• Google Cloud Next '17 - Day 1 Keynote

    Hear from Diane Greene, SVP of Google Cloud; Sundar Pichai, CEO of Google; Eric Schmidt, Chairman of Alphabet and Fei-Fei Li, Chief Scientist for Google Cloud Machine Learning and AI and Professor of Computer Science at Stanford. Our lineup of executives will discuss what Google Cloud offers today and discuss Google Cloud's vision for the future. Attendees will also hear how our customers and partners are embracing the cloud in new and innovative ways. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h

    published: 09 Mar 2017
  • Google Cloud Next '17 - Day 2 Keynote

    Google Cloud announces new products for Google Cloud Platform (GCP) and G Suite. Hear from Google's product and engineering leaders, including Urs Hölzle, Prabhakar Raghavan, Brian Stevens and Chet Kapoor. See exciting product demos and hear from customers about how Google Cloud is helping them compete and succeed.

    published: 10 Mar 2017
  • Machine Learning APIs by Example (Google Cloud Next '17)

    Think your business could make use of Google's machine learning expertise when it comes to powering and improving your business applications, but do you get stuck on building and training your own custom model? Google Cloud Platform (GCP) offers five APIs: Google Cloud Vision API, Cloud Speech API, Cloud Natural Language API, Cloud Translation API and Cloud Video API. These APIs access pre-trained machine learning models with a single API call. In this video, Sara Robinson shares an overview of each API. Then she dives into code with a live demo. Want the code for the demos in this talk? It's here: https://github.com/sararob/ml-talk-demos Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k

    published: 09 Mar 2017
  • Google Cloud Next '17 - Day 3 Keynote

    This final Keynote is dedicated to developers, focusing on Google’s commitment to open source with talks from Jeff Dean, Senior Google Fellow and leader of the Google Brain team, along with Rajat Monga to expand on the progress Google is making with TensorFlow and Google Brain. Hear from prominent members of the open source community on the state of the community and how open source is helping define the future of the Internet. Also hear from start-ups and the venture capital community on how they’re leveraging the Cloud to build the next wave of innovative products and services

    published: 13 Mar 2017
  • Gaining full control over your organization's cloud resources (Google Cloud Next '17)

    In this video, Rae Wang, Ray Colline, Lukas Karlsson, and Seth Vargo discuss how you, as an administrator, can use Google Cloud Platform's (GCP) management features, including the Organization Node, Folders, Projects, Labels, Service Accounts, IAM, Org Policy and more, to fully control your cloud resources. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG

    published: 10 Mar 2017
  • Google Infrastructure Security Design (Google Cloud Next '17)

    In this video you will learn about Google's secure cloud infrastructure. Google has a global scale technical infrastructure designed to provide security through the entire information processing lifecycle at Google. This infrastructure provides secure deployment of services, secure storage of data with end user privacy safeguards, secure communications between services, secure and private communication with customers over the internet, and safe operation by administrators. Google uses this infrastructure to build its internet services, including both consumer services such as Search, Gmail, and Photos, and enterprise services such as G Suite and Google Cloud Platform. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations ...

    published: 10 Mar 2017
  • Flexible development with the Google Maps APIs (Google Cloud Next '17)

    Google Maps APIs provide a seamless experience for enterprise application development. Whether you want to provide one-click navigation for your sales force or reduce shipping errors by address auto-completion, it often takes just a few lines of code to achieve your goals. In this video, you'll learn how the Google Maps APIs enable you to delegate to Google Maps, incorporate maps, customize/integrate maps or orchestrate maps data into your own apps/sites. From prototype to production, you'll learn how widgets and services can extend your application functionality by using the suite of Maps APIs, services and libraries. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl

    published: 09 Mar 2017
  • Customer Successes with Machine Learning (Google Cloud Next '17)

