A tale of two smartphones SAMSUNG GALAXY S4 Vs APPLE IPHONE 5

Smart: The screen reacts to movement, and a video will automatically pause if you're not looking at the phone

Ref: http://www.dailymail.co.uk/sciencetech/article-2331480/Samsung-accidentally-reveals-new-mini-version-Galaxy-S4-handset-OWN-website.html

3 Ways Social Media Can Help You Land a Job (And Keep It)

Currently, at my company, our HR team receives an average of 850 applications a month, and that number just keeps rising. Although recent reports suggest that the US job market is bouncing back, the reality is that many talented people out there are still struggling to land the careers they want.

Hitting wall after wall in the job hunt can be especially frustrating for new graduates and those in the early stages of their careers, who are chomping at the bit for the chance to channel their passion and ambition into something real.

While traditional tactics for boosting hireability are still invaluable, (like attending networking events and polishing up your resume), an increasingly critical tool for standing out from the crowd is social media. If you're not incorporating Facebook, Twitter and LinkedIn into your job search, you're missing out on a key competitive advantage.

Here are three ways to put social media to work for you:

1. Use social networks to boost your networking power ... and your chances of getting that foot in the door.

It's common knowledge that most jobs come about as a result of networking, not through responding to job ads or sending out countless resumes. Nothing will ever beat a face-to-face meeting for instant rapport.

But what social networking has done is open up access to key decision makers who used to simply be out of reach. As Lars Schmidt, head of talent acquisition & innovation at NPR recently told me, "You can imagine social media as a big virtual conference where you have an opportunity to start making connections."

Perhaps the best way for job seekers to take their traditional networking efforts to the next level is to start following people in their industry on Twitter and to connect with them on LinkedIn. Through these networks, research employers and reach out to them through trusted friends and colleagues who might be able to make introductions. In particular, LinkedIn Groups are a great way to start conversations with like-minded people. Look for groups that focus on job searching and career topics to expand your own knowledge and contact base. Also, find your desired employers' Twitter profiles or company blogs and follow them, or like their Facebook and LinkedIn company pages. This way, you'll have a chance to connect more intimately with them and can show off your knowledge and passion when the opportunity rises.

Overall, I find it's helpful not to expect a set outcome from these encounters, rather to be open-minded. Learn things; get to know people. The best part is that communication doesn't have to be all that formal. Even just talking about common interests or sharing an interesting article can build trust and open doors.

2. Leverage social media to create a professional and attractive brand online and woo prospective employers.

A 2012 study showed that more than one-third of employers (37%) now use social networks to screen potential job candidates. This means many companies are now making hiring decisions based on what peoples' online personas say about them.

The great thing about social media, of course, is that you control what others see and know about you. Start with LinkedIn. At my company, we like it when candidates invest time in their LinkedIn profiles. Highlighting team projects or emphasizing volunteering and sports shows you can work well in groups. Recommendations are also great ways to add credibility. Ask people who've seen you shine—whether former teachers, bosses or colleagues—to write one out for you. On Twitter, share information and links to resources that you think will be interesting or valuable to others in your desired field, and have meaningful public exchanges.

Another integral part of using social media to build a professional personal brand is to, well, stay professional. A few years ago, a promising candidate for a job here tweeted this from his personal Twitter account: "going to a phone interview with @hootsuite and I am drunk after a few hours in the #congress2012 beer tent." Needless to say, he was not hired.

3. Become a social media skills guru.

At HootSuite, all 300-plus employees are actually encouraged to use social media at their desks, on the job. And this isn't just because we're a social media company. It's because social media enables people to do work better, whatever department they're in.

Our salespeople are using social networks like Twitter and LinkedIn to research and reach out to people more effectively. Our HR department uses social media to hire better, including having a dedicated Twitter profile to connect with candidates. Our customer support team connects with users on Twitter and Facebook, allowing for much faster responses than via phone or email. And the list goes on.

My point is that as social media becomes incorporated more fully into business (and it will!) being savvy about Twitter, Facebook and LinkedIn will become a critical skill set. In today's business landscape, jobs are becoming less specialized and more general; the more you know, the more hireable you become.

That's part of the reason we created a program called HootSuite University, which helps graduates and young professionals grow their social media skills and gain formal certification. Courses range from 'The Dos and Don'ts of Social Media Etiquette,' to 'An Introduction to Social Media Across an Organization.'

