Tag Archives: G Suite

Bring your idea to life with G Suite

You know that feeling when you present on a project after working on it for too many months? It’s great. Perhaps the most gratifying part of wrapping a project (besides finally being done), is reflecting on how your idea came to be more than just an idea.

For most of us in the workplace, ideas take shape in many forms—and G Suite can help you along the way. Here’s a snapshot of how you can bring an idea to life using G Suite’s intelligent apps:

1. You mention an idea to a teammate over lunch

Some of our best ideas happen outside the confines of the office. You mention an idea to a teammate in passing and they tell you, “Hey, that’s not a bad thought, but we should meet to flesh this out.”

Take your idea to the next level by getting your group together with Find a Time and Find a Room features in Calendar. Find a Time intelligently suggests times that you and teammates are available to meet and books a time for you. Find a Room takes over the hassle of finding an available meeting room. All you have to do is show up and brainstorm.

Find a Time gif

2. Step into a meeting room and map out your idea 

Now that you’ve booked a room, you can put more structure behind this “thing” you’re creating with Jamboard—our collaborative, digital whiteboard for sharing ideas in real-time and mapping out your project plan. Check it out:

If you used legacy systems in the past, you probably brought documents, sticky notes or other prep materials to a brainstorm. With Jamboard, you securely access all of those files directly in the cloud within your “jam.” Simply use the sticky notes tool, pull information and images from the web, or add files from Docs, Sheets or Slides to your brainstorm directly from Drive.

3. Give your brain a rest and come back to your work later

Sometimes the best thing you can do for a project is take a break and revisit it with fresh eyes. Jamboard makes this easy because it saves your work directly to Drive. If you’re on the go and want to revisit a file, you can rely on Drive’s Quick Access feature to automatically find files for you. And if you use Team Drives, you can add relevant files to securely share access and edit rights with others that need to weigh in.

team drives transparent

4. Make final edits and present your idea

Once you’ve put the final touches on your “jam,” you can present your work through Hangouts, which integrates seamlessly with Jamboard. Add team members to the Hangout to see your work, and they can even use the Jamboard companion app to make edits from their mobile phones or tablets. 

For a presentation you really want to polish, you can also import your work from Jamboard into a presentation in Slides. If you don’t like to fuss with formatting, use Explore in Slides, powered by machine intelligence, to make your presentation look top notch. Choose from dozens of design recommendations and apply them instantly with one click. Now you’re ready to sell your idea.

Explore in Sheets

5. Track your progress

Coming up with the ideas is the fun part. Executing and tracking success is often more difficult. G Suite can help with that, too. Use templates in Sheets to create detailed project trackers or manage employee shift schedules. Sheets can also help you quantify results at the end of your project. Use Explore in Sheets (powered by machine intelligence) to get insights instantly. Just ask questions—in words, not formulas—and get actionable insights from your data. And once you’re finished, create a Form to solicit feedback on how to improve for the next time.

These are just some of the ways that G Suite can help you create—and execute—your best work. For more tips on how to use G Suite products, check out the G Suite Show.

Source: Drive


Bring your idea to life with G Suite

You know that feeling when you present on a project after working on it for too many months? It’s great. Perhaps the most gratifying part of wrapping a project (besides finally being done), is reflecting on how your idea came to be more than just an idea.

For most of us in the workplace, ideas take shape in many forms—and G Suite can help you along the way. Here’s a snapshot of how you can bring an idea to life using G Suite’s intelligent apps:

1. You mention an idea to a teammate over lunch

Some of our best ideas happen outside the confines of the office. You mention an idea to a teammate in passing and they tell you, “Hey, that’s not a bad thought, but we should meet to flesh this out.”

Take your idea to the next level by getting your group together with Find a Time and Find a Room features in Calendar. Find a Time intelligently suggests times that you and teammates are available to meet and books a time for you. Find a Room takes over the hassle of finding an available meeting room. All you have to do is show up and brainstorm.

