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It's been the subject of a feature film, a primary topic of a top of the best selling book, a source of endless speculation and analysis (yielding 21 million results on the search "how google hires"), and a holy grail-like quest for some two million hopefuls per year and a heavenly vessel like mission for approximately two million hopefuls for every year.


It's the hiring procedure at Google. 

While the search monster has been known to deploy quirky recruitment tactics, from standards and bulletins blasted with a numerical question meant to tempt engineers or the brainteasers about golf balls or school transports. The recent strategies, conceded Google's head of peoples operations, Laszlo Bock, were "a complete complete waste of time," while the previous didn't net the organization any new hires.

Google now follows a hiring process that is "pretty basic" and follows a traditional trudge along the path through a recruiter, a phone interview, and an onsite interview. Then, it’s up to the candidate to demonstrate her "Googleyness."

Presently Google touts a contracting process that is "really fundamental" and takes after a conventional walk along the way through a selection representative, a telephone meeting, and an on location meeting. At that point, it's up to the contender to exhibit her "Googleyness."

Despite the fact that amazingly specific, it seems like it's much the same as landing a position anyplace else. But that Google isn't continually depending on selection representatives to discover awesome individuals. Notwithstanding for individuals like Max Rosett, a Yale graduate with an mathematics degree and work experience at a respected global management firm.

In an article for The Hustle, Rosett discovered that Google has a secret hiring process that draws candidates through—what else—their search history, before they even reach out to a recruiter.

Rosett, formerly a management consultant with the Boston Consulting Group, was switching careers to computer engineering. Though he was earning a master's degree, he writes that he didn’t feel ready to apply for a full-time software role.

In the midst of a project, Rosett Googled a phrase that first brought back the familiar page of results but then brought up a conversation box that said, "You’re speaking our language. Up for a challenge?"


Navigating the Rosett into another site "foo.bar" where he continued to take after prompts that drove him through a programming test he had 48 hours to finish. Once coded, he got another until he finished six through the span of two weeks. As of right now, Rosett was requested that give his contact data. A couple of days after the fact, a Google selection representative called, and, Rosett composes, "starting here my experience was really run of the mill. The main distinction is that I didn't have to experience a specialized telephone screen since I had effectively exhibited some capability with coding through the foo.bar works out."


He was in the long run requested to come out to headquarter to take care of yet more issues on a whiteboard. Rosett was offered a job. The whole process from welcome to offer took an aggregate of three months.

"Foo.bar is a splendid selecting strategy," he says. "Google utilized it to distinguish me before I had even connected anyplace else, and they made me feel essential at the same time. In the meantime, they regarded my protection and didn't contact me without expressly asking for my data."

Rosett’s experience proves that Google is continuing to evolve to improve its talent pipeline. But the behemoth is simply tapping recent innovations and leveraging its own wealth of data.

For example, according to comScore, Google commands the market for desktop searches in the U.S. at both home and work, with 64% of the share. In comScore’s survey of job seekers, 10.9 million workers searched for jobs on Google via their mobile devices in August 2013, the most recent year analyzed. Why wouldn’t Google want to tap into some of that search frenzy?

As indicated by his post, Rosett hasn't really turned into a "noogler" (new Google employee) yet. Time will tell whether Google will offer the sort of "astonishing long haul employee experience" that Poachable author Tom Leung says is the way to holding incredible ability.
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This is How Google Hires Engineers

By Himal Baral →
A billion clients. This is what "cool" is. 
Setting another development in online networking integration, one billion individuals from around the globe signed on to Facebook in a solitary day, the most elevated steadily, as indicated by organization author Mark Zuckerberg.

"We simply passed a critical development. Surprisingly, one billion individuals utilized Facebook as a part of a solitary day," Zuckerberg posted on Facebook yesterday.

The California-based interpersonal interaction titan bragged of the new benchmark which was determined to Monday.

"On Monday, 1 in 7 individuals on Earth utilized Facebook to associate with their loved ones," the Facebook CEO said.

"Our group remains for giving each individual a voice, for advancing comprehension and for incorporating everybody in the chances of our present day world," he said.


"A more transparent world is a superior world. 'It carries more grounded associations with those you cherish, a more grounded economy with more open doors, and a more grounded society that mirrors the greater part of our qualities," composed Zuckerberg.

"Much obliged to you for being a piece of our group and for all that you've done to help us achieve this development. I'm anticipating seeing what we finish together," he said.

Facebook has almost 1.5 billion clients who sign in at any rate once every month, except this was the most in a solitary day.

The organization picked up its billionth client in October 2012.

