Google's Best Artificial Intelligence

Google Workspace plans now include access to the Gemini app, NotebookLM, and Gemini in Gmail, Docs, Meet, and more.

An indispensable assistant

Gemini is now available in all Google Workspace applications. And this is a universe of unheard-of possibilities and exciting discoveries. We will list the main ones, those that are already working and useful. But the main feature of generative artificial intelligence is that everyone can find a new unique application for it. And it is exciting!

Current proposals, precise arguments

Gemini helps you optimize sales, generate leads, develop business proposals and marketing campaigns, and write messages to engage customers.

Increase the efficiency of your sales process
Gemini is your assistant, allowing you to tailor your prospect messaging, accelerate workflows from information sharing to proposal development, and free up your team's time to focus on selling.
Create documents and other assets faster than ever
Generative AI accelerates sales with fast word processing. Gemini for Workspace helps extract actionable information from documents to create briefs and generate images for presentations, freeing up your teams to spend more time and energy driving revenue.
Simplify repetitive tasks
Gemini for Workspace helps streamline repetitive administrative tasks, allowing your sales team to spend more time generating leads. Use Gemini to write messages, develop proposals, and more.

More accurate forecasts, brighter results

Gemini for Workspace's generative AI technology enables you to quickly write texts, evaluate large amounts of data, automate recurring tasks, and summarize documents and emails. This saves you time and allows you to focus on important strategic and creative tasks.

Writing
With the Gemini for Workspace text generator, you can easily draft emails, blog posts, sales proposals, marketing texts, and more. Gemini in Gmail can also quickly summarize emails and write a response.
Creating images
With the image generator in Google Slides, you can easily generate images based on a query. You can then customize them by adding styles to create visuals that match your brand and complement your content.
Structuring data
Gemini in Sheets helps you quickly create a tracker for an upcoming campaign launch or any other project
Advanced video meetings
Gemini in Meet helps you set up the best image and sound quality for video meetings with clients and agencies. In addition, AI functions support conversation translation into multiple languages.

Prompt response, professional consultations

Powered by artificial intelligence, it can quickly process large amounts of data and easily create messages and documents. From creating customer profiles to messaging users, Gemini speeds up workflows and enables more efficient use of team resources.

Improve customer satisfaction
Gemini for Workspace can convert speech to text and create customer interaction summaries. Use this add-on to profile your customers and prepare responses that will increase customer satisfaction and loyalty
Reduce the workload on your team
Gemini helps streamline your support team by quickly creating useful answers to common customer questions in Gmail and Google Docs. This reduces the workload on your team during peak customer activity periods.

Fast adaptation, interesting learning

HR can use Gemini to save time on a variety of tasks, including workforce planning, recruiting and onboarding new hires, updating training materials, and developing corporate policies.

Save time on recruiting
Use Gemini's Text Generator feature to write job descriptions for your organization. Gemini can also help streamline the hiring process with quick resume analysis and summaries to identify the right candidates. Gemini also makes it easier to track interview progress
Automate the onboarding process
Use Gemini for Workspace to create onboarding checklists to help you quickly onboard new hires. In Google Sheets, use the Sheet Generator feature to create draft training tasks, then refine them
Streamline training
Use Gemini for Workspace to update training materials or customize documentation for specific employees, making it more engaging and relevant. Gemini can also help you create original illustrations.

Easy communication, effective control

Gemini for Google Workspace helps your team work more efficiently: streamline communication, create to-do lists, plan project milestones, and more.

Your assistant in project management
Gemini for Workspace helps you organize project work, such as organizing project data, creating to-do lists for individual performers, and tracking budgets. Use Gemini in Sheets to create detailed project plans, and Gemini in Docs to generate quick reports.
Free up time for more important tasks
You can use AI tools in project management to simplify routine tasks so you can focus on successfully completing your goals. Gemini in Docs helps you generate text, format tables, and summarize information. Gemini in Slides can be used to create unique illustrations based on text queries. And in Google Meet, artificial intelligence will take notes for you during a meeting so you can quickly assign tasks.

NotebookLM

Your personal AI research assistant

Add sources

Upload PDFs and audio files, link to websites, YouTube videos, Google Docs and Slides. NotebookLM will summarize all the information and make interesting connections between topics using the multimodal AI model Gemini 2.0.

Get instant tips

Working with all the downloaded sources, NotebookLM will become your personal AI expert on the most important topics.

Read not only the answer, but also its source.

You can be confident that all your answers are accurate because NotebookLM backs them up with precise citations from your sources.

Learn on the go

With just one click, the new audio summaries feature turns your sources into engaging, in-depth discussions on the topic.

