Monthly Archives: December 2017

Year in Search: The most fantastic fads of 2017

Here today, gone tomorrow. Our annual Year in Search is always a fun look back at the fads that captured our fancy and then fizzled out fast. See what this year’s biggest crazes were, through the lens of Google Search:


Unicorn everything

The unofficial mascot of 2017 was the unicorn—the magical creature that had the internet abuzz. While we may have reached peak Unicorn with Starbucks’ Unicorn Frappuccino, the craze didn’t stop there. People gave a unicorn twist to all kinds of foods and searched for unicorn cake, unicorn hot chocolate, unicorn cheesecake and unicorn lemonade. While this colorful trend spanned the globe, the most searches came from the cities of San Francisco, New York, London and Bengaluru. Those who jumped on the unicorn food train were likely responsible for making “How many calories are in a Unicorn Frappuccino?” the number one trending calorie-related query.


fads YIS

Slimy searches

Slime also had a very big year: “How to make slime?” was the number one globally trending “how to make” question of 2017. We wanted to know how to make slime of all types: fluffy, butter, stretchy, jiggly, cloud, clear and glow-in-the-dark. But as our slimy obsession grew, so did its mess. “How to get slime out of carpet?” made its way to one of the 100 globally trending “How to” questions of the year.


The dog days aren’t over

While unicorns and slime may be have had their five minutes of fame, some internet loves last forever—like our collective adoration of cute creatures. This year’s most searched celebrity animal was April, the mama giraffe that gained worldwide fame after a live video stream of her pregnancy. April’s moment in the spotlight had the question “How long are giraffes pregnant for?” trending in Alaska. Next up in top-searched celebrity animals was Fiona, the premature baby hippo, followed by Marnie, the Instagram-famous senior rescue dog.


Meme, myself and I

From a dancing hot dog to a distracted boyfriend, the viral images that graced our feeds brought comedic relief, heavy doses of sarcasm and unending creativity to the internet. According to search data, the five most trending memes of 2017 were: “Cash Me Outside,” “United Airlines,” “Elf on the Shelf,” “What in Tarnation?” and “Mocking SpongeBob” as people sought to get in on the joke.


Say what?

It’s not just memes—the internet has a language all its own that can leave people asking “huh?”. Thankfully, the internet is also a helpful tool to quickly decode the latest slang. Trending acronyms we had to look up this year included WCW (woman crush wednesday), TFW (that feeling when), STG (swear to God), GOAT (greatest of all time), and OFC (of course). And from “what does despacito mean?” to “what does bodak yellow mean?” to “What does bibia be ye ye mean?”, we searched for the meanings of popular songs—then got back to the dance floor.


And those are the wacky, weird and unexpected searches of 2017. Who knows what 2018 will bring? ¯\_(ツ)_/¯


Source: Search


Year in Search: The most fantastic fads of 2017

Here today, gone tomorrow. Our annual Year in Search is always a fun look back at the fads that captured our fancy and then fizzled out fast. See what this year’s biggest crazes were, through the lens of Google Search:


Unicorn everything

The unofficial mascot of 2017 was the unicorn—the magical creature that had the internet abuzz. While we may have reached peak Unicorn with Starbucks’ Unicorn Frappuccino, the craze didn’t stop there. People gave a unicorn twist to all kinds of foods and searched for unicorn cake, unicorn hot chocolate, unicorn cheesecake and unicorn lemonade. While this colorful trend spanned the globe, the most searches came from the cities of San Francisco, New York, London and Bengaluru. Those who jumped on the unicorn food train were likely responsible for making “How many calories are in a Unicorn Frappuccino?” the number one trending calorie-related query.


fads YIS

Slimy searches

Slime also had a very big year: “How to make slime?” was the number one globally trending “how to make” question of 2017. We wanted to know how to make slime of all types: fluffy, butter, stretchy, jiggly, cloud, clear and glow-in-the-dark. But as our slimy obsession grew, so did its mess. “How to get slime out of carpet?” made its way to one of the 100 globally trending “How to” questions of the year.