Find a Time gif

2. Step into a meeting room and map out your idea 

Now that you’ve booked a room, you can put more structure behind this “thing” you’re creating with Jamboard—our collaborative, digital whiteboard for sharing ideas in real-time and mapping out your project plan. Check it out:

If you used legacy systems in the past, you probably brought documents, sticky notes or other prep materials to a brainstorm. With Jamboard, you securely access all of those files directly in the cloud within your “jam.” Simply use the sticky notes tool, pull information and images from the web, or add files from Docs, Sheets or Slides to your brainstorm directly from Drive.

3. Give your brain a rest and come back to your work later

Sometimes the best thing you can do for a project is take a break and revisit it with fresh eyes. Jamboard makes this easy because it saves your work directly to Drive. If you’re on the go and want to revisit a file, you can rely on Drive’s Quick Access feature to automatically find files for you. And if you use Team Drives, you can add relevant files to securely share access and edit rights with others that need to weigh in.

team drives transparent

4. Make final edits and present your idea

Once you’ve put the final touches on your “jam,” you can present your work through Hangouts, which integrates seamlessly with Jamboard. Add team members to the Hangout to see your work, and they can even use the Jamboard companion app to make edits from their mobile phones or tablets. 

For a presentation you really want to polish, you can also import your work from Jamboard into a presentation in Slides. If you don’t like to fuss with formatting, use Explore in Slides, powered by machine intelligence, to make your presentation look top notch. Choose from dozens of design recommendations and apply them instantly with one click. Now you’re ready to sell your idea.

Explore in Sheets

5. Track your progress

Coming up with the ideas is the fun part. Executing and tracking success is often more difficult. G Suite can help with that, too. Use templates in Sheets to create detailed project trackers or manage employee shift schedules. Sheets can also help you quantify results at the end of your project. Use Explore in Sheets (powered by machine intelligence) to get insights instantly. Just ask questions—in words, not formulas—and get actionable insights from your data. And once you’re finished, create a Form to solicit feedback on how to improve for the next time.

These are just some of the ways that G Suite can help you create—and execute—your best work. For more tips on how to use G Suite products, check out the G Suite Show.

Protecting you against phishing

As many email users know, phishing attacks—or emails that impersonate a trusted source to trick users into sharing information—are a pervasive problem. If you use Gmail, you can rest assured that every day, millions of phishing emails are blocked from ever reaching your inbox.

This week, we defended against an email phishing campaign that tricked some of our users into inadvertently granting access to their contact information, with the intent to spread more phishing emails. We took quick action to revoke all access granted to the attacker as well as steps to reduce and prevent harm from future variants of this type of attack.

Here’s some background to help you understand how the campaign worked, how we addressed it and how you can better protect yourself against attacks.

How the campaign worked and how we addressed it

Victims of this attack received an email that appeared to be an invite to a Google Doc from one of their contacts. When users clicked the link in the attacker’s email, it directed them to the attacker’s application, which requested access to the user’s account under the false pretense of gaining access to the Google Doc. If the user authorized access to the application (through a mechanism called OAuth), it used the user's contact list to send the same message to more people.

Upon detecting this issue, we immediately responded with a combination of automatic and manual actions that ended this campaign within an hour. We removed fake pages and applications, and pushed user-protection updates through Safe Browsing, Gmail, Google Cloud Platform, and other counter-abuse systems. Fewer than 0.1% of our users were affected by this attack, and we have taken steps to re-secure affected accounts.

We protect our users from phishing attacks in a number of ways, including:

  • Using machine learning-based detection of spam and phishing messages, which has contributed to 99.9% accuracy in spam detection
  • Providing Safe Browsing warnings about dangerous links, within Gmail and across more than 2 billion browsers
  • Preventing suspicious account sign-ins through dynamic, risk-based challenges
  • Scanning email attachments for malware and other dangerous payloads 

In addition, we’re taking multiple steps to combat this type of attack in the future, including updating our policies and enforcement on OAuth applications, updating our anti-spam systems to help prevent campaigns like this one, and augmenting monitoring of suspicious third-party apps that request information from our users.