    TensorFlow is rapidly democratizing machine intelligence. Combined with the Google Cloud Machine Learning platform, TensorFlow now allows any developer to leverage deep learning technology without spending top-level expertise or top-level costs. In this video, Riku Inoue and Bryan Lares share how a car auction service and a global insurance company were able to adopt TensorFlow and Cloud Machine Learning to solve real-world business problems and improve customer service and product excellence. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k

    published: 09 Mar 2017
  • IoT and Cloud for Industrial Applications (Google Cloud Next '17)

    In this video, Indranil Chakraborty, Willem Sundblad, Edwin Poot, and Giby Raphael explain how to use IoT, Cloud Pub/Sub, Dataflow, Biqquery and Cloud Machine Learning to solve business needs in the utilities and manufacturing segments. Google Cloud customers from each of these verticals showcase how they're using Google Cloud products to transform their industries. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k

    published: 10 Mar 2017
  • On-device machine learning: TensorFlow on Android (Google Cloud Next '17)

    In this video, Yufeng Guo applies deep learning models to local prediction on mobile devices. Yufeng shows you how to use TensorFlow to implement a machine learning model that is tailored to a custom dataset. You will come away knowing enough to get started solving your own deep learning problems. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k

    published: 11 Mar 2017
  • The future of team communications (Google Cloud Next '17)

    In this video, you'll hear about the latest additions to G Suite in the area of team communications. Scott Johnston discusses how you can use G Suite's integrated tool set to foster strong team culture, connectedness, and productivity. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc

    published: 10 Mar 2017
  • Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)

    In this video, you'll learn how data transformation services, dynamic work rebalancing, batch and streaming autoscaling and automatic input sharding make Cloud Dataflow auto-awesome. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k

    published: 09 Mar 2017
  • Serverless computing options with Google Cloud Platform (Google Cloud Next '17)

    From Functions-as-a-Service to Backend-as-a-Service, even Big Data-as-a-Service, Serverless is taking many different shapes. Learn what these mean and how Google Cloud Platform (GCP) is building technology to make sure there's nothing standing between you and running your code. You'll see live demos of integration between Firebase, Cloud Functions, Cloud Pub/Sub (and even machine learning) to build autoscaling apps in record time - all without managing servers or application runtimes. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl

    published: 09 Mar 2017
  • Reimagining human computer interaction with Cloud Speech API (Google Cloud Next '17)

    Learn how Cloud Speech API enables developers to build a new genre of applications. Cloud Speech API enables users to interact with your mobile and IoT applications in a whole new way. In addition, it enables new opportunities for generating insights from existing audio sources (e.g., phone calls or videos). Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k

    published: 10 Mar 2017
  • Navigating Google Cloud Platform: a guide for new GCP users (Google Cloud Next '17)

    Building great solutions requires you to know your tools. Coming from your own infrastructure or another cloud provider you might have trouble locating all of the tools at your disposal on Google Cloud Platform (GCP). Common questions: How do I get a Virtual Machine? What NoSQL solutions are available? Where do I open a firewall port? This video takes you through our various computing options and engines. Terrence Ryan walks you through our storage options and helps you figure out where your data should go. He also dives deeper into our services and shows you how to get started with big data and machine learning. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl

    published: 08 Mar 2017
  • TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17)

    With TensorFlow, deep machine learning transitions from an area of research to mainstream software engineering. In this video, Martin Gorner demonstrates how to construct and train a neural network that recognises handwritten digits. Along the way, he'll describe some "tricks of the trade" used in neural network design, and finally, he'll bring the recognition accuracy of his model above 99%. Content applies to software developers of all levels. Experienced machine learning enthusiasts, this video will introduce you to TensorFlow through well known models such as dense and convolutional networks. This is an intense technical video designed to help beginners in machine learning ramp up quickly. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about ...

    published: 09 Mar 2017
  • Designing reliable systems with cloud infrastructure (Google Cloud Next '17)

    In this video, Paul Newson discusses zonal, regional and global services in Google Cloud Platform (GCP). You'll hear tips on how to use these services to effectively design a service with the right balance of reliability and cost. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG

    published: 09 Mar 2017
  • What to consider when developing mobile apps (Google Cloud Next '17)

