’s their device to own. It’s our most ambitious education initiative for 30 years. And as the micro:bit is able to connect to everything from mobile phones to plant pots and Raspberry Pis, this could be for the internet-of-things what the BBC Micro was to the British gaming industry.”

Programmers Pay Hits A Record: This Is What Software Engineers Earn BEFORE Their Bonuses


The average base salary of a software engineer in the US is getting closer to $100,000. This year, the average is $97,098, up just a few dollars from the year before.
European engineers, however, earn a lot less. But they did get a big boost in base pay this year: Salaries in Europe average €43,536 ($55,329) before bonuses are paid, up 9% from €39,498 ($50,198) in 2013.
We asked Glassdoor to run these numbers for us. Glassdoor's salary survey is based on 3,600 software engineer salary reports in the US, and a smaller number in Europe.
Glassdoor tech salaries comparison nologo



Best programming languages every beginner should learn

Computer science is a booming industry in the US — and it pays extremely well. There’s always demand for sharp, talented engineers, which is why learning how to code can seem like an attractive option. 
But, as is the case with any new skill, it can be difficult to know where to start. Here are a few steps you should take early on, and programming languages that are best-suited for beginners. 

Start with ‘drag and drop’ programming.

“Drag and drop” programming is a basic technique that allows you to build code by dragging and dropping blocks or some other visual cue rather than manually writing text-based code.
It makes it easy to understand the basics of programming without getting caught up in meticulous character placement, according to Hadi Partovi, cofounder of a website that offers online coding courses called Code.org.
“Once you’ve learned the basic concepts using drag and drop, you’ll immediately want to learn [how to] do the real thing,” Partovi said to Business Insider.
There are plenty of programs out there that can help you get started with drag and drop programming, including MIT Scratch and Code.org’s Code Studio, and Google Blocky. 

Python as a starter languauge

Python is an easy language for beginners, according to Partovi, because there’s less of an emphasis on syntax. So, if you forget your parentheses or misplace a few semicolons, it shouldn’t trip you up as much as it might if you were coding in a different language.

Javascript is one of the most useful languages

Javascript isn’t as easy as Python, but it runs on every single platform out there — Mac, Windows, iOS, and Android among others. Every single Web browser, and even new types of devices like smartwatches use Javascript at some capacity, Partovi said.
“Once you reach that level of critical mass, it’s not going away,” Partovi said.

After Javascript, try Ruby and Ruby on Rails.

Ruby on Rails is a great tool that can help you with the backend aspect of your programming. Although Ruby and Ruby on Rails have similar names, there’s actually an important difference. Ruby is a scripting language, just like Python, but Ruby on Rails is a Web app framework built on Ruby. In other words, Ruby is the language, while Ruby on Rails is a tool that makes it easy to use the Ruby language to build websites. 
What makes Ruby and Ruby on Rails so attractive, according to Partovi, is that there’s very little prototyping involved. This means that once you have the code written, it’s pretty easy to get the final product up and running.

BONUS: Get familiar with HTML

While HTML isn’t a programming language in the sense that Python, Ruby, and Javascript are, you still need it to build a website. HTML is used to describe how your website looks, while other languages like Javascript power the interactive components, such as what happens when you click a button on the site.

Could humans be just as dangerous as AIs

If you’ve been watching Humans on Channel 4 over the last few weeks then you’ll be aware that the Synths (life-like robots envisioned by sci-fi hungry producers) are connected to the internet. This connection, which may seem rudimentary, could have huge implications. 
Much of the discussion around the dangers posed by robots of the future has focused on artificial intelligence and how super-smart robots may one day decide they don’t actually like us humans all that much and turn against us.
But few people are talking about what happens if a robot or an AI is hacked by a human that wants to cause harm. There’s been a lot of discussion around what happens when an internet connected car or an internet connected plane is targeted by a hacker but now the conversation needs to move on. 
A senior researcher from Russian security giant Kaspersky told Techworld this week that it’s possible to hack any internet-connected machine if the right security protocols aren’t in place.   
“Theoretically there’s no reason why it couldn’t happen,” said David Emm of Kaspersky Labs. “If it’s got connectivity then why not. It’s kind of a scary thought. 
“People hack into computers and you gulp sometimes. You look at the Office of Personnel Management in the US or you look at Sony. Or you take Stuxnet and you think, ‘hang on, you’re going into a plant in another country and you’re sabotaging a physical process’. That’s pretty awesome! I wouldn’t want to say that somebody couldn’t subvert another machine.” 
While Synths haven’t yet found their way into Dixons, there are armies of researchers across the world looking to make machines more intelligent. Google, for example, splashed out up to £400 million on DeepMind, a company creating artificial intelligence “agents” capable of thinking and learning independently. Then there’s Honda, which has built Asimo – a robot with a human-like body and a slightly creepy wave.
Those developing internet-enabled robots need to remember that security should be at the heart of every connected machine. If it’s overlooked then whose to say what the hacking adversaries will tell robots to do in the future. I don’t know about you, but a hacker-controlled robot wielding a gun or a knife isn’t a robot I’d like to encounter. 

