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Build with G Suite

Category: Gmail | May 19, 2017

Today wraps our annual Google I/O conference. Thousands of developers from around the world gathered to learn about our latest developer products and share best practices, including how to build next-gen business applications using G Suite. In case you need it, here’s a list of the various developer tools you can use to customize app your G Suite experience at your organization.

1. Build and deploy custom apps using App Maker 

App Maker is a low-code, application development tool in G Suite that helps developers quickly build and deploy custom apps securely. It comes with built-in templates, a drag-and-drop UI and point-and-click data modeling. Plus, you can customize your app to connect with a wide range of APIs using Apps Script. App Maker is currently available as part of an Early Adopter Program for G Suite Business customers. Learn more.

App Maker GIF

2. Create seamless integrations with the G Suite APIs

Speaking of APIs, G Suite offers a number of ways for developers to integrate their app with ours and create a seamless experience for users. Here are a few of our favorite G Suite APIs.

  • Try the Sheets API which lets your developers read, write and format data in Sheets. Plus, you can automatically generate and update charts, pivot tables and more.
  • The Slides API helps you access and update presentations programmatically, pulling in data from various sources (including popular third-party apps) and producing polished template-based presentations in a fraction of the time.
  • Leverage the Gmail API to access and organize your Gmail inbox. You can program your application to read and send messages, create filters to automatically label, forward and archive messages, or even update vacation responders.
  • Finally, the Drive API allows you to manage Google Drive files and/or folders as well as leverage new Team Drive features programmatically. Developers can also use the Drive SDK to create Drive-enabled apps that handle custom files.

3. Customize your G Suite experience with Add-ons 

Using Apps Script, G Suite’s native JavaScript-based development platform, developers can easily customize their favorite apps like Sheets, Docs, and Forms by adding menu items, sidebars or editing files programmatically directly within these apps. We also recently introduced Gmail Add-ons in developer preview, so that third-party developers can bring the power of their apps directly into Gmail. Better yet, developers need only write their Gmail Add-on once, and it’ll run natively in Gmail on web, Android and iOS right away.

Quickbooks GIF
Image credit: Intuit and Prosperworks

To learn more about how you can integrate and better customize your business applications for G Suite, check out the G Suite Developers blog or the G Suite Developers show. You can also subscribe to the G Suite Developers newsletter for updates.


From: http://feedproxy.google.com/~r/OfficialGmailBlog/~3/3c8hGvR15Hs/

Build with G Suite

Category: Gmail | May 19, 2017

Today wraps our annual Google I/O conference. Thousands of developers from around the world gathered to learn about our latest developer products and share best practices, including how to build next-gen business applications using G Suite. In case you need it, here’s a list of the various developer tools you can use to customize app your G Suite experience at your organization.

1. Build and deploy custom apps using App Maker 

App Maker is a low-code, application development tool in G Suite that helps developers quickly build and deploy custom apps securely. It comes with built-in templates, a drag-and-drop UI and point-and-click data modeling. Plus, you can customize your app to connect with a wide range of APIs using Apps Script. App Maker is currently available as part of an Early Adopter Program for G Suite Business customers. Learn more.

2. Create seamless integrations with the G Suite APIs

Speaking of APIs, G Suite offers a number of ways for developers to integrate their app with ours and create a seamless experience for users. Here are a few of our favorite G Suite APIs.

  • Try the Sheets API which lets your developers read, write and format data in Sheets. Plus, you can automatically generate and update charts, pivot tables and more.
  • The Slides API helps you access and update presentations programmatically, pulling in data from various sources (including popular third-party apps) and producing polished template-based presentations in a fraction of the time.
  • Leverage the Gmail API to access and organize your Gmail inbox. You can program your application to read and send messages, create filters to automatically label, forward and archive messages, or even update vacation responders.
  • Finally, the Drive API allows you to manage Google Drive files and/or folders as well as leverage new Team Drive features programmatically. Developers can also use the Drive SDK to create Drive-enabled apps that handle custom files.