    Building applications for mobile devices flips a number of traditional developer assumptions on their heads. In this video, Laurence Moroney explores the key considerations when building for mobile, and how the latest offerings from Firebase and Google Cloud Platform (GCP) can help you meet new challenges. He gets hands on with the tools you can use today to address topics like poor connectivity, serverless computing, data validation, and access control. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl

    published: 10 Mar 2017
  • Building scalable apps with Cloud Datastore (Google Cloud Next '17)

    Find out what Google Cloud Datastore gives you, including Cloud Dataflow integration, a browser based editor, and a cross-platform API. See how you can get started building a serverless mobile and web application using Cloud Datastore. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG

    published: 09 Mar 2017
  • Cloud Spanner Introduction (Next'17 Rewind)

    Cloud Spanner is a fully managed relational database service that is both strongly consistent and horizontally scalable. With Cloud Spanner, you enjoy all the traditional benefits of a relational database: ACID transactions, relational schemas (and schema changes without downtime), SQL queries, high performance, and high availability. But unlike other relational database service, Cloud Spanner scales horizontally, to hundreds or thousands of servers, so it can handle the highest of transactional workloads. In this video Robert Kubis demonstrates the key features of Cloud Spanner with the NEXT'17 Ticketsales Keynote demo application. Next website with world tour dates: https://g.co/cloudnext Subscribe to the Google Cloud channel: https://goo.gl/S0AS51

    published: 16 May 2017
  • Introduction to Google Cloud Machine Learning (Google Cloud Next '17)

    Google Cloud is at the forefront of developing cutting-edge machine learning technology. Computer vision, predictive modeling, natural language understanding, and speech recognition are among the most popular business related uses of machine learning so far. In this video, you'll learn how to leverage machine learning for your own business applications. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k

    published: 10 Mar 2017
  • You can run that on App Engine? (Google Cloud Next '17)

    Since 2007, App Engine has made building and deploying production scale applications for the web easy. App Engine is great for certain application patterns, but sometimes our apps don't fit these patterns so cleanly. We want to choose our favorite language to get the job done. When something goes wrong, we need full control and SSH directly into the machine running our code. Join Justin Beckwith for a tour of App Engine Flex, and learn how you can move beyond PaaS. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl

    published: 10 Mar 2017
  • Cloud Spanner 101: Google's mission-critical relational database (Google Cloud Next '17)

    In this video, Dominic Preuss shares an overview of Google Cloud Spanner, Google's mission-critical, relational and scalable application database, which is now publicly available as a managed service on Google Cloud. You'll learn how Cloud Spanner evolved, how Google uses it internally, and how you can use it for your next project. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG

    published: 11 Mar 2017
  • Cloud Datastore 101: Overview of Google's scalable NoSQL document database (Google Cloud Next '17)

    Find out what Google Cloud Datastore gives you, including Cloud Dataflow integration, a browser based editor, and a cross-platform API. See how you can get started building a serverless mobile and web application using Cloud Datastore. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG

    published: 21 Mar 2017
developed with YouTube
Google Cloud Next '17 - Day 1 Keynote

Google Cloud Next '17 - Day 1 Keynote

  • Order:
  • Duration: 2:14:41
  • Updated: 09 Mar 2017
  • views: 91879
videos
Hear from Diane Greene, SVP of Google Cloud; Sundar Pichai, CEO of Google; Eric Schmidt, Chairman of Alphabet and Fei-Fei Li, Chief Scientist for Google Cloud Machine Learning and AI and Professor of Computer Science at Stanford. Our lineup of executives will discuss what Google Cloud offers today and discuss Google Cloud's vision for the future. Attendees will also hear how our customers and partners are embracing the cloud in new and innovative ways. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h
https://wn.com/Google_Cloud_Next_'17_Day_1_Keynote
Google Cloud Next '17 - Day 2 Keynote