[Make Money Online] Big Data: A $1 Billion Bet At Caesar's

Caesar’s Entertainment, formerly known as Harrah’s – the company which runs the famous Caesar’s Palace Las Vegas and more than 50 other casinos worldwide – established itself as an early leader in Big Data customer service.

It has hit more than a spot of bother recently – amidst a messy bankruptcy of its casino operating unit, it is also now reportedly facing fines of up to $20 million over money laundering allegations.
The most valuable of the individual assets being fought over by creditors is the data which has been collected over the last 17 years through the company’s Total Rewards scheme. This program gained Caesar’s a reputation as a pioneer in Big Data-driven marketing and customer services in the entertainment industry and is estimated to be worth over $1 billion.
The program was launched by CEO Gary Loveman, when he took up the post of chief operating officer in 1998.
Way back in 2003, Loveman told Harvard Business Review “We use database marketing and decision-science-based analytical tools to widen the gap between us and casino operators who base their customer incentives more on intuition than evidence.”
Over the years, Caesars extended the scope of its rewards scheme and the depth of its analytics. By spending money at its resorts and gambling at its casinos, customers could be rewarded with free meals, upgraded hotel rooms, tickets to shows and limo rides.
The program is divided into tiers, which customers advance through by spending money in the casinos. At the top tier, known as seven star, guests receive up to four night’s complimentary stay at Caesars hotels, and even get their air fare paid by the casino chain. With customers this valuable (seven star members spend upwards of $500,000 with the company in a year) no expense is spared in getting them through the door.
In fact, there is one tier higher than seven star – but it was specially created for one gambler, Terrence Watanabe, a businessman who blew over $200 million gambling in Vegas in one year! Mr Watanabe was extended a monthly air travel allowance of up to $12,500 by the casino group.
In return Caesars receive information from the customer on who they are, and how they behave while using the facilities. This meant that offers could be tailored and floor staff could be ready to greet customers by name and direct them to their favorite game.
It’s no surprise that the massive dataset has been valued as the company’s most valuable individual asset. And also no surprise that the transfer of the asset from the bankrupt operating unit to the still-solvent parent company is currently the subject of an independent investigation, ahead of upcoming bankruptcy proceedings. Creditors have accused the company of trying to keep its best assets to itself, while Caesars, adamant that everything is above board, are contesting the charge.
The program is said to contain details on over 45 million customers, and data is captured from the moment they make their booking to the moment they leave, in the name of providing a tailored customer service experience – and of course ultimately encouraging them to spend money with the group. The value derived from the program prompted company vice president Joshua Kanter to claim in 2013 “Big Data is even more important than a gaming licence.”
All of the company’s customer service analytics is carried out by a 200-strong team based at the Flamingo, Las Vegas. Every individual customer’s trip is monitored in real-time – allowing representatives to step in and offer a complimentary meal or night’s stay as a consolation prize to an unlucky player – as long as the analytics say that the investment is likely to make a return in the long-run. The most important metric is the “lifetime value” of the customer whose behavior is being analyzed.
The wide range of activities offered at Caesars venues – from dining and gaming to shows, shopping and spa treatments – mean that a wide variety of data can be collected on many aspects of their customers’ lives. By contrast, a movie chain will only collect data on what films a customer enjoys (and perhaps what variety of popcorn), and a restaurant will probably only be able to collect data on their diet. This broader overview of a person’s preferences allows more precise judgements to be made about how to make sure each customer keeps coming back.
The company also uses location data from customers using its mobile app. The app offers the customer the convenience of skipping check-in queues, making reservations and ordering room service, while allowing the company to see where they are – meaning they can be offered discounted tickets to shows nearby, or other location-based promotions.
Caesar’s current financial difficulties are said to be down to a general decline in the money spent in the US on gambling, and its failing, unlike rivals, to take advantage of growing overseas markets, particularly in Asia. However, its casinos continue to operate and it is thought to be extremely unlikely that famous names like Caesar’s Palace will disappear from the Las Vegas strip any time soon, whatever the outcome of proceedings.
No matter what shape the group emerges from its troubles, it will be remembered for its pioneering use of data to identify and meet customer expectations in the gambling industry, and is likely to go on to innovate further in the field of customer-focused Big Data analytics.
Thank you for reading my post. Here at LinkedIn and at Forbes I regularly write about management, technology and the mega-trend that is Big Data. If you would like to read my regular posts then please click 'Follow' and feel free to also connect via Twitter, Facebook and The Advanced Performance Institute.
You might also be interested in my new big data case study collection, which you can download for free from here: Big Data Case Study Collection: 7 Amazing Companies That Really Get Big Data.
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About : Bernard Marr is a globally recognized expert in big data, analytics and enterprise performance. He helps companies improve decision-making and performance using data. His new book is Data: Using Smart Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance. You can read a free sample chapter here.