NotebookLM Plus

Collect useful insights faster with AI

Sales

Add information about your products, competitor analysis, and market research

NotebookLM can create a shared knowledge base that will enable your team to find more useful solutions and answer customer questions more accurately.

Training and adaptation

Add tutorials, presentations, and videos

NotebookLM will help new employees get up to speed and organize their work faster.

Marketing

Add blog posts, reports, and webinars

NotebookLM can regularly create educational content for your team based on existing materials.

Education

Add curriculum or syllabus, educational standards, notes, and course materials

NotebookLM can create summaries, lesson plans, guides, discussion questions, and quizzes.

User support

Add help center articles, FAQs, and product documentation

NotebookLM helps you quickly support your customers.

Development

Add product specifications, design documents, and user feedback reports

NotebookLM helps your team structure data, make informed decisions, and accelerate development.

FAQ
What is generative artificial intelligence in general and Gemini in particular?

What is generative AI?
Machine learning generative AI
The word as the basis for training generative AI
How to use generative AI
Can AI be wrong?
How Google develops AI

What is generative AI?
Generative AI is a type of machine learning model. It is not human, cannot think for itself, and has no emotions, but it is very good at finding patterns.

Previously, AI was used to process and recommend information. Now, generative AI can also help us create new content, such as images, music, and code.
Machine learning generative AI
Generative AI, like any other machine learning model, is trained by observing and matching patterns. To understand what a sneaker is, the AI learns from millions of photos of sneakers. Over time, the AI begins to recognize that sneakers are shoes with laces, a sole, and a logo that people wear on their feet.

With training, the AI can:
1. Accept queries like “Create an image of sneakers with a goat pendant.”
2. Combine its knowledge of sneakers, goats, and pendants.
3. Create an image even if it has never seen one before.
The word as the basis for training generative AI
Generative AI and big language models are part of the same technology. Generative AI can be trained on any type of data, but big language models use words as their primary source of training data.

Services built on big language models, like Gemini and Google Search’s generative models, can predict next words based on your query and the text you’ve generated. They can choose likely next words based on patterns they’ve learned during training. This allows them to generate creative responses.

If you ask them to continue the phrase “Harry [dash],” the model might predict that the next word will be “Stiles” or “Potter.”
How to use generative AI
Google’s generative AI services can help you get started on your creative journey. They’re not designed to do all the work for you or be the creators.

Here are three examples of how generative AI can be used.
1. Find creative ideas
  For example, ask for help writing a prequel to your favorite movie.
2. Ask questions that you think are impossible to answer
  For example, “Which came first, the chicken or the egg?”
3. Ask for help
  For example, ask for a title for your story or to identify the type of animal in a picture.
Use generative AI responsibly when you’re exploring, creating, and learning new things with it.
Can AI be wrong?
Since generative AI is an experimental service and is still in development, it can and will make mistakes.
- It can make things up
  When generative AI makes up an answer, it’s called a hallucination. Hallucinations occur because large language models don’t gather information from the internet like Google Search does. Instead, they predict what words will come next based on the data the user enters.
  For example, you can ask, “Who will win the women’s gymnastics competition at the 2032 Summer Olympics in Brisbane?” and get an answer even if the event hasn’t happened yet.
- It can misunderstand queries
  Sometimes generative AI misinterprets the meaning of words.
  For example, you might be interested in gulls, which are undecked rowing and sailing boats. If you ask about gulls, the AI might instead tell you about a species of shorebird.
Be critical of the answers you get from generative AI tools. Use Google and other resources to fact-check information presented as fact.

If you see a problem, report it. Many Google products that use generative AI have tools to report it. Your feedback helps us improve the models to make AI better for everyone.
How Google develops AI
In 2018, Google developed AI principles to help build tools that make the world a better place for everyone. These principles outline Google’s goal to develop innovative technologies that help responsibly solve some of society’s biggest challenges.

For example, Google uses AI to:
- support the fight against climate change, such as reducing traffic congestion and thereby reducing vehicle emissions;
- predict or track natural disasters, such as predicting floods in over 20 countries and tracking wildfires in real time;
- support innovation in healthcare, such as making tuberculosis diagnostics more accessible or helping to detect breast cancer at an early stage.
Google’s principles also list areas where AI will not be used (such as technologies that cause global harm or violate international law and human rights).

To develop and improve generative AI in Search and related machine learning technologies, Google uses data about how people interact with Search and other features. This may include data about search queries entered or feedback that users leave (such as likes and dislikes). Human review is one of many methods Google uses to responsibly evaluate and improve the quality of results and products.

When Google engineers improve the quality of Search machine learning models, appropriate steps are taken to protect user privacy.
- The data that Google engineers see and annotate is not associated with user accounts.
- Automated tools help identify and remove a wide range of personally identifiable and sensitive personal data.