Google Cloud Next '17 - Day 2 Keynote

  • Order:
  • Duration: 2:19:05
  • Updated: 10 Mar 2017
  • views: 35998
videos
Google Cloud announces new products for Google Cloud Platform (GCP) and G Suite. Hear from Google's product and engineering leaders, including Urs Hölzle, Prabhakar Raghavan, Brian Stevens and Chet Kapoor. See exciting product demos and hear from customers about how Google Cloud is helping them compete and succeed.
https://wn.com/Google_Cloud_Next_'17_Day_2_Keynote
Machine Learning APIs by Example (Google Cloud Next '17)

Machine Learning APIs by Example (Google Cloud Next '17)

  • Order:
  • Duration: 38:36
  • Updated: 09 Mar 2017
  • views: 148689
videos
Think your business could make use of Google's machine learning expertise when it comes to powering and improving your business applications, but do you get stuck on building and training your own custom model? Google Cloud Platform (GCP) offers five APIs: Google Cloud Vision API, Cloud Speech API, Cloud Natural Language API, Cloud Translation API and Cloud Video API. These APIs access pre-trained machine learning models with a single API call. In this video, Sara Robinson shares an overview of each API. Then she dives into code with a live demo. Want the code for the demos in this talk? It's here: https://github.com/sararob/ml-talk-demos Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
https://wn.com/Machine_Learning_Apis_By_Example_(Google_Cloud_Next_'17)
Google Cloud Next '17 - Day 3 Keynote

Google Cloud Next '17 - Day 3 Keynote

  • Order:
  • Duration: 1:39:31
  • Updated: 13 Mar 2017
  • views: 13718
videos
This final Keynote is dedicated to developers, focusing on Google’s commitment to open source with talks from Jeff Dean, Senior Google Fellow and leader of the Google Brain team, along with Rajat Monga to expand on the progress Google is making with TensorFlow and Google Brain. Hear from prominent members of the open source community on the state of the community and how open source is helping define the future of the Internet. Also hear from start-ups and the venture capital community on how they’re leveraging the Cloud to build the next wave of innovative products and services
https://wn.com/Google_Cloud_Next_'17_Day_3_Keynote
Gaining full control over your organization's cloud resources (Google Cloud Next '17)

Gaining full control over your organization's cloud resources (Google Cloud Next '17)

  • Order:
  • Duration: 55:24
  • Updated: 10 Mar 2017
  • views: 1673
videos
In this video, Rae Wang, Ray Colline, Lukas Karlsson, and Seth Vargo discuss how you, as an administrator, can use Google Cloud Platform's (GCP) management features, including the Organization Node, Folders, Projects, Labels, Service Accounts, IAM, Org Policy and more, to fully control your cloud resources. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG
https://wn.com/Gaining_Full_Control_Over_Your_Organization's_Cloud_Resources_(Google_Cloud_Next_'17)
Google Infrastructure Security Design (Google Cloud Next '17)

Google Infrastructure Security Design (Google Cloud Next '17)

  • Order:
  • Duration: 41:36
  • Updated: 10 Mar 2017
  • views: 9073
videos
In this video you will learn about Google's secure cloud infrastructure. Google has a global scale technical infrastructure designed to provide security through the entire information processing lifecycle at Google. This infrastructure provides secure deployment of services, secure storage of data with end user privacy safeguards, secure communications between services, secure and private communication with customers over the internet, and safe operation by administrators. Google uses this infrastructure to build its internet services, including both consumer services such as Search, Gmail, and Photos, and enterprise services such as G Suite and Google Cloud Platform. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG
https://wn.com/Google_Infrastructure_Security_Design_(Google_Cloud_Next_'17)
Flexible development with the Google Maps APIs (Google Cloud Next '17)

Flexible development with the Google Maps APIs (Google Cloud Next '17)