Make Money Online and Advertising: How to Do It the Right Way


Native advertising is one of the most popular buzzwords being tossed around the industry right now. But it’s surrounded by a fog of abstractness and plenty of uncertainty. Is it a strategy or a tactic? Is it something truly new and unique or is it just advertorial rebranded?

PluggedIn BD brought together publishers, advertisers, and brands for an open discussion in hopes of bringing some clarity to the idea of native. It was moderated by Rich Ullman and these are the questions we were able to (sort of) answer. 
Why native advertising?
The cynics will say that native is just a way to squeeze more money out of agencies. Alright, so there may be some truth in that, but it also comes from a shift in the dynamics of consumers (specifically, millennials). Millennials hate commercial messaging. Consumers are widening the moat around themselves, and now we are finding a way to build a bridge to get to them. Native is a result of realizing that if we really want to communicate with people, we need to serve them something they’re actually interested in.
There are a whole bunch of companies (especially in the finance and pharma industries) with great, valuable content that doesn’t just push their products. Publishers want that content to bring value to their readers. One seamless way to do that is with native advertising. Native can truly benefit the user, with the potential to create a much better experience than standard display ads. No one is looking to the right rail anymore, so by moving content to the center, we’re getting people to pay attention. Our mission is to build something better than the banner.
At the end of the day, native is still advertising, but the distinction is that we’re putting ads in a place that feels right. We’re putting round pegs in round holes, rather than trying to shove something in where it doesn’t belong. (Or we should be, at least.)
What’s the relationship between publishers, agencies, and brands?
Brands know how to make products. Agencies know how to create campaigns. Publishers know how to create content. Brands understand value, publishers understand audience, and agencies...well, agencies understand how to serve their brands, and that’s about it.
The purpose of an ad (even native ads) is to sell. But as a publisher, you’re always going to be most interested in delighting your readers so that they continue to come back to your publication. There lies the real tension between brands and publishers when it comes to native.
What happens when native is done right?
People are not exactly rioting in the streets for native advertising. Yet while consumers may not love it, they certainly find it less offensive. The blowback comes when it’s not done correctly and we try to pass off one thing as another. At The Guardian, the litmus test is this: Would an average user, coming to the publication for the first time, be able to tell the difference? If readers can’t tell if something is brought to them by an advertiser or by the newsroom, that’s a problem. Our job is to not confuse consumers. It’s to the publisher’s, advertiser’s, and reader’s benefit to clearly signpost branded or sponsored content.
When AT&T approached The Guardian wanting to be aligned with small business, the publication gladly accepted a blank check to start a small business channel. Now it could hire an editor and four contributors, creating something it had always wanted to do. The problem (for the brand) is that with this type of model, not everything the newsroom produces is going to be on brief. There’s a perilous highwire you walk when you leverage a social organic footprint on one side but have to balance that with less control.
Then, of course, there’s the fact that publishers are not able to really push back when they don’t agree with the messaging. They’re lending their voice (or, in the case of VICE, their “swagger”) and must give up some control on their end as well.Ideally, publishers will know what their audience is truly interested in and only partner with brands who share those values. There needs to be an alignment. We know that people are more willing to buy things from companies with values they agree with, and we’re finding ways to tell those stories with native advertising.
How can we make content better at scale?
Let’s think about scale on a spectrum. On one side, we have something that scales very easily like a banner ad. One the other, we have something like sponsored content that we work on hand-in-hand with a publisher so it’s as perfect as possible for the particular environment (but a bit more tenuous in terms of scale). The question we should be asking is: How do we find balance between the two sides?