3. Customize your G Suite experience with Add-ons 

Using Apps Script, G Suite’s native JavaScript-based development platform, developers can easily customize their favorite apps like Sheets, Docs, and Forms by adding menu items, sidebars or editing files programmatically directly within these apps. We also recently introduced Gmail Add-ons in developer preview, so that third-party developers can bring the power of their apps directly into Gmail. Better yet, developers need only write their Gmail Add-on once, and it’ll run natively in Gmail on web, Android and iOS right away.

To learn more about how you can integrate and better customize your business applications for G Suite, check out the G Suite Developers blog or the G Suite Developers show. You can also subscribe to the G Suite Developers newsletter for updates.


From: http://feedproxy.google.com/~r/OfficialGmailBlog/~3/dUevk9KSV1c/

Build with G Suite

Category: Gmail | May 19, 2017

Today wraps our annual Google I/O conference. Thousands of developers from around the world gathered to learn about our latest developer products and share best practices, including how to build next-gen business applications using G Suite. In case you need it, here’s a list of the various developer tools you can use to customize app your G Suite experience at your organization.

1. Build and deploy custom apps using App Maker 

App Maker is a low-code, application development tool in G Suite that helps developers quickly build and deploy custom apps securely. It comes with built-in templates, a drag-and-drop UI and point-and-click data modeling. Plus, you can customize your app to connect with a wide range of APIs using Apps Script. App Maker is currently available as part of an Early Adopter Program for G Suite Business customers. Learn more.

App Maker GIF

2. Create seamless integrations with the G Suite APIs

Speaking of APIs, G Suite offers a number of ways for developers to integrate their app with ours and create a seamless experience for users. Here are a few of our favorite G Suite APIs.

  • Try the Sheets API which lets your developers read, write and format data in Sheets. Plus, you can automatically generate and update charts, pivot tables and more.
  • The Slides API helps you access and update presentations programmatically, pulling in data from various sources (including popular third-party apps) and producing polished template-based presentations in a fraction of the time.
  • Leverage the Gmail API to access and organize your Gmail inbox. You can program your application to read and send messages, create filters to automatically label, forward and archive messages, or even update vacation responders.
  • Finally, the Drive API allows you to manage Google Drive files and/or folders as well as leverage new Team Drive features programmatically. Developers can also use the Drive SDK to create Drive-enabled apps that handle custom files.

3. Customize your G Suite experience with Add-ons 

Using Apps Script, G Suite’s native JavaScript-based development platform, developers can easily customize their favorite apps like Sheets, Docs, and Forms by adding menu items, sidebars or editing files programmatically directly within these apps. We also recently introduced Gmail Add-ons in developer preview, so that third-party developers can bring the power of their apps directly into Gmail. Better yet, developers need only write their Gmail Add-on once, and it’ll run natively in Gmail on web, Android and iOS right away.

Quickbooks GIF

Image credit: Intuit and Prosperworks

To learn more about how you can integrate and better customize your business applications for G Suite, check out the G Suite Developers blog or the G Suite Developers show. You can also subscribe to the G Suite Developers newsletter for updates.


From: http://feedproxy.google.com/~r/OfficialGmailBlog/~3/t9nZPoPzFDE/

Save time with Smart Reply in Gmail

Category: Gmail | May 17, 2017

It’s pretty easy to read your emails while you’re on the go, but responding to those emails takes effort. Smart Reply, available in Inbox by Gmail and Allo, saves you time by suggesting quick responses to your messages. The feature already drives 12 percent of replies in Inbox on mobile. And starting today, Smart Reply is coming to Gmail for Android and iOS too. 

Smart Reply suggests three responses based on the email you received:

Smart_Reply_in_Gmail_on_iOS_static_for_blog.width-1000_ue7xiKi.png

Once you’ve selected one, you can send it immediately or edit your response starting with the Smart Reply text. Either way, you’re saving time.