The dog days aren’t over

While unicorns and slime may be have had their five minutes of fame, some internet loves last forever—like our collective adoration of cute creatures. This year’s most searched celebrity animal was April, the mama giraffe that gained worldwide fame after a live video stream of her pregnancy. April’s moment in the spotlight had the question “How long are giraffes pregnant for?” trending in Alaska. Next up in top-searched celebrity animals was Fiona, the premature baby hippo, followed by Marnie, the Instagram-famous senior rescue dog.


Meme, myself and I

From a dancing hot dog to a distracted boyfriend, the viral images that graced our feeds brought comedic relief, heavy doses of sarcasm and unending creativity to the internet. According to search data, the five most trending memes of 2017 were: “Cash Me Outside,” “United Airlines,” “Elf on the Shelf,” “What in Tarnation?” and “Mocking SpongeBob” as people sought to get in on the joke.


Say what?

It’s not just memes—the internet has a language all its own that can leave people asking “huh?”. Thankfully, the internet is also a helpful tool to quickly decode the latest slang. Trending acronyms we had to look up this year included WCW (woman crush wednesday), TFW (that feeling when), STG (swear to God), GOAT (greatest of all time), and OFC (of course). And from “what does despacito mean?” to “what does bodak yellow mean?” to “What does bibia be ye ye mean?”, we searched for the meanings of popular songs—then got back to the dance floor.


And those are the wacky, weird and unexpected searches of 2017. Who knows what 2018 will bring? ¯\_(ツ)_/¯


A look back at the most read Google Play posts on Medium in 2017

Posted by Sergejs Cuhrajs, Community Manager, Google Play

Earlier this year we launched the Google Play Apps & Games publication on Medium to help developers discover best practices and insights to grow successful apps and games businesses on Google Play. As we draw closer to the end of the year we thought it's a good time to revisit some of our most popular posts according to you – our readers.

It's clear that many of you are excited by the potential of new technology, such as Virtual Reality (VR) and Augmented Reality (AR), and how it could enhance user interaction with your apps and games. You're also concerned with everyday issues including how to keep your APK size manageable, how to acquire new users, and how to monetize games without pushing away your players.

So without further adieu, here's the list of the top 10:

  1. Applying human-centered design to emerging technologies
    (by By Peter Hyer, Fabian Herrmann, and Kristin Kelly, 7 min read)
    VR, AR, and digital assistant present exciting opportunities for the future, but how can we ensure we're designing for what people really want?
  2. Shrinking APKs, growing installs
    (by Sam Tolomei, 6 min read)
    Smaller APK sizes correlate with higher install conversion rate on Google Play - we share tips for keeping your apps lean.
  3. Who plays mobile games?
    (by Allen Bevans, UX Researcher at Google, 6 min read)
    Four actionable insights for game developers based on our research into different player segments.
  4. Why the first ten minutes are crucial if you want to keep players coming back
    (by Adam Carpenter, 7 min read)
    How to analyze your retention data so you can keep players coming back again and again.
  5. Design your app for decision-making
    (by Jeni Fisher, 10 min read)
    Useful tips and strategies for encouraging desired user behavior in your apps. Also check out follow-up posts on boosting motivation through app rewards, and common pitfalls of persuasive app design.
  6. Predicting your app's monetization future
    (by Ignacio Monereo, 10 min read)
    Learn about predictive analytics and calculating your apps lifetime value (LTV) to gain practical insight into the future of your app. In the second part Ignacio shares how to calculate LTV based on five popular monetization models.
  7. Five tips to improve your games-as-a-service monetization
    (by Moonlit Beshimov, 9 min read)
    5 proven strategies to improve your game revenue without driving players away.
  8. An introduction to in-app A/B testing
    (by Gavin Kinghall Were, 13 min read)
    Learn how in-app A/B testing can drive insight into your app's future design and development, and maximise its performance.
  9. Taking the guesswork out of paid user acquisition
    (by David Yin, 8 min read)
    A simple tool to help you estimate lifetime value (LTV) of your users and what to spend to grow your audience.
  10. Rethinking interface assumptions in AR: selecting objects
    (by Aaron Cammarata, 8 min read)
    In this article for beginner AR developers we explore one of the most fundamental user interface actions: object selection.