Social media isn't just for sharing funny cat photos with your friends, or telling them what you had for breakfast. In the right hands, it's a powerful tool — in the job hunt and on the job.

Ref: http://www.linkedin.com/today/post/article/20130528194312-2967511-3-ways-social-media-can-help-you-land-a-job-and-keep-it?trk=tod-posts-art-

Big Data?

Big Data?

Big Data is THE biggest buzzwords around at the moment and I believe big data will change the world. Some say it will be even bigger than the Internet. What’s certain, big data will impact everyone's life. Having said that, I also think that the term 'big data' is not very well defined and is, in fact, not well chosen. Let me use this article to explain what's behind the massive 'big data' buzz and demystify some of the hype.

Basically, big data refers to our ability to collect and analyze the vast amounts of data we are now generating in the world. The ability to harness the ever-expanding amounts of data is completely transforming our ability to understand the world and everything within it. The advances in analyzing big data allow us to e.g. decode human DNA in minutes, find cures for cancer, accurately predict human behavior, foil terrorist attacks, pinpoint marketing efforts and prevent diseases. Take this business example: Wal-Mart is able to take data from your past buying patterns, their internal stock information, your mobile phone location data, social media as well as external weather information and analyze all of this in seconds so it can send you a voucher for a BBQ cleaner to your phone – but only if you own a barbeque, the weather is nice and you currently are within a 3 miles radius of a Wal-Mart store that has the BBQ cleaner in stock. That's scary stuff, but one step at a time, let's first look at why we have so much more data than ever before.

In my talks and training sessions on big data I talk about the 'datafication of the world'. This datafication is caused by a number of things including the adoption of social media, the digitalization of books, music and videos, the increasing use of the Internet as well as cheaper and better sensors that allow us to measure and track everything. Just think about it for a minute:

• When you were reading a book in the past, no external data was generated. If you now use a Kindle or Nook device, they track what you are reading, when you are reading it, how often you read it, how quickly you read it, and so on.
• When you were listening to CDs in the past no data was generated. Now we listen to Music on your iPhone or digital music player and these devices are recording data on what we are listening to, when and how often, in what order etc.
• Today, most of us carry smart phones and they are constantly collecting and generating data by logging our location, tracking our speed, monitoring what apps we are using as well as who we are ringing or texting.
• Sensors are increasingly used to monitor and capture everything from temperature to power consumption, from ocean movements to traffic flows, from dust bin collections to your heart rate. Your car is full of sensors and so are smart TVs, smart watches, smart fridges, etc. Take my new scales (which I - as a gadget freak - love!), they measure (and keep a record of) my weight, my % body fat, my heart rate and even the air quality in our bed room. When I step on the scales they automatically recognize me, take all the measurement and then send them via Bluetooth to my iPhone which gives me stats on how my Body Mass Index etc. is changing. This information is then also synced with the data collected by my Up band, which tracks how many calories I have consumed and burnt in a day and how well I have slept at night.
• Finally, combine all this now with the billions of internet searches performed daily, the billions of status updates, wall posts, comments and likes generated on Facebook each day, the 400+ million tweets sent on Twitter per day and the 72 hours of video uploaded to YouTube every minute.

I am sure you are getting the point. The volume of data is growing at a freighting rate. Google’s executive chairman Eric Schmidt brings it to a point: “From the dawn of civilization until 2003, humankind generated five exabytes of data. Now we produce five exabytes every two days…and the pace is accelerating.”

Not only do we have a lot of data, we also have a lot of different and new types of data: text, video, web search logs, sensor data, financial transactions and credit card payments etc. In the world of ‘Big Data’ we talk about the 4 Vs that characterize big data:

• Volume – the vast amounts of data generated every second
• Velocity – the speed at which new data is generated and moves around (credit card fraud detection is a good example where millions of transactions are checked for unusual patterns in almost real time)
• Variety – the increasingly different types of data (from financial data to social media feeds, from photos to sensor data, from video capture to voice recordings)
• Veracity – the messiness of the data (just think of Twitter posts with hash tags, abbreviations, typos and colloquial speech)

So, we have a lot of data, in different formats, that is often fast moving and of varying quality – why would that change the world? The reason the world will change is that we now have the technology to bring all of this data together and analyze it.

