Welcome Kaggle to Google Cloud

By Fei-Fei Li, Chief Scientist, Google Cloud AI and Machine Learning

San Francisco — Today, I’m excited to announce that Kaggle will be joining Google Cloud. Founded in 2010, Kaggle is home to the world’s largest community of data scientists and machine learning enthusiasts. More than 800,000 data experts use Kaggle to explore, analyze and understand the latest updates in machine learning and data analytics. Kaggle is the best place to search and analyze public datasets, build machine learning models and grow your data science expertise.

During my keynote talk at Next ‘17, I emphasized the importance of democratizing AI. We must lower the barriers of entry to AI and make it available to the largest community of developers, users and enterprises, so they can apply it to their own unique needs. With Kaggle joining the Google Cloud team, we can accelerate this mission.

Kaggle and Google Cloud will continue to support machine learning training and deployment services, while offering the community the ability to store and query large datasets.

I’m thrilled to welcome Kaggle to the team. Kaggle and Google Cloud will foster a thriving community of machine learning developers and data scientists, giving them direct access to the most advanced cloud machine learning environment.

I can’t wait to see what machine learning problems you solve and the breakthroughs you achieve.
Quelle: Google Cloud Platform

Reimagining support for Google Cloud Platform: new pricing model and partnerships

By Dave Rensin, Director, Customer Reliability Engineering and Benjamin Smith, Director, Engineering Support, Google Cloud

San Francisco — Cloud customers need a flexible and responsive relationship with their providers. We’ve taken a close look at how we offer support and today are announcing a new model, as well as partnerships with Pivotal and Rackspace, to deliver a closer and more effective way to engage with customers.

When you move to the cloud you’re choosing to bet your business on that platform. The way we see it, this relationship is more than just a typical ‘customer/vendor’ dynamic; it’s a partnership, especially when it comes to support. We started down this path last year when we launched Customer Reliability Engineering (CRE) based on the principles of Site Reliability Engineering (SRE), but we always knew that it was just the first step.

Engineering Support: new role-based model

Support is part of the overall product experience, and we think it should be tailored to your unique technical needs. We’re announcing the all new Engineering Support, a role-based subscription model that allows us to match engineer to engineer, so we can meet you where your business is, no matter what stage of development you’re in.

We know you don’t have just one project or team. We know you’re constantly shifting engineers around as software development projects move from concept to development to production. With this in mind, we took a look at support and asked: Why should you be forced to pick just one support plan for your whole company? Why should you be locked into paying for a multi-year support contract? Why should you pay more for support as you spend more on the platform? If we’re doing our jobs, then you should spend less over time.

In rethinking our approach, and after listening to the feedback from customers, we focused on three principles:

Predictability – Flat fees per user per month; no variable percentage-of-platform-spend charges; You should know on day one what your costs will be on day 30.
Customizability – You should be able to configure your support entitlements to match the exact needs of your business.
Flexibility – You should be able to change the level of support from month-to-month as the unique needs of your business evolve.

With Engineering Support, we’ll offer three choices per support seat:

Development engineering support is ideal for developers or QA engineers that can manage with a response within four to eight business hours, priced at $100/user per month.
Production engineering support provides a one-hour response time for critical issues at $250/user per month.
On-call engineering support pages a Google engineer and delivers a 15-minute response time 24×7 for critical issues at $1,500/user per month.

With this new model, you pay for only the roles your team needs and can decide what time-frame of support responses best suits the lifecycle stages of your applications and who in your organization needs to interact with support.

The advantages of the Engineering Support model are:

You can mix and match your support levels and spend to the stages of development maturity for your projects. You can add, remove or change support levels monthly, from our Cloud Console. No more buying the highest tier for the whole company just because one project needs a 15-minute response time.
Prices are fixed so you know on the first day of the month what your support bill will be on the last day of the month. No more of the dreaded “success tax” where your support bill increases with cloud usage.
You can make adjustments month-to-month as your needs evolve, changing your support needs with shifts in your business.

Our goal is for Engineering Support to eventually replace the “precious metal” (e.g., silver, gold) tiers that link support costs directly to cloud usage. We’re aiming to roll out Engineering Support with new customers this spring. We’ll also work with our existing customers to move them to the new model over the course of the year.

And, there’s an option to not pay for support at all. As always, we support every customer for quota increase requests and billing questions at no cost. Further, forums, communities, issue lists and product documentation are accessible by all, 24×7.

Watch for more info soon at cloud.google.com/support.

Pivotal Cloud Foundry first CRE partner
We support our customers’ needs to use the mix of cloud services that is best for their business. And since we launched the CRE program, we’ve known that it’s important to have an ecosystem of technology partners to extend this mix. So we’re excited to announce that we’ve brought on Pivotal as our first CRE technology partner.

CRE technology partners will work hand-in-hand with Google to thoroughly review their solutions and implement changes to address identified risks to reliability. Additionally, we’ll continuously work with our CRE partners to ensure that the partner solution’s configuration, architecture and conventions allow users to create highly reliable and available applications that are in line with CRE’s best practices.

We’re working closely with Pivotal to make sure that GCP customers who choose to use Pivotal Cloud Foundry can feel comfortable that they’re going to build and deploy highly reliable systems by default.