In his post, Zuckerberg, 31, anticipated that Facebook's scope would keep on growing.

"This was the first occasion when we came to this breakthrough, and it's simply the start of uniting the entire world," he composed.

In July, Facebook asserted that over 50% of the world's online clients went by the webpage at any rate once every month.

Since Zuckerberg made Facebook in his Harvard Dorm room in 2004, the interpersonal organization firm has turned into the second most trafficked site all inclusive.

For Zuckerberg, it's a minute to celebrate, however the Facebook author doesn't speak the truth to lay on his trees at any point in the near future.

"This was the first occasion when we came to this point of reference, and it's simply the start of uniting the entire world," he composed.

The most recent point of reference comes after Facebook in Oct. 2012 formally crossed the 1 billion client mark. In April 2014, the organization had another point of interest to celebrate — one billion month to month dynamic clients. Presently it's figured out how to draw in one billion individuals in a solitary day.

"I'm so glad for our group for the advancement we've made," Zuckerberg composed. "Our group remains for giving each individual a voice, for advancing comprehension and for incorporating everybody in the chances of our present day world."

In the interim, Facebook now has its sights on bringing the Internet "to the following 5 billion individuals" with Internet.org, an activity Zuckerberg reported in 2013. Before the year's over, around 3.2 billion individuals around the globe are relied upon to be on the web, however 4 billion are still without access.
Image Source: Wikipedia

A billion clients in a Day

By Shristi Baral →
Machine are learning so many ways for computing, but who's teaching them ?  Computer systems only get smarter when they get data – from where and from whom they get that data is critical. Machine learning researchers have focused on how they can build strong, better, faster and more precise algorithm. But what the scientists actually do ? What machines really need is to be trained by experts in every field of human endeavor.




What is machine learning?

Machine learning is all about getting computers to take the initiative without input from humans. They do this by statistical learning after identifying patterns in data.

While the fundamental idea of machine learning is extremely straightforward, its execution is muddled. "Because of machine learning , your email inbox is for the most part free of spam and other undesirable email, and your cell phone can always enhance its comprehension of what your own needs are in light of what you say and do," writes Microsoft, additionally referring to the ongoing voice interpretation found in the up and coming Skype Translator and Cortana, and also Bing.


Artificial intelligence

Regular cases of machine learning incorporate search engines ranking web pages, your phone creating a guide of where you've been utilizing geo-label data from the photographs you've taken, computerized spam filters, spell remedy in word handling software,, face acknowledgment in cameras, speech recognition by all virtual personal assistants, and all kinds of recommendations while shopping, browsing the web or streaming music or movies. Its next destination is the connected car.

"Machine learning has turned into a hot territory inside of software engineering lately," says Curran, who name-checks autopilot and the magnificent gyroscope ability of Segways as places where machine learning algorithms are running.  In fact, many large computing giants are spending on big salaries to attract those with machine learning experience.


When Machine Learning goes wrong ?
ML/AI doesnot always work. Take example of Uber, which has an algorithm that responds to high demand by raising the price. This makes very good business under normal conditions but quadrupling the price of a taxi during a siege really the kind of thing a human-run business – aware of the public relations implications – would ever do?

Ubers's and others algorithms needs some human-like morality in the form of a specific model that relates to real-world scenarios, not just the basic number-crunching of a data scientist.  The habit of Ditto Siri relying on keywords, thus replying to calls for help with alcohol and gambling with details of nearby off-licences and casinos. A business knowingly doing that would be called psychotic.



Machine learning for the masses?

Its the time for data scientists and machine learning experts to get out of the way. Microsoft Research wants to widen the field of people who can create, teach and maintain computer models.
Curan added "Normal non-techies could potentially be 'teaching' machines in the near future, but the reality is more likely that they will be using bespoke highly tailored niche computer applications which are tailored to certain vertical markets that help these people 'teach' machines". That still means capturing the as yet untapped 'analogue' expertise of millions of high-levels experts, academics, and others.

Machine Learning: Beyond Data Scientists

By Himal Baral →

Why Google and Larry Page created their own Alphabet

By Ken Blogs →
Bunch of youthful security companies are attempting to benefit by moving toward security platform that help them react all the more immediately when they endure effective cyber-attacks with expectations of restricting the harm they do.

These organizations take differing ways to deal with cyber security, including investigating suspected assaults, robotizing reactions, encoding to make information robbery more troublesome, and sorting through alerts triggered by other security platforms to help prioritize responses.



These new businesses are furrowing prolific ground, with corporate clients avid to dodge damaging assaults that can hurt their image names. In the meantime clients are battling continually innovative enemies whose endeavors require new protective methodologies.