Smart_Reply_in_Gmail_Pixel_Gray_background.gif

Smart Reply utilizes machine learning to give you better responses the more you use it. So if you’re more of a “thanks!” than a “thanks.” person, we’ll suggest the response that’s, well, more you! If you want to learn about the smarts behind Smart Reply, check out the Google Research Blog.

Smart Reply will roll out globally on Android and iOS in English first, and Spanish will follow in the coming weeks. Stay tuned for more languages coming soon!


From: http://feedproxy.google.com/~r/OfficialGmailBlog/~3/FjZXBLNSFMc/

Save time with Smart Reply in Gmail

Category: Gmail | May 17, 2017

It’s pretty easy to read your emails while you’re on the go, but responding to those emails takes effort. Smart Reply, available in Inbox by Gmail and Allo, saves you time by suggesting quick responses to your messages. The feature already drives 12 percent of replies in Inbox on mobile. And starting today, Smart Reply is coming to Gmail for Android and iOS too. 

Smart Reply suggests three responses based on the email you received:

Once you’ve selected one, you can send it immediately or edit your response starting with the Smart Reply text. Either way, you’re saving time.

Smart Reply utilizes machine learning to give you better responses the more you use it. So if you’re more of a “thanks!” than a “thanks.” person, we’ll suggest the response that’s, well, more you! If you want to learn about the smarts behind Smart Reply, check out the Google Research Blog.

Smart Reply will roll out globally on Android and iOS in English first, and Spanish will follow in the coming weeks. Stay tuned for more languages coming soon!


From: http://feedproxy.google.com/~r/OfficialGmailBlog/~3/4amaxgw1nNM/

Save time with Smart Reply in Gmail

Category: Gmail | May 17, 2017

It’s pretty easy to read your emails while you’re on the go, but responding to those emails takes effort. Smart Reply, available in Inbox by Gmail and Allo, saves you time by suggesting quick responses to your messages. The feature already drives 12 percent of replies in Inbox on mobile. And starting today, Smart Reply is coming to Gmail for Android and iOS too. 

Smart Reply suggests three responses based on the email you received:

Smart Reply in Gmail on iOS

Once you’ve selected one, you can send it immediately or edit your response starting with the Smart Reply text. Either way, you’re saving time.

Smart Reply in Gmail on Android

Smart Reply utilizes machine learning to give you better responses the more you use it. So if you’re more of a “thanks!” than a “thanks.” person, we’ll suggest the response that’s, well, more you! If you want to learn about the smarts behind Smart Reply, check out the Google Research Blog.

Smart Reply will roll out globally on Android and iOS in English first, and Spanish will follow in the coming weeks. Stay tuned for more languages coming soon!


From: http://feedproxy.google.com/~r/OfficialGmailBlog/~3/DCvYXXfWdRY/

Save time with Smart Reply in Gmail

Category: Gmail | May 17, 2017

It’s pretty easy to read your emails while you’re on the go, but responding to those emails takes effort. Smart Reply, available in Inbox by Gmail and Allo, saves you time by suggesting quick responses to your messages. The feature already drives 12 percent of replies in Inbox on mobile. And starting today, Smart Reply is coming to Gmail for Android and iOS too. 

Smart Reply suggests three responses based on the email you received:

Smart Reply in Gmail on iOS

Once you’ve selected one, you can send it immediately or edit your response starting with the Smart Reply text. Either way, you’re saving time.

Smart Reply in Gmail on Android

Smart Reply utilizes machine learning to give you better responses the more you use it. So if you’re more of a “thanks!” than a “thanks.” person, we’ll suggest the response that’s, well, more you! If you want to learn about the smarts behind Smart Reply, check out the Google Research Blog.

Smart Reply will roll out globally on Android and iOS in English first, and Spanish will follow in the coming weeks. Stay tuned for more languages coming soon!


From: http://feedproxy.google.com/~r/OfficialGmailBlog/~3/MqKmjTXw04k/

How machine learning in G Suite makes people more productive

Category: Gmail | May 4, 2017

Email management, formatting documents, creating expense reports. These are just some of the time-sinks that can affect your productivity at work. At Google, this is referred to as “overhead”—time spent working on tasks that do not directly relate to creative output—and it happens a lot.