In the past we had traditional database and analytics tools that couldn’t deal with extremely large, messy, unstructured and fast moving data. Without going into too much detail, we now have software like Hadoop and others which enable us to analyze large, messy and fast moving volumes of structured and unstructured data. It does it by breaking the task up between many different computers (which is a bit like how Google breaks up the computation of its search function). As a consequence of this, companies can now bring together these different and previously inaccessible data sources to generate impressive results. Let’s look at some real examples of how big data is used today to make a difference:

• The FBI is combining data from social media, CCTV cameras, phone calls and texts to track down criminals and predict the next terrorist attack.

• Facebook is using face recognition tools to compare the photos you have up-loaded with those of others to find potential friends of yours (see my post on how Facebook is exploiting your private information using big data tools).

• Politicians are using social media analytics to determine where they have to campaign the hardest to win the next election.

• Video analytics and sensor data of Baseball or Football games is used to improve performance of players and teams. For example, you can now buy a baseball with over 200 sensors in it that will give you detailed feedback on how to improve your game.

• Artists like Lady Gaga are using data of our listening preferences and sequences to determine the most popular playlist for her live gigs.

• Google’s self-driving car is analyzing a gigantic amount of data from sensor and cameras in real time to stay on the road safely.

• The GPS information on where our phone is and how fast it is moving is now used to provide live traffic up-dates.

• Companies are using sentiment analysis of Facebook and Twitter posts to determine and predict sales volume and brand equity.

• Supermarkets are combining their loyalty card data with social media information to detect and leverage changing buying patterns. For example, it is easy for retailers to predict that a woman is pregnant simply based on the changing buying patterns. This allows them to target pregnant women with promotions for baby related goods.

• A hospital unit that looks after premature and sick babies is generating a live steam of every heartbeat. It then analyses the data to identify patterns. Based on the analysis the system can now detect infections 24hrs before the baby would show any visible symptoms, which allows early intervention and treatment.

And these examples are just the beginning. Companies are barely starting to get to grips with the new world of big data. In conclusion then, big data will change the world. In terms of language I prefer to talk about the ‘datafication of the world’ in relation to the ever-growing amounts of data and ‘large-scale analytics’ (or simply ‘analytics’ because what is large now will be normal tomorrow) in relation to our ability to analyze and harness big data.

At the moment I am spending a lot of my time helping companies understand the massive potential as well as big threats of big data. I work with executive teams of companies spanning all sectors and sizes to help them develop strategies to harness big data and find each of these discussions and projects amazingly fascinating because they all open up new opportunities. Here, I would love to hear from you. Do you see opportunities for yourself or your business? Does this new world of big data scare you or excite you? Have you already started harnessing big data? Or have I failed to convince you and do you believe big data is just hype? Please share your views...

Ref: http://www.linkedin.com/today/post/article/20130527063838-64875646-what-the-hell-is-big-data

How Google Search Engine Works?

How Google Search Engine Works?

Ever wondered how Google works? How does it shows the most relevant results when you type in the query? The web has billions of web pages and websites so how the search engine gets us the result within fraction of seconds? Wouldn’t it be interesting to know how it searches for our query from such a huge repository of data? Google came out with a couple of good resources including a infographics and a video by Matt Cutts. So lets get started into world of “How Google works”.

1) Crawling and Indexing

The journey of a query starts before you ever type a search, with crawling and indexing the web of trillions of documents.

Whenever you search for something on internet(web), search engines (eg:Google) send out bots which are kind of algorithmic software to browse through its huge index to search for the most relevant result as per your query. This process is called Crawling.

Google use software known as “web crawlers” to discover publicly available webpages. The most well-known crawler is called “Googlebot.” Crawlers look at webpages and follow links on those pages, much like you would if you were browsing content on the web. They go from link to link and bring data about those webpages back to Google’s servers.  —– Google definition

These crawlers create a copy of the websites that are most relevant to specific keywords (entered by the user). It creates an index of all the web pages relevant to specific keywords to reduce the amount of time if the same query is entered again by some user. This process of indexing sites on basis of keywords is called Indexing.

Google essentially gathers the pages during the crawl process and then creates an index, so we know exactly how to look things up. Much like the index in the back of a book, the Google index includes information about words and their locations. When you search, at the most basic level, our algorithms look up your search terms in the index to find the appropriate pages.