IT leaders saying their spending on security this year will show double-digit increases while at the same time overall IT spending increases only 4.3% - so security is definitely a priority. In fact it has been for the past 10 years, Computerworld says, getting double-digit boosts in each year.

Here are 10 Youthful Securitues Companies:


Illumio

Headquarters: Sunnyvale, Calif.              

Founded: 2013

Funding:  $42.5 million from Andreessen Horowitz, General Catalyst, Formation 8, Data Collective, Salesforce CEO Marc Benioff and Yahoo co-founder Jerry Yang.

Leaders: CEO Andrew Rubin, CTO PJ Kirner

Fun fact: John Thompson, Microsoft’s chairman, sits on Illumio’s board.

Illumio’s Adaptive Security Platform makes policies about what port of system can talk to other  ports on what other machines in order to limit that damage a compromised machine can do by limiting what it is capable of doing.



LightCyber

Headquarters: Ramat Gan, Israel, and Los Altos, Calif.

Founded: 2011

Funding: $12.5 million from Battery Ventures and Glilot Capital Partners

Leaders: CEO Gonen Fink, Chief Product Officer Giora Engel, CTO Michael Mumcuoglu

Fun fact: Founders Engel and Mumcuoglu served in the Israeli Defense Force

LightCyber’s Magna Breach Detection Platform gives userless monitoring and analysis of endpoint machines as it looks for signs of possible intrusions and kicks out all possible by prioritizing and greatly reducing the number of incidents that have to be checked out by human analysts.



Outlier Security

Headquarters: Zephyr Cove, Nev.

Founded: 2012

Funding: Self-funded

Leaders: CEO Greg Hoglund

Fun fact: The company name comes from its algorithms that look for events that are statistical outliers.


Its tool respond to compromises more quickly, making the analysts more efficient.



PFP Cybersecurity

Headquarters: Vienna, Va.

Founded: 2010

Funding: $1 million from Blu Venture Investors and CIT GAP Fund.

Leaders: Executive Chairman Steven Chen, President Jeffrey H. Reed, CTO Carlos R. Aguayo

Fun fact: The technology comes from research at Virginia Tech funded by the Department of Defense, the Defense Advanced Research Projects Agency, and the Department of Homeland Security that sought a way to identify whether software-defined radios have unauthorized software running on them.

Its system monitors CPUs to establish baseline radio-frequency activity when devices are known to be performing legitimate tasks. Its analysis engine can detect anomalies from that baseline that indicate the device is running unauthorized processes that could indicate a breach.


Resolution1 Security

Headquarters: Menlo Park

Founded: 2014

Funding: Resolution1 Security is a spinout from AccessData Group.

Leaders: CEO Brian Karney, President and COO Craig Carpenter

Fun fact: Chief Security Office Justin Harvey has worked for successful security vendors - FireEye/Mandiant and Hewlett-Packard/ArcSight

By their system one can identify and verify malicious behavior then automate the resolution workflow. It integrates with third-party security systems to validate alerts they send in order to reduce the number of false-positives security teams have to chase down.


Secure Channels

Headquarters: Irvine, Calif.

Founded: 2011

Funding: Private                                            

Leaders: CEO Richard Blech, CTO Robert Coleridge

Fun fact: The company says a supercomputer making 19 quadrillion calculations per second would have to work for about 30 times the age of the universe to crack its encryption.

It allows flexibly encryption parameters that give customers great leeway in determining the strength and complexity of the encryption. Secure Channels’ encryption for data at rest or data in motion quickly breaks it in to varying sized chunks and encrypts each chunk with its own key.




Sentrix

Headquarters: Waltham, Mass., and Kfar Neter, Israel

Founded: 2011

Funding: $6 million Magma Venture Partners and Cedar Fund

Leaders: CEO Ofer Wolf, co-founders Israel Barak (GM Sentrix Americas) and Nimrod Luria (CTO)

Fun fact: The company started life under the name Foresight.

Sentrix mirrors customers’ Web sites in Amazon Web Services and Azure clouds where it dynamically expands site resources during distributed denial-of-service attacks to keep the sites running until attackers exhaust their resources, give up or move on to easier targets.



Swimlane

Headquarters: Tempe, Ariz.

Founded: 2014

Funding: Private

Leaders: CEO Cody Cornell and COO Brian Kafenbaum

Fun fact: The name Swimlane comes from a term used in security operations centers meaning a person’s area of responsibility.

Swimlane makes it simpler to gather data from its customers’ various security platforms, evaluate alerts and automate responses and puts all this in the context of faster response time and saving money.