Do you have suggestions for topics we should tackle in 2018? Let us know by tweeting with the hashtag #AskPlayDev and we'll reply from @GooglePlayDev, where we regularly share news and tips on how to be successful on Google Play.

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My Path to Google: Ashley Shields, Inside Sales Representative

Welcome to the 16th installment of our blog series “My Path to Google.” These are real stories from Googlers, interns, and alumni highlighting how they got to Google, what their roles are like, and even some tips on how to prepare for interviews.

Today’s post is all about Ashley Shields. Read on!




Can you tell us a bit about yourself?
I grew up in San Diego, California, and I’ve called Austin, Texas, my home for the past four years. I attended Northern Arizona University and studied Business with an emphasis in Hotel and Restaurant Management. After graduation (before coming over to Google), I was on the sales team that opened the largest JW Marriott in North America.
I love staying active in my free time. Austin is a great place to be active, as it has endless trails and a bounty of entertainment. I’m an avid tennis player and participate in local fitness competitions in Austin. I’m also a huge fan of stand-up comedy and concerts. Austin has a ton of unique venues for both, which makes it the ideal city to live in.
Fun facts: I love going to the dentist. I once bought Nick Jonas dinner. I have been featured on two billboards.

What’s your role at Google?
I am currently an Inside Sales Representative for the Google Cloud team covering the Central Florida region. I help identify business needs within a company, and work with our team to create custom IT solutions using the Google Cloud Platform—I’m very passionate about helping customers develop ideas that will grow their businesses and save them money to reinvest in their company and spur customer growth.
My team is based in the Austin office, but I work virtually with my Central Florida teammates (based out of Florida and Atlanta). We use our collaboration toolset, G Suite, to ensure a great customer experience as if we are all sitting together in one office!
Being here is great because Google allows their employees to work on a lot of cool projects; one that I’m passionate about is the culture committee for our Cloud Team in Austin. My favorite project was the Google Gives week, where different types of charities are highlighted every day for a week—it’s an awesome way to give back to such an incredible city. We even raised $4,000 in one day to support a local Austin charity!
Another great project I was able to work on was event planning for the Google Cloud team. I loved being able to work cross-functionally with the marketing team to put on local Cloud events, helping educate current and future customers on the power of Google Cloud. It’s an amazing feeling to see my ideas come to life, as I was able to create and execute events to drive new and current customer business.

What inspires you to come in every day?

There are two important aspects of Google that inspire me to come to work everyday: 1) the people, and 2) the passion. As you can imagine, the people at Google are some of the most brilliant I’ve worked with, and partnering with these individuals every day is a dream! The ideas and teamwork produced in the office are incredible.
Because people are happy to be working here, you are able to thrive off of the positive energy of others. Every day brings something different and exciting, whether it’s a morning meeting, a trip to the micro kitchen or a coffee break at the cafe, you really never tire of the environment. I also get to work with people from all around the world, and I think we really come together when we work towards the common goal of “organizing the world's information and making it universally accessible and useful.”
Right now, I am working on a training program for the new Enterprise Customer Development (ECD) role. The Googlers in this role will be focused on growing and expanding the enterprise business of Google Cloud. Field Sales reps, like myself, will partner with ECDs to research business leads, open up new opportunities for the Google Cloud platform, schedule client meetings, and identify prospects for potential Cloud engagement. Having this brand new role on our team is really exciting, and I’m glad I get to be a part of building out the training curriculum.


Can you tell us about your decision to enter the process?
Google always seemed to be the most incredible place to work — I remember reading articles on Google’s innovative approach to all the different businesses they were looking to enhance. Needless to say I was a bit intimidated when applying because I was so new to the workforce (I only had about a year of experience post graduation).


How did the recruitment process go for you?
The recruitment process was smooth!
My path to Google was a little unique, as I was referred into the company by a former coworker. When I first started with Google, I worked as a contractor for Google Fiber in the early stages as we were beginning to build out the Fiber business. After a year of being a contractor, I was lucky enough to be converted into a full-time position, leading the inside sales team for the Atlanta region.

