Following its IPO filing last week, Dropbox today announced a new partnership with Google Cloud to integrate G Suite with the former’s platform. Integrations range from productivity and communication services, including with the just announced Hangouts Chat.
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Google and Amazon are fierce competitors over smart assistants, with Alexa having the lead in the consumer smart speaker space, as well as the enterprise. However, the retailer has just lost its head of Alexa AI research to Google Cloud.
Relentlessly focussed on capturing the enterprise market, Google Cloud’s latest move is the acquisition of Internet of Things service Xively to boost its existing management service for the quickly growing field.
At I/O 2017, Sundar Pichai announced a new, better way to design machine learning models that would help democratize access beyond organizations with deep benches of AI researchers and PhDs. Today, Google Cloud announced AutoML as a consumer product aimed at businesses and developers that don’t have ML expertise.
Following yesterday’s disclosure of the CPU Speculative Execution issue raging through the tech industry by the Project Zero team, Google is now detailing the mitigations for the security flaw. In a blog post, the company also discusses the impact to processor and cloud performance.
With Christmas quickly approaching, many are concluding last-minute shopping as stores — both physical and virtual — push various deals. Meanwhile, crunch time is also happening up in the North Pole.
In an amusing, but informative blog post today, one of Santa’s elves describes how the North Pole takes advantage of the Google Cloud Platform for all their critical gift-giving needs.
Google Cloud Next is the I/O equivalent for enterprise developers, customers, and other industry partners. Today, the company announced the dates for Cloud Next ’18, with the conference running longer and hosted later in the year.
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At Google Cloud Next London, the company announced two new product updates. Its machine learning-based text meaning extractor API now supports more languages and has improved sentiment analysis. Additionally, its database service will soon enter into general availability.
Starting today, third-party developers will have access to the same speech recognition technology that powers Google’s products. Available in Google Cloud, the Cloud Search API has also been updated with new features and improved performance.
In the midst of several app and service launches at Cloud Next ’17, Google also announced several hardware-related developments. With Cloud Platform gaining GPUs last month, Compute Engine is doubling the number of CPU cores available to virtual machines, while Google showed off its Titan security chip for data servers.
At day two of Cloud Next ’17, Google’s Firebase app development suite was announced to have closer integration with the Google Cloud Platform. Cloud Functions for Firebase offers a complete backend serverless solution, while Cloud Storage for Firebase improves the app storage experience.
Google today announced that it’s forming a new strategic partnership with enterprise software company SAP to deliver its in-memory database SAP HANA among other solutions. The partnership offers Google Cloud Platform customers more scalability, brings new G Suite integrations, and more…
Google has today announced at its Cloud Next conference in San Francisco that it has acquired Kaggle, a notably large online community for data science. The service allows data scientists to hold and participate in competitions, explore datasets, and more…
[UPDATE: Day 1 kicks off at 9am PT today and Google is live streaming the event on YouTube, tune in below…]
Google today announced some notable keynote speakers that will appear at its upcoming Google Cloud Next ’17 Conference scheduled for March 8-10. Among the execs set to make an appearance at the event, Google CEO Sundar Pichai and Executive Chairman of Alphabet Eric Schmidt will be delivering keynotes during the conference that will focus on the latest for the company’s Cloud offerings.
With enterprise products and services taking an ever bigger priority at Google, the number of partnerships and purchases have increased. With the acquisition of Limes Audio, Google hopes to improve the audio experience in Hangouts video conferencing and Chromebox for Meetings.
Over the past year, Google’s enterprise cloud division has been heavily competing with Amazon AWS and Microsoft Azure. Google Cloud is now expanding into powering multi-player gaming experiences and worlds in a partnership with UK startup Improbable.
In trying to compete with the likes of Amazon Web Services and Microsoft Azure, Google Cloud has been moving at breakneck speed. After a strong push into machine learning and AI earlier this week, Google has announced a strategic alliance with Intel to increased enterprise cloud usage.
The more Google reveals its cards for the future, the more it seems clear that cloud services and AI are going to be two of its absolute cornerstones in the years to come, so much so that the company is looking to unify its disparate teams under a new, singular division, not too dissimilarly from Osterloh’s hardware group put together earlier this year.
Google Cloud‘s chief Diane Greene announced as much today, providing further information on the firm’s roadmap regarding their advancements in cloud services and how AI integrates into that. In particular, it was stressed how machine learning techniques will allow them to provide smarter services over time — like translation, computer vision, and even hiring — to enterprise customers.
Google has today announced Google Cloud, the new name for all of the company’s cloud offerings. This includes Google Cloud Platform, Maps and Machine Learning APIs, the newly-rebranded “G Suite,” as well as the Chrome and Android devices that give users access. But Google is also today announcing advancements across its cloud and enterprise offerings…
If you’ve searched for objects or landmarks in Google Photos, you have already used Google’s Cloud Vision API without knowing it. Today, the Mountain View company announced that it is now opening up the API to more developers as it enters beta. Launched in limited preview last December, Google has also announced pricing for the service.
Google’s Container Engine, the system through which developers can easily create and manage clusters of software containers, is now generally available. Software containers are isolated environments where individual applications can run separate from any other applications, allowing for more granular resource management and increased security, among other things. A web application might have separate containers for the webserver, cache, and database, for example.
“While containers make packaging apps easier, a powerful cluster manager and orchestration system is necessary to bring your workloads to production,” Google said in its blog post about the announcement. “Container Engine makes it easy for you to set up a container cluster and manage your application, without sacrificing infrastructure flexibility.”
There are two open-source technologies underlying Container Engine’s ease of use and flexibility: Docker for automating the deployment of applications inside software containers, and the Google-built Kubernetes for making these siloed applications work together in unison even when hosted across multiple cloud hosts. Companies can move all their infrastructure needs to Container Engine or just move some and find cost savings if, for example, Google’s solution is cheaper. Whatever the need, another reason you might move some processes over to Container Engine is that it’s fully managed by Google reliability engineers, and comes with a 99.5% uptime guarantee.
Beyond management of clusters, Container Engine also equips them with logging and container health checking tools, and makes it incredibly easy to scale CPU and memory up or down as an applications’ needs change. Define your containers’ needs, such as the amount of CPU/memory each requires, number of replicas, and keepalive policy, and Container Engine will actively ensure requirements are met. This goes back to the mention of granular resource management: siloing applications with Kubernetes into separate, virtual environments allows one to easily limit the resources any one environment gets access to, preventing an app gone haywire from hogging too much of the total available memory, for example.
Google has been able to draw from real-world experience in building Container Engine, as the company says that it packages all of its own web applications — like Gmail and Search — into containers, deploying more than 2 billion instances of them each week.