Tempered Networks

Headquarters: Seattle

Founded: 2014

Funding: $15 million from Ignition Partners and IDG Ventures plus $7 million from angels

Leaders: President and CEO Jeff Hussey (founder of F5 Networks), CTO David Mattes

Fun fact: Tempered’s technology stems from a project at Boeing to secure its manufacturing systems.

Tempered’s appliances can create multiple overlay networks within existing network infrastructure, securing traffic in each from all the others, giving businesses the capability to isolate sensitive devices from the Internet.



TrustPipe

Headquarters: Healdsburg, Calif.

Founded: 2011

Funding: Private                            

Leaders: CEO Ridgely Evers, Chief Scientist Kanen Flowers

Fun fact: Evers and Flowers have worked together three times before at nCircle, kozoru and Inquisit.

The company uses patented technology to create lightweight malware markers called behavior expressions that can detect all known attacks using a relatively small library of these markers as opposed to traditional signature libraries.



Thats all on Top 10 Startup on Cyber Security And Why They Are For....

Top 10 Startup on Cyber Security And Why They Are For

By Himal Baral →

IBM to Buy Merge Healthcare in $1 billion

By Ken Blogs →

How Big Tech Companies Got their Name?

By Ken Blogs →
Online shopping market continues to grow larger and larger with development in technology, access of internet, and lucrative life of prefer. A number of companies both large and small embrace the advantages of combining brick-and-mortar locations and supplemental Internet-based storefronts to meet the needs of the vast majority of consumers.

However the two Amazon and Alibaba have become notable players in the market by operating through an online presence alone and they are both are going unbeatable. But they both have totally different features and module. Amazon is a massive retailer for both new and used goods, and Alibaba operates as a middleman between buyers and sellers.




Alibaba Vs. Amazon: The Business Model

AMAZON'S BUSINESS MODEL

As the largest retailer in the world, Amazon sells goods directly. A percentage of products are offered to buyers through Amazon's online storefront with a small markup, and inventory is kept in the company's large network of warehouses. Most consumers visit the company's site assuming its products are less expensive and readily available for purchase and shipping.

Plus Amazon provides retailers to sell products too. Amazon maintains subscription-based business model through its Amazon Prime service as well as a small electronics product line. Customers pay annual fee to secure free two-day or same-day shipping on eligible items and have access to streaming media, such as digital music or movies. Amazon also collects huge revenue from selling its e-reader, the Kindle, and the e-book and mobile application purchases offered to Kindle owners.


ALIBABA'S BUSINESS MODEL

If Amazon if for Americans, Alibaba is for Chinese. Chinese eCommerce market is totally under control of Alibaba. Though the company operates through a unique combination of business models, Alibaba's core business resembles that of eBay. Acting as middleman between seller and buyer and facilitates the sale of goods between the two parties through its extensive network of websites.

In addition to its e-commerce sites, Alibaba has emerged as a competitor in the Chinese financial system. To combat customer concerns over the security and validity of transactions completed online, Alibaba created Alipay. As a secure payment system, Alipay protects buyers in the event sellers are unable or refuse to deliver goods sold.

Alibaba also generates revenue from its newly launched micro-lending business arm that caters to individual borrowers.



Alibaba Vs. Amazon: The Crowd Way
According to info-graphics by ParcelHero, Amazon ships 3 million packages everyday while Alibaba does it 4X i.e. 12 million. Another interesting factoid: On Cyber Monday, America’s great eCommerce shopping day, Amazon processed 37 million orders. On Singles Day, an annual shopping holiday in China created by Alibaba itself, Alibaba processed 278 million orders.

Of course AliBaba is the greatest. It has very huge customer base: 1.4 billion people living in China, compared to 319 million in the U.S. But if revenue is considered Amazon is at top. Last year, Jeff Bezos’ company raked in almost $89 billion in sales and Jack Ma’s eCommerce platform took in a bit over $12 billion.


International Market

Amazon covers 60% of all of its from North America, and thus only 40% from the international level.
Alibaba is more localized and dependent. Its 84% support is from China and rest 16% is International market.

But the better track record of expanding outside their home market?  It’s definitely Amazon.

There’s been lots of talk about how Amazon should fear the entrance of Alibaba into the U.S. market – and it will definitely be interesting to see how that plays out.
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Amazon Vs. Alibaba: Business Model and Crowdway

By Himal Baral →

Is One Plus 2 better than One Plus One?

By Ken Blogs →

Top Three Priorities of Microsoft Unveiled

By Ken Blogs →