  • Order:
  • Duration: 41:11
  • Updated: 09 Mar 2017
  • views: 967
videos
Google Maps APIs provide a seamless experience for enterprise application development. Whether you want to provide one-click navigation for your sales force or reduce shipping errors by address auto-completion, it often takes just a few lines of code to achieve your goals. In this video, you'll learn how the Google Maps APIs enable you to delegate to Google Maps, incorporate maps, customize/integrate maps or orchestrate maps data into your own apps/sites. From prototype to production, you'll learn how widgets and services can extend your application functionality by using the suite of Maps APIs, services and libraries. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl
https://wn.com/Flexible_Development_With_The_Google_Maps_Apis_(Google_Cloud_Next_'17)
Customer Successes with Machine Learning (Google Cloud Next '17)

Customer Successes with Machine Learning (Google Cloud Next '17)

  • Order:
  • Duration: 47:06
  • Updated: 09 Mar 2017
  • views: 6379
videos
TensorFlow is rapidly democratizing machine intelligence. Combined with the Google Cloud Machine Learning platform, TensorFlow now allows any developer to leverage deep learning technology without spending top-level expertise or top-level costs. In this video, Riku Inoue and Bryan Lares share how a car auction service and a global insurance company were able to adopt TensorFlow and Cloud Machine Learning to solve real-world business problems and improve customer service and product excellence. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
https://wn.com/Customer_Successes_With_Machine_Learning_(Google_Cloud_Next_'17)
IoT and Cloud for Industrial Applications (Google Cloud Next '17)

IoT and Cloud for Industrial Applications (Google Cloud Next '17)

  • Order:
  • Duration: 56:12
  • Updated: 10 Mar 2017
  • views: 6643
videos
In this video, Indranil Chakraborty, Willem Sundblad, Edwin Poot, and Giby Raphael explain how to use IoT, Cloud Pub/Sub, Dataflow, Biqquery and Cloud Machine Learning to solve business needs in the utilities and manufacturing segments. Google Cloud customers from each of these verticals showcase how they're using Google Cloud products to transform their industries. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
https://wn.com/Iot_And_Cloud_For_Industrial_Applications_(Google_Cloud_Next_'17)
On-device machine learning: TensorFlow on Android (Google Cloud Next '17)

On-device machine learning: TensorFlow on Android (Google Cloud Next '17)

  • Order:
  • Duration: 24:53
  • Updated: 11 Mar 2017
  • views: 29329
videos
In this video, Yufeng Guo applies deep learning models to local prediction on mobile devices. Yufeng shows you how to use TensorFlow to implement a machine learning model that is tailored to a custom dataset. You will come away knowing enough to get started solving your own deep learning problems. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
https://wn.com/On_Device_Machine_Learning_Tensorflow_On_Android_(Google_Cloud_Next_'17)
The future of team communications (Google Cloud Next '17)

The future of team communications (Google Cloud Next '17)

  • Order:
  • Duration: 23:42
  • Updated: 10 Mar 2017
  • views: 4184
videos
In this video, you'll hear about the latest additions to G Suite in the area of team communications. Scott Johnston discusses how you can use G Suite's integrated tool set to foster strong team culture, connectedness, and productivity. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc
https://wn.com/The_Future_Of_Team_Communications_(Google_Cloud_Next_'17)
Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)

Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)

  • Order:
  • Duration: 54:05
  • Updated: 09 Mar 2017
  • views: 4430
videos
In this video, you'll learn how data transformation services, dynamic work rebalancing, batch and streaming autoscaling and automatic input sharding make Cloud Dataflow auto-awesome. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
https://wn.com/Serverless_Data_Processing_With_Google_Cloud_Dataflow_(Google_Cloud_Next_'17)
Serverless computing options with Google Cloud Platform (Google Cloud Next '17)

Serverless computing options with Google Cloud Platform (Google Cloud Next '17)

  • Order:
  • Duration: 52:06
  • Updated: 09 Mar 2017
  • views: 9355
videos
From Functions-as-a-Service to Backend-as-a-Service, even Big Data-as-a-Service, Serverless is taking many different shapes. Learn what these mean and how Google Cloud Platform (GCP) is building technology to make sure there's nothing standing between you and running your code. You'll see live demos of integration between Firebase, Cloud Functions, Cloud Pub/Sub (and even machine learning) to build autoscaling apps in record time - all without managing servers or application runtimes. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl
https://wn.com/Serverless_Computing_Options_With_Google_Cloud_Platform_(Google_Cloud_Next_'17)
Reimagining human computer interaction with Cloud Speech API (Google Cloud Next '17)