Much of this comes down to what that content is worth. Does it make sense as an advertiser to do an upteenth sponsored cat listicle on Buzzfeed? Especially if you’re not adding much, just slapping a logo onto something that would be a piece of editorial content to begin with. Give some real thought about where on that spectrum you want to be. There’s a trade-off. If you want to do something that scales quite elegantly, you must understand that it can’t match what the publisher can do.
Dare we use the p-word? Programmatic. In order for native to be successful, it has to be scalable. Agencies are scratching their heads in terms of what models to use for this native programming. But that brings us to another hurdle: The idea of standardization and native seem contradictory. Once we have true standards, it ceases to be native and instead becomes an ad unit.
When we think about scale, that brings us to the question of how to quantify the value of native beyond just access. You can move a lot of people on the internet fairly easily, but is it really valuable to a brand to have thousands of unqualified eyeballs on a piece? Tons of traffic is the best way to achieve scale, but is that the best way to achieve value? One method is to start bringing micro-publishers into the mix. Sure, big publishers may have the reach and quality content, but their voice and audience may not align. You can break through that and get your message out with these micro-publishers.
What results really matter?
There can also be tension between what you think an advertiser should be evaluating as a KPI and what they’re actually evaluating. Maybe it’s impressions, maybe it’s qualified leads. We often find that advertiser KPIs don’t change from a banner ad to a piece of native content. We need to figure out the missing ingredient.
If we’re looking at it from the publisher and marketer side, it’s an efficiency game. Publishers need to make money and marketers are only going to get on board if they can scale it efficiently. This content needs to be both engaging and profitable. Some of that comes down to the right targeting. For publishers, there’s also a question of standards. Readers should be able to say, “I came to The Huffington Post and got exactly what I expected, even if it was an ad.”
Vanity comes into play too. We want to get written up in the trades, get awards, and make the CMO look good. If you took native advertising on its own and separated it from your display and programmatic business, most publishers would not have a profitable enterprise on that alone. I a sense, native content is really just a “piece of cool.” But it’s also about greater levels of engagement. We’re looking at video completion rates (rather than just clicks). We’re thinking of engagement as a metric. That could be any number of things (likes, retweets, comments) and goes beyond CPC and CPM. The challenge arises when brands try to put a dollar number on that. What is an engagement worth? We need to figure out what matters and then educate buyers on what the metrics should be. Clients need to understand what success looks like.
What can we expect from the future of native advertising?
Our industry experts had some big predictions for this space over the next 12 to 18 months:
  • There’s going to be some programmatic, but there’s also going to be tension because customized content can never really be programmatic. We’ll have to solve that tension.
  • There will be more clarity about what native actually is, along with the standards that work.
  • We’ll see more native platforms really targeting.
  • It’s also going to be more platform agnostic.
  • We’ll be moving from content to content experiences.
  • There will be more (meaning any) clarity and consistency around KPIs.
  • We won’t be using the word native at all. “It’s a bullshit term that’s not very helpful.”
  • And, finally, “We’ll probably just going to be following whatever Facebook is doing.”

Wednesday, July 8, 2015

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If you are a Amazon, Clickbank , or any other type of affiliate.
If you sell information products on internet.
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It’s not possible to transform new customers if you can’t mortal fresh leads.
Simple enough, right?
But as you may already know, the conventional wells of leads and traffic are pretty dry out.
Marketers are fighting for scraps in ‘em.

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(ignore the other WSOs…I discover all of their stuff right on this website) and Why They inspire
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