Artificial intelligence features will soon be available in Google Workspace
ChatGPT is the fastest growing internet platform ever. In January, the chatbot had 100 million users just two months after its launch.
Although Google has been working on similar language models for some time, only the success of ChatGPT and the integration of AI into Microsoft’s Bing search engine made it move quickly.
Google has introduced its own language model called Bard. In the next phase, artificial intelligence should also be applied to e-mails, texts and spreadsheets.
Create content directly in Google Workspace
Google has it yesterday announcedImplementing generative AI features in Google Workspace. These include, among other things:
- Create drafts, replies, and summaries in Gmail
- Brainstorm ideas, edit, write and rewrite documents
- Create images, audio and videos in Google Slides
- Automatic classification in Google Sheets
In summary, it can be said that Google Workspace can be used in the same way that many users work with ChatGPT today.
An example from Google shows a user typing “Help me create a job description for a