Reimagining human computer interaction with Cloud Speech API (Google Cloud Next '17)

  • Order:
  • Duration: 40:37
  • Updated: 10 Mar 2017
  • views: 1918
videos
Learn how Cloud Speech API enables developers to build a new genre of applications. Cloud Speech API enables users to interact with your mobile and IoT applications in a whole new way. In addition, it enables new opportunities for generating insights from existing audio sources (e.g., phone calls or videos). Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
https://wn.com/Reimagining_Human_Computer_Interaction_With_Cloud_Speech_Api_(Google_Cloud_Next_'17)
Navigating Google Cloud Platform: a guide for new GCP users (Google Cloud Next '17)

Navigating Google Cloud Platform: a guide for new GCP users (Google Cloud Next '17)

  • Order:
  • Duration: 49:50
  • Updated: 08 Mar 2017
  • views: 5531
videos
Building great solutions requires you to know your tools. Coming from your own infrastructure or another cloud provider you might have trouble locating all of the tools at your disposal on Google Cloud Platform (GCP). Common questions: How do I get a Virtual Machine? What NoSQL solutions are available? Where do I open a firewall port? This video takes you through our various computing options and engines. Terrence Ryan walks you through our storage options and helps you figure out where your data should go. He also dives deeper into our services and shows you how to get started with big data and machine learning. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl
https://wn.com/Navigating_Google_Cloud_Platform_A_Guide_For_New_Gcp_Users_(Google_Cloud_Next_'17)
TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17)

TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17)

  • Order:
  • Duration: 55:52
  • Updated: 09 Mar 2017
  • views: 156508
videos
With TensorFlow, deep machine learning transitions from an area of research to mainstream software engineering. In this video, Martin Gorner demonstrates how to construct and train a neural network that recognises handwritten digits. Along the way, he'll describe some "tricks of the trade" used in neural network design, and finally, he'll bring the recognition accuracy of his model above 99%. Content applies to software developers of all levels. Experienced machine learning enthusiasts, this video will introduce you to TensorFlow through well known models such as dense and convolutional networks. This is an intense technical video designed to help beginners in machine learning ramp up quickly. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
https://wn.com/Tensorflow_And_Deep_Learning_Without_A_Phd,_Part_1_(Google_Cloud_Next_'17)
Designing reliable systems with cloud infrastructure (Google Cloud Next '17)

Designing reliable systems with cloud infrastructure (Google Cloud Next '17)

  • Order:
  • Duration: 48:55
  • Updated: 09 Mar 2017
  • views: 1527
videos
In this video, Paul Newson discusses zonal, regional and global services in Google Cloud Platform (GCP). You'll hear tips on how to use these services to effectively design a service with the right balance of reliability and cost. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG
https://wn.com/Designing_Reliable_Systems_With_Cloud_Infrastructure_(Google_Cloud_Next_'17)
What to consider when developing mobile apps (Google Cloud Next '17)

What to consider when developing mobile apps (Google Cloud Next '17)

  • Order:
  • Duration: 49:47
  • Updated: 10 Mar 2017
  • views: 2794
videos
Building applications for mobile devices flips a number of traditional developer assumptions on their heads. In this video, Laurence Moroney explores the key considerations when building for mobile, and how the latest offerings from Firebase and Google Cloud Platform (GCP) can help you meet new challenges. He gets hands on with the tools you can use today to address topics like poor connectivity, serverless computing, data validation, and access control. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl
https://wn.com/What_To_Consider_When_Developing_Mobile_Apps_(Google_Cloud_Next_'17)
Building scalable apps with Cloud Datastore (Google Cloud Next '17)

Building scalable apps with Cloud Datastore (Google Cloud Next '17)