Rackspace Support for GCP
To ensure our customers are covered beyond our own support teams, we’re partnering with Rackspace to offer managed support for GCP. The Rackspace team is actively building their GCP practice, and we are providing them with the resources and tools they need to deliver the best experience to our joint customers.

Our goal is to make GCP the best choice for Rackspace customers looking to move to cloud by creating a high level of integration and experience. Rackspace already has Google Certified Professionals on staff, and expects to begin onboarding beta customers for GCP managed support in the coming months.

Visit us at Next
If you’re at Google Cloud Next ’17 this week, please stop by The Fifth Nine lounge to learn more about SRE and DevOps. We’re hosting some great sessions including SRE War Stories, where panelists will discuss memorable SRE events in Google history, talks by customers and partners, and a fireside chat with SRE creators Benjamin Treynor Sloss and Ben Lutch. See you there!
Quelle: Google Cloud Platform

People Are Pissed That Snapchat's Marie Curie Filter Adds A Full Face Of Makeup

&;Didn&;t realize eye makeup and false lashes were essential to being a baller female physicist&;&;

But some users have pointed out an odd detail in the Marie Curie filter: a smokey eye, false eyelashes, and complexion-smoothing makeup.

But some users have pointed out an odd detail in the Marie Curie filter: a smokey eye, false eyelashes, and complexion-smoothing makeup.

Twitter: @Selfies_AndCats

For anyone who isn’t familiar with Marie Curie, she was a Polish-born French physicist and chemist who won the Nobel Prize twice for research on radioactivity.

For anyone who isn't familiar with Marie Curie, she was a Polish-born French physicist and chemist who won the Nobel Prize twice for research on radioactivity.

Curie won the 1903 Nobel Prize in Physics and the 1911 Nobel Prize in Chemistry. She ultimately died due to radiation exposure from her research, and many regard her as a hero in the field of science.

mlahanas.de / Via commons.wikimedia.org

Given her work, many felt the makeup was unnecessary.

Given her work, many felt the makeup was unnecessary.

Twitter: @MarrowNator


View Entire List ›

Quelle: <a href="People Are Pissed That Snapchat&039;s Marie Curie Filter Adds A Full Face Of Makeup“>BuzzFeed

Updated Training Course: Big Data on AWS

We’ve updated our Big Data on AWS instructor-led training course. This 3-day course introduces cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and now Amazon Athena. The course teaches you how to create big data environments, how to process data, and how to leverage best practices to design big data environments for security and cost-effectiveness.
Quelle: aws.amazon.com

3 statistics that prove enterprise video is on the rise

The landscape of video content is changing, and not just at home.
New viewing patterns have created a dramatic shift in the media world as consumers move to cloud-based streaming video to watch their favorite shows on laptops, tablets and mobile phones. Companies have taken note and are ramping up their use of streaming video for the enterprise to keep employees, customers and business partners engaged and informed.
Data pooled on the IBM Cloud Video service from almost a billion viewers over the past two years illustrate the growth of streaming video within the enterprise, highlighting a significant increase in mobile viewing, content quality and global activity.
The data tracks videos streamed by organizations for both internal and external communications, taking advantage of new cloud technologies to produce and deliver their content directly to audiences around the world.
Here are three key takeaways:
1. Mobile viewership of enterprise cloud-based video increased five-fold
People are all but attached to their phones, so it’s no surprise those habits extend to the workplace. Consumers are accustomed to accessing information on the go, and employees now expect the same level of convenience at work.
Accordingly, the percentage of enterprise streaming on mobile devices was almost five times higher in 2016 than in 2015. Views coming from mobile devices (rather than desktop computers) increased from 5.85 percent in 2015 to 28.82 percent in 2016.
2. Video quality within the enterprise is improving
When they’re streaming video for entertainment, viewers expect a seamless experience. Within the enterprise, employees also demand high-quality video. Low-resolution video when live-streaming a presentation or trying to complete employee training can create frustrations that distract from the video’s intended purpose.
The average video file size for the enterprise increased by 29 percent from 2015 to 2016, rising from .77 gigabytes to 1 gigabyte, according to the IBM Cloud Video data. This is even more remarkable given the average video length decreased by 8 percent. Enterprise videos are getting shorter, but the files are getting larger, which means companies are making quality a priority.
3. Enterprise viewership outside of the US is rising
The data show that enterprise viewership outside of the US grew by more than 25 percent from 2015 to 2016, as international businesses increasingly integrate cloud-based video into their strategies. With many employees working from remote locations, video is essential for communicating effectively and making everyone feel part of the team.
Live-streamed video fosters a strong company culture and enables employees to share information with colleagues more efficiently, without sacrificing the visual components or face-to-face communication. It makes one-to-many meetings, such as employee town halls, more engaging for everyone, regardless of where they are located.
Trends support expanded use of enterprise video
From these figures, it’s clear employees and managers alike increasingly rely on streaming video within the enterprise. Enterprise use is a key driver in making video one of the fastest-growing areas of data in the cloud. Within the workplace, cloud-based video has clearly transitioned from an optional technology to an essential communications tool.
As the value of enterprise video increases, more companies will turn to on-the-go streaming through mobile devices and use video to connect remote employees. Just like media and entertainment firms, companies across all industries will look for streaming technologies that meet viewer demands for high-quality video streamed reliably on any connected device, anywhere employees are.
Learn more about streaming video business solutions.
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Quelle: Thoughts on Cloud