What do you wish you’d known when you started the process?
My advice to anyone going through the recruitment process is be patient and don’t overthink. Google has come up with a great workflow for hiring the best candidates. The recruiters are working with various teams and candidates, so if they don’t get back to you the second after you send a follow-up email, don’t stress. Once you’ve completed the interview process, just relax and be proud of your accomplishment thus far.
One key thing that I didn’t know at first was that Google is always changing — we have to; that’s what makes us the best at what we do.

Can you tell us about the resources you used to prepare for your interview or role?
Since I was already in previous sales roles, product knowledge and technical preparation was where I focused for my new role on Cloud. Current market research was key—Gartner was a great resource to learn about how the market and our customers viewed Google Cloud, as well as the competition within the Cloud world. For this new Enterprise Customer Development role, technical knowledge of Cloud isn’t required (but is recommended!).
YouTube was also a great resource, from NEXT presentations to quick videos on teams learning “how do I spin up a VM in the cloud.”
My advice for someone new coming to technical sales is to be confident. You’ve most likely been selling your whole life, you just might not be aware of it. The technical aspect of the sales position will come with exposure to different solutions and use cases.

Do you have any tips you’d like to share with aspiring Googlers?
Always bring your best self to the workplace: be present, be engaging, and have fun! If you get a job at Google, they hired you because you displayed great ability to make a difference. This means the possibilities for growth, education, and impact are endless. Be proud of all the accomplishments that brought you to becoming a Googler, and continue to make an impact with all the opportunities that will come your way.



Interested in the Enterprise Customer Development role? Apply now!

Extending domain opt-out and AdWords API tools

In 2012, Google made voluntary commitments to the Federal Trade Commission (FTC) that are set to expire on December 27th, 2017. At that time, we agreed to remove certain clauses from our AdWords API Terms and Conditions. We also agreed to provide a mechanism for websites to opt out of the display of their crawled content on certain Google web pages linked to google.com in the United States on a domain-by-domain basis.  

We believe that these policies provide continued flexibility for developers and websites, and we will be continuing our current practices regarding the AdWords API Terms and Conditions and the domain-by-domain opt-out following the expiration of the voluntary commitments. Additional information can be found here:

Extending domain opt-out and AdWords API tools

In 2012, Google made voluntary commitments to the Federal Trade Commission (FTC) that are set to expire on December 27th, 2017. At that time, we agreed to remove certain clauses from our AdWords API Terms and Conditions. We also agreed to provide a mechanism for websites to opt out of the display of their crawled content on certain Google web pages linked to google.com in the United States on a domain-by-domain basis.  

We believe that these policies provide continued flexibility for developers and websites, and we will be continuing our current practices regarding the AdWords API Terms and Conditions and the domain-by-domain opt-out following the expiration of the voluntary commitments. Additional information can be found here:

What a year! Google Cloud Platform in 2017



The end of the year is a time for reflection . . . and making lists. As 2017 comes to a close, we thought we’d review some of the most memorable Google Cloud Platform (GCP) product announcements, white papers and how-tos, as judged by popularity with our readership.

As we pulled the data for this post, some definite themes emerged about your interests when it comes to GCP:
  1. You love to hear about advanced infrastructure: CPUs, GPUs, TPUs, better network plumbing and more regions. 
  2.  How we harden our infrastructure is endlessly interesting to you, as are tips about how to use our security services. 
  3.  Open source is always a crowd-pleaser, particularly if it presents a cloud-native solution to an age-old problem. 
  4.  You’re inspired by Google innovation — unique technologies that we developed to address internal, Google-scale problems. So, without further ado, we present to you the most-read stories of 2017.

Cutting-edge infrastructure

If you subscribe to the “bigger is always better” theory of cloud infrastructure, then you were a happy camper this year. Early in 2017, we announced that GCP would be the first cloud provider to offer Intel Skylake architecture, GPUs for Compute Engine and Cloud Machine Learning became generally available and Shazam talked about why cloud GPUs made sense for them. In the spring, you devoured a piece on the performance of TPUs, and another about the then-largest cloud-based compute cluster. We announced yet more new GPU models and topping it all off, Compute Engine began offering machine types with a whopping 96 vCPUs and 624GB of memory.