According to a Google study in 2015, the average worker spends only about 5 percent of his or her time actually coming up with the next big idea. The rest of our time is caught in the quicksand of formatting, tracking, analysis or other mundane tasks. That’s where machine learning can help.

Machine learning algorithms observe examples and make predictions based on data. In G Suite, machine learning models make your workday more efficient by taking over menial tasks, like scheduling meetings, or by predicting information you might need and surfacing it for you, like suggesting Docs.

Time spent chart

Source: Google Data, April 2015

Eliminating spam within Gmail using machine learning

One of the earliest machine learning use cases for G Suite was within Gmail. Historically, Gmail used a rule-based system, which meant our anti-spam team would create new rules to match individual spam patterns. Over a decade of using this process, we improved spam detection accuracy to 99 percent.

Starting in 2014, our team augmented this rule-based system to generate rules using machine learning algorithms instead, taking spam detection one step further. Now, we use TensorFlow and other machine learning to continually regenerate the “spam filter,” so the system has learned to predict which emails are most likely junk. Machine learning finds new patterns and adapts far quicker than previous manual systems—it’s a big part of the reason that more than one billion Gmail users avoid spam within their account.

See machine learning in your favorite G Suite apps

G Suite’s goal is to help teams accomplish more with its intelligent apps, no matter where they are in the world. And chances are, you’ve already seen machine learning integrated into your day-to-day work to do just that.

Smart Reply, for example, uses machine learning to generate three natural language responses to an email. So if you find yourself on the road or pressed for time and in need of a quick way to clear your inbox, let Smart Reply do it for you.

Smart Reply GIF

Explore in Docs, Slides and Sheets uses machine learning to eliminate time spent on mundane tasks, like tracking down documents or information on the web, reformatting presentations or performing calculations within spreadsheets.

Explore

Quick Access in Drive predicts and suggests files you might need within Drive. Using machine intelligence, Quick Access can predict files based on who you share files with frequently, when relevant meetings occur within your Calendar or if you tend to use files at certain times of the day.

Quick Access

To learn more about how machine intelligence can make your life easier, sign up for this free webinar on June 15, 2017, featuring experts from MIT Research, Google and other companies. You can also check out the Big Data and Machine Learning blog or watch this video from Google Cloud Next with Ryan Tabone, director of product management at Google, where he explains more about “overhead.”


From: http://feedproxy.google.com/~r/OfficialGmailBlog/~3/0omRP5opnVg/

How machine learning in G Suite makes people more productive

Category: Gmail | May 4, 2017

Email management, formatting documents, creating expense reports. These are just some of the time-sinks that can affect your productivity at work. At Google, this is referred to as “overhead”—time spent working on tasks that do not directly relate to creative output—and it happens a lot.

According to a Google study in 2015, the average worker spends only about 5 percent of his or her time actually coming up with the next big idea. The rest of our time is caught in the quicksand of formatting, tracking, analysis or other mundane tasks. That’s where machine learning can help.

Machine learning algorithms observe examples and make predictions based on data. In G Suite, machine learning models make your workday more efficient by taking over menial tasks, like scheduling meetings, or by predicting information you might need and surfacing it for you, like suggesting Docs.

Eliminating spam within Gmail using machine learning

One of the earliest machine learning use cases for G Suite was within Gmail. Historically, Gmail used a rule-based system, which meant our anti-spam team would create new rules to match individual spam patterns. Over a decade of using this process, we improved spam detection accuracy to 99 percent.

Starting in 2014, our team augmented this rule-based system to generate rules using machine learning algorithms instead, taking spam detection one step further. Now, we use TensorFlow and other machine learning to continually regenerate the “spam filter,” so the system has learned to predict which emails are most likely junk. Machine learning finds new patterns and adapts far quicker than previous manual systems—it’s a big part of the reason that more than one billion Gmail users avoid spam within their account.