Process

• Google navigates the web by crawling.
• It follows links from page to page.
• Sort the pages by their content and other factors.
• Keep a track of all things in index.

2) Algorithms

You want the answer, not trillions of webpages. Algorithms are computer programs that look for clues to give you back exactly what you want.
For a typical query, there are thousands, if not millions, of webpages with helpful information. Algorithms are the computer processes and formulas that take your questions and turn them into answers. Today Google’s algorithms rely on more than 200 unique signals or “clues” that make it possible to guess what you might really be looking for. These signals include things like the terms on websites, the freshness of content, your region and PageRank.

Process:

• User types a query to search.
• Algorithms get to work looking for clues to better understand what you mean.
• Based on these clues it pulls relevant documents from the index.
• Rank the results based on various factors (like: safe search, site quality, user context etc.)

3) Fighting Spam

Every day, millions of useless spam pages are created. We fight spam through a combination of computer algorithms and manual review.
Spam sites attempt to game their way to the top of search results through techniques like repeating keywords over and over, buying links that pass PageRank or putting invisible text on the screen. This is bad for search because relevant websites get buried, and it’s bad for legitimate website owners because their sites become harder to find. The good news is that Google’s algorithms can detect the vast majority of spam and demote it automatically. For the rest, we have teams who manually review sites.

Google is always looking to fight spam to keep the results as relevant as possible.The majority of spam removal is automatic. Google examines other questionable documents by hand. And if they find spam they take manual action which is followed by a informing to the site owner. So site owners can fix and let Google know.

Conclusion

Overall a great resource from Google for people who are new to this. This gives the very basic idea about how search works. It can be very helpful for people who just want an overview of the process instead of going deep into technicalities.

Ref: http://etechdiary.com/how-google-search-engine-works-get-to-know/

How Google Works

How Google Works

Ref: http://ppcblog.com/how-google-works/

5 Money-Saving Tools for the Cheap Traveler

5 Money-Saving Tools for the Cheap Traveler
Take a look through them below. Are there any must-use tools we missed? Share your favorites with us in the comments!

1. CouchSurfing

CouchSurfing.org is a hospitality sharing platform that's been around since 2003. Its goal is exactly what it sounds like: to set you up with a couch to "crash" on. To use it, you need to register and fill out a basic profile, with your name, location, hobbies, etc. Once your profile's public, you can indicate how many travelers you're willing to accommodate (it's a rule that you need to be open to hosting if you'll be surfing.)
If you're looking to travel out of town for a week — say, to London — you can search the city for hosts who's accommodation information lines up with your request. From there, it's up to you to contact them and set up and time and place to meet.
There are, of course, understandable hesitations about meeting and staying with complete strangers. The website allows users to leave comments on a host's page — generally speaking, then, the more positive comments a user has, the more likely it is that they're trustworthy. But still be cautious and use your best judgment.
Other sites, like Global Freeloaders, Servas and The Hospitality Club are similar to CouchSurfing, just on a lesser-known scale.

2. WorkAway

We told you about WorkAway back in November, but it's worth mentioning again. In short, it's a website that connects you to participants abroad who are willing to provide food and accommodation in return for work. The site's database consists of more than 4,500 participants from 115 countries. The type of work varies — building, gardening and teaching all pop up on the front page — but the understanding is that you'll work four or five days each week, then be free to travel on the weekends. If you find work in a city you'd like to explore, it gives you the opportunity to save on costs while still experiencing both the environment and culture.
3. WWOOF
Similar to WorkAway, the World Wide Opportunities on Organic Farms (WWOOF) is an exchange program that pairs volunteers with hosts in different parts of the world. The niche here is "organic farm," which is where you'll be working. The typical workload consists of 4-6 hours a day for a full day's worth of food and accommodation, so like with WorkAway, there will still be time to travel.

4. HelpX

Similar to the previous two, HelpX is an online platform that connects travelers to hosts willing to provide food and board for work. Locations include farms, bed-and-breakfasts, ranches and hostels, among others.

5. WeHostels

This iPhone app describes itself as a "combination of CouchSurfing and Airbnb." It's free to download, and you can use it to find hostels and book beds at the last minute wherever you're traveling. Once you check in, you can use it to meet other travelers who are staying at the hostel as well.

Ref : http://mashable.com/2013/05/20/traveling-tools/