It wasn’t just our chip offerings that grabbed your attention — you were pretty jazzed about Google Cloud network infrastructure too. You read deep dives about Espresso, our peering-edge architecture, TCP BBR congestion control and improved Compute Engine latency with Andromeda 2.1. You also dug stories about new networking features: Dedicated Interconnect, Network Service Tiers and GCP’s unique take on sneakernet: Transfer Appliance.

What’s the use of great infrastructure without somewhere to put it? 2017 was also a year of major geographic expansion. We started out the year with six regions, and ended it with 13, adding Northern Virginia, Singapore, Sydney, London, Germany, Sao Paolo and Mumbai. This was also the year that we shed our Earthly shackles, and expanded to Mars ;)

Security above all


Google has historically gone to great lengths to secure our infrastructure, and this was the year we discussed some of those advanced techniques in our popular Security in plaintext series. Among them: 7 ways we harden our KVM hypervisor, Fuzzing PCI Express and Titan in depth.

You also grooved on new GCP security services: Cloud Key Management and managed SSL certificates for App Engine applications. Finally, you took heart in a white paper on how to implement BeyondCorp as a more secure alternative to VPN, and support for the European GDPR data protection laws across GCP.

Open, hybrid development


When you think about GCP and open source, Kubernetes springs to mind. We open-sourced the container management platform back in 2014, but this year we showed that GCP is an optimal place to run it. It’s consistently among the first cloud services to run the latest version (most recently, Kubernetes 1.8) and comes with advanced management features out of the box. And as of this fall, it’s certified as a conformant Kubernetes distribution, complete with a new name: Google Kubernetes Engine.

Part of Kubernetes’ draw is as a platform-agnostic stepping stone to the cloud. Accordingly, many of you flocked to stories about Kubernetes and containers in hybrid scenarios. Think Pivotal Container Service and Kubernetes’ role in our new partnership with Cisco. The developers among you were smitten with Cloud Container Builder, a stand-alone tool for building container images, regardless of where you deploy them.

But our open source efforts aren’t limited to Kubernetes — we also made significant contributions to Spinnaker 1.0, and helped launch the Istio and Grafeas projects. You ate up our "Partnering on open source" series, featuring the likes of HashiCorp, Chef, Ansible and Puppet. Availability-minded developers loved our Customer Reliability Engineering (CRE) team’s missive on release canaries, and with API design: Choosing between names and identifiers in URLs, our Apigee team showed them a nifty way to have their proverbial cake and eat it too.

Google innovation


In distributed database circles, Google’s Spanner is legendary, so many of you were delighted when we announced Cloud Spanner and a discussion of how it defies the CAP Theorem. Having a scalable database that offers strong consistency and great performance seemed to really change your conception of what’s possible — as did Cloud IoT Core, our platform for connecting and managing “things” at scale. CREs, meanwhile, showed you the Google way to handle an incident.

2017 was also the year machine learning became accessible. For those of you with large datasets, we showed you how to use Cloud Dataprep, Dataflow, and BigQuery to clean up and organize unstructured data. It turns out you don’t need a PhD to learn to use TensorFlow, and for visual learners, we explained how to visualize a variety of neural net architectures with TensorFlow Playground. One Google Developer Advocate even taught his middle-school son TensorFlow and basic linear algebra, as applied to a game of rock-paper-scissors.

Natural language processing also became a mainstay of machine learning-based applications; here, we highlighted with a lighthearted and relatable example. We launched the Video Intelligence API and showed how Cloud Machine Learning Engine simplifies the process of training a custom object detector. And the makers among you really went for a post that shows you how to add machine learning to your IoT projects with Google AIY Voice Kit. Talk about accessible!

Lastly, we want to thank all our customers, partners and readers for your continued loyalty and support this year, and wish you a peaceful, joyful, holiday season. And be sure to rest up and visit us again Next year. Because if you thought we had a lot to say in 2017, well, hold onto your hats.

NAB 2017: How AI is remaking Hollywood

Greetings from Las Vegas, where the National Association of Broadcasters is having its annual conference. At NAB, 1,700 exhibitors and more than 100,000 attendees take over the Las Vegas Convention Center, representing a dozen industries including TV, movies, radio — and now, virtual reality.

And everybody here agrees. This is a big year for media.