How users can protect themselves

We’re committed to keeping your Google Account safe, and have layers of defense in place to guard against sophisticated attacks of all types, from anti-hijacking systems detecting unusual behavior, to machine learning models that block malicious content, to protection measures in Chrome and through Safe Browsing that guard against visiting suspicious sites. In addition, here are a few ways users can further protect themselves:

How G Suite admins can protect their users 

We’ve separately notified G Suite customers whose users were tricked into granting OAuth access. While no further admin or user action is required for this incident, if you are a G Suite admin, consider the following best practices to generally improve security:

Here is a list of more tips and tools to help you stay secure on the web.

Source: Google Cloud


Protecting you against phishing

As many email users know, phishing attacks—or emails that impersonate a trusted source to trick users into sharing information—are a pervasive problem. If you use Gmail, you can rest assured that every day, millions of phishing emails are blocked from ever reaching your inbox.

This week, we defended against an email phishing campaign that tricked some of our users into inadvertently granting access to their contact information, with the intent to spread more phishing emails. We took quick action to revoke all access granted to the attacker as well as steps to reduce and prevent harm from future variants of this type of attack.

Here’s some background to help you understand how the campaign worked, how we addressed it and how you can better protect yourself against attacks.

How the campaign worked and how we addressed it

Victims of this attack received an email that appeared to be an invite to a Google Doc from one of their contacts. When users clicked the link in the attacker’s email, it directed them to the attacker’s application, which requested access to the user’s account under the false pretense of gaining access to the Google Doc. If the user authorized access to the application (through a mechanism called OAuth), it used the user's contact list to send the same message to more people.

Upon detecting this issue, we immediately responded with a combination of automatic and manual actions that ended this campaign within an hour. We removed fake pages and applications, and pushed user-protection updates through Safe Browsing, Gmail, Google Cloud Platform, and other counter-abuse systems. Fewer than 0.1% of our users were affected by this attack, and we have taken steps to re-secure affected accounts.

We protect our users from phishing attacks in a number of ways, including:

  • Using machine learning-based detection of spam and phishing messages, which has contributed to 99.9% accuracy in spam detection
  • Providing Safe Browsing warnings about dangerous links, within Gmail and across more than 2 billion browsers
  • Preventing suspicious account sign-ins through dynamic, risk-based challenges
  • Scanning email attachments for malware and other dangerous payloads 

In addition, we’re taking multiple steps to combat this type of attack in the future, including updating our policies and enforcement on OAuth applications, updating our anti-spam systems to help prevent campaigns like this one, and augmenting monitoring of suspicious third-party apps that request information from our users.

How users can protect themselves

We’re committed to keeping your Google Account safe, and have layers of defense in place to guard against sophisticated attacks of all types, from anti-hijacking systems detecting unusual behavior, to machine learning models that block malicious content, to protection measures in Chrome and through Safe Browsing that guard against visiting suspicious sites. In addition, here are a few ways users can further protect themselves:

How G Suite admins can protect their users 

We’ve separately notified G Suite customers whose users were tricked into granting OAuth access. While no further admin or user action is required for this incident, if you are a G Suite admin, consider the following best practices to generally improve security:

Here is a list of more tips and tools to help you stay secure on the web.

Source: Google Cloud


How machine learning in G Suite makes people more productive

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.”

Source: Gmail Blog


How machine learning in G Suite makes people more productive

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.”

Source: Gmail Blog


How machine learning in G Suite makes people more productive

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% 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%.

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 Tensor Flow 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.”

Source: Gmail Blog


How machine learning in G Suite makes people more productive

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.”

Source: Drive


How machine learning in G Suite makes people more productive

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% 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%.

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 Tensor Flow 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.”

How machine learning in G Suite makes people more productive

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.”

Source: Gmail Blog