See machine learning in your favorite G Suite apps

G Suite’s goal is to help teams accomplish more with its intelligent apps, no matter where they are in the world. And chances are, you’ve already seen machine learning integrated into your day-to-day work to do just that.

Smart Reply, for example, uses machine learning to generate three natural language responses to an email. So if you find yourself on the road or pressed for time and in need of a quick way to clear your inbox, let Smart Reply do it for you.

Smart Reply GIF

Explore in Docs, Slides and Sheets uses machine learning to eliminate time spent on mundane tasks, like tracking down documents or information on the web, reformatting presentations or performing calculations within spreadsheets.

Quick Access in Drive predicts and suggests files you might need within Drive. Using machine intelligence, Quick Access can predict files based on who you share files with frequently, when relevant meetings occur within your Calendar or if you tend to use files at certain times of the day.

Quick Access

To learn more about how machine intelligence can make your life easier, sign up for this free webinar on June 15, 2017, featuring experts from MIT Research, Google and other companies. You can also check out the Big Data and Machine Learning blog or watch this video from Google Cloud Next with Ryan Tabone, director of product management at Google, where he explains more about “overhead.”


From: http://feedproxy.google.com/~r/OfficialGmailBlog/~3/O-WoDmj7Trc/

How machine learning in G Suite makes people more productive

Category: Gmail | May 4, 2017

Email management, formatting documents, creating expense reports. These are just some of the time-sinks that can affect your productivity at work. At Google, this is referred to as “overhead”—time spent working on tasks that do not directly relate to creative output—and it happens a lot.

According to a Google study in 2015, the average worker spends only about 5 percent of his or her time actually coming up with the next big idea. The rest of our time is caught in the quicksand of formatting, tracking, analysis or other mundane tasks. That’s where machine learning can help.

Machine learning algorithms observe examples and make predictions based on data. In G Suite, machine learning models make your workday more efficient by taking over menial tasks, like scheduling meetings, or by predicting information you might need and surfacing it for you, like suggesting Docs.

Time spent chart

Source: Google Data, April 2015

Eliminating spam within Gmail using machine learning

One of the earliest machine learning use cases for G Suite was within Gmail. Historically, Gmail used a rule-based system, which meant our anti-spam team would create new rules to match individual spam patterns. Over a decade of using this process, we improved spam detection accuracy to 99 percent.

Starting in 2014, our team augmented this rule-based system to generate rules using machine learning algorithms instead, taking spam detection one step further. Now, we use TensorFlow and other machine learning to continually regenerate the “spam filter,” so the system has learned to predict which emails are most likely junk. Machine learning finds new patterns and adapts far quicker than previous manual systems—it’s a big part of the reason that more than one billion Gmail users avoid spam within their account.

See machine learning in your favorite G Suite apps

G Suite’s goal is to help teams accomplish more with its intelligent apps, no matter where they are in the world. And chances are, you’ve already seen machine learning integrated into your day-to-day work to do just that.

Smart Reply, for example, uses machine learning to generate three natural language responses to an email. So if you find yourself on the road or pressed for time and in need of a quick way to clear your inbox, let Smart Reply do it for you.

Smart Reply GIF

Explore in Docs, Slides and Sheets uses machine learning to eliminate time spent on mundane tasks, like tracking down documents or information on the web, reformatting presentations or performing calculations within spreadsheets.

Explore

Quick Access in Drive predicts and suggests files you might need within Drive. Using machine intelligence, Quick Access can predict files based on who you share files with frequently, when relevant meetings occur within your Calendar or if you tend to use files at certain times of the day.

Quick Access

To learn more about how machine intelligence can make your life easier, sign up for this free webinar on June 15, 2017, featuring experts from MIT Research, Google and other companies. You can also check out the Big Data and Machine Learning blog or watch this video from Google Cloud Next with Ryan Tabone, director of product management at Google, where he explains more about “overhead.”


From: http://feedproxy.google.com/~r/OfficialGmailBlog/~3/U0_35uuGHO0/