Media/entertainment and cloud technologies are coming together. This changes the economics of the business, the ways people make and distribute content and how they relate to their audience. As the NAB put it introducing this year’s show, “It’s redesigning the very nature of how we live, work and play.”

Large-scale computing systems, next gen software and ubiquitous networks simplify and enable the recording, editing and transmission of content to billions of personal devices. Companies now broadcast more content than ever, in a direct relationship with each audience member. The quality of this relationship relies heavily on the seamlessness and personalization of the experience. The cost benefits and ease of use of the cloud-based model is driving change in all aspects of the business.

NAB-gif2

As president of the customer team at Google Cloud, this is a familiar and exciting story. In media, our customers are seeing cost and time to market reductions of 90 percent or better, with substantial performance improvements, by taking advantage of Google Cloud. Spotify, has seen up to 35x improvement in analytic performance, allowing them to greatly improve their personalization experience. For example, on-premises, their algorithms to identify top tracks took five hours; on BigQuery in Google Cloud it takes eight minutes.

Lead VFX studio on Disney's The Jungle Book, MPC artists built a complex photo-real world

Scripps Networks Interactive saw its livestream TV Everywhere video plays grow by 844 percent in 2016. 

NAB-scripps

They use the cloud to not only run their multiscreen video experiences on mobile and connected devices, but also deliver personalized ads targeted to each and every user.

What excites me most is not simply that our customers have new ways to create, personalize or monetize their content, or that they have a new level of agility in their business, with storage and network charges below what they're paying just for the real estate where they keep their own servers.

These are both important, but most exciting is the way their digital assets are, like all data-rich businesses, coming into the age of artificial intelligence, particularly through machine learning.

NAB-gif1

In the case of media, machine learning allows customers to greatly scale activities that have historically been time-consuming and hard — for example, high quality translation and captioning to make content accessible to more audiences everywhere. It also enables completely new experiences — for example, companies can automatically create and deliver highlight reels of multi-hour sports matches for consumption on mobile devices, and build recommendation systems to ensure that their vast unmonetized long tail of content gets discovered by eager fans.    

This isn't science fiction or a long-term research project. It's here now. Those examples are just a few of the ways our customers already use machine learning.

We look forward to doing much, much more, and hope you'll join us on the journey.

Source: Google Cloud


#teampixel lights up the holidays

Season’s greetings! With the holidays around the corner, we’re highlighting #teampixel pics that remind us why this time of year is so magical. Join us in kicking off the celebrations with photos ranging from a frosty day in Austria to enjoying sweet treats in Pike Place, Seattle.

We also can't wait to see what Team Pixel captures in the coming year. Be merry, have a wonderful holiday and see you all in 2018! ✌️

Phasing out legacy recommendations on Android TV

Posted by Bejamin Baxter, Developer Programs Engineer

At Google I/O 2017, we announced a redesign of the Android TV's home screen. We expanded the recommendation row concept so that each app can have its own row (or multiple rows) of content on the home screen. Since the release of the new home screen, we have seen increased adoption of the new recommendation channels for Android Oreo in a wide variety of apps.

With more and more apps surfacing high-quality recommendations using the new channels, the legacy recommendation row in the new home screen on Android O will be phased out over the next year.

Currently, when an app creates recommendations with the legacy notification based API the content is added to a channel for that app. The channel may already exist if there was recommended content for it when you upgraded from Android N (or below). If the there is no channel for the app, it will be automatically generated for you. In either case, the user can't add or remove programs from the channel, but they can move, hide, and show the channel. When an app starts to use the new API to add its own channels, the system removes the auto-generated channel and the app takes over control of the display of their content.

Over the next year, we will phase out the automatic generation of channels. Instead of generating multiple channels, one for each app's legacy recommendations, we will insert one channel for all legacy recommendations. This channel will appear at the bottom of the channel list. Users can move or remove it. When a user upgrades to Android O, the previous recommendation row from Android N (and below) becomes a channel at the bottom of the home screen.

If you have not updated your app to post content to the new channels on the home screen, take a look at our documentation, codelab, and sample to get started.

We look forward to more and more apps taking advantage of the new changes in the home screen. We love to hear your feedback, so please visit the Android TV Developer Community on G+ to share your thoughts and ideas.