  • Order:
  • Duration: 44:06
  • Updated: 09 Mar 2017
  • views: 3591
videos
Find out what Google Cloud Datastore gives you, including Cloud Dataflow integration, a browser based editor, and a cross-platform API. See how you can get started building a serverless mobile and web application using Cloud Datastore. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG
https://wn.com/Building_Scalable_Apps_With_Cloud_Datastore_(Google_Cloud_Next_'17)
Cloud Spanner Introduction (Next'17 Rewind)

Cloud Spanner Introduction (Next'17 Rewind)

  • Order:
  • Duration: 5:20
  • Updated: 16 May 2017
  • views: 2079
videos
Cloud Spanner is a fully managed relational database service that is both strongly consistent and horizontally scalable. With Cloud Spanner, you enjoy all the traditional benefits of a relational database: ACID transactions, relational schemas (and schema changes without downtime), SQL queries, high performance, and high availability. But unlike other relational database service, Cloud Spanner scales horizontally, to hundreds or thousands of servers, so it can handle the highest of transactional workloads. In this video Robert Kubis demonstrates the key features of Cloud Spanner with the NEXT'17 Ticketsales Keynote demo application. Next website with world tour dates: https://g.co/cloudnext Subscribe to the Google Cloud channel: https://goo.gl/S0AS51
https://wn.com/Cloud_Spanner_Introduction_(Next'17_Rewind)
Introduction to Google Cloud Machine Learning (Google Cloud Next '17)

Introduction to Google Cloud Machine Learning (Google Cloud Next '17)

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  • Duration: 57:54
  • Updated: 10 Mar 2017
  • views: 21949
videos
Google Cloud is at the forefront of developing cutting-edge machine learning technology. Computer vision, predictive modeling, natural language understanding, and speech recognition are among the most popular business related uses of machine learning so far. In this video, you'll learn how to leverage machine learning for your own business applications. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
https://wn.com/Introduction_To_Google_Cloud_Machine_Learning_(Google_Cloud_Next_'17)
You can run that on App Engine? (Google Cloud Next '17)

You can run that on App Engine? (Google Cloud Next '17)

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  • Duration: 42:34
  • Updated: 10 Mar 2017
  • views: 6502
videos
Since 2007, App Engine has made building and deploying production scale applications for the web easy. App Engine is great for certain application patterns, but sometimes our apps don't fit these patterns so cleanly. We want to choose our favorite language to get the job done. When something goes wrong, we need full control and SSH directly into the machine running our code. Join Justin Beckwith for a tour of App Engine Flex, and learn how you can move beyond PaaS. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl
https://wn.com/You_Can_Run_That_On_App_Engine_(Google_Cloud_Next_'17)
Cloud Spanner 101: Google's mission-critical relational database  (Google Cloud Next '17)

Cloud Spanner 101: Google's mission-critical relational database (Google Cloud Next '17)

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  • Duration: 44:50
  • Updated: 11 Mar 2017
  • views: 10038
videos
In this video, Dominic Preuss shares an overview of Google Cloud Spanner, Google's mission-critical, relational and scalable application database, which is now publicly available as a managed service on Google Cloud. You'll learn how Cloud Spanner evolved, how Google uses it internally, and how you can use it for your next project. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG
https://wn.com/Cloud_Spanner_101_Google's_Mission_Critical_Relational_Database_(Google_Cloud_Next_'17)
Cloud Datastore 101: Overview of Google's scalable NoSQL document database (Google Cloud Next '17)

Cloud Datastore 101: Overview of Google's scalable NoSQL document database (Google Cloud Next '17)

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  • Duration: 37:36
  • Updated: 21 Mar 2017
  • views: 3995
videos
Find out what Google Cloud Datastore gives you, including Cloud Dataflow integration, a browser based editor, and a cross-platform API. See how you can get started building a serverless mobile and web application using Cloud Datastore. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG
https://wn.com/Cloud_Datastore_101_Overview_Of_Google's_Scalable_Nosql_Document_Database_(Google_Cloud_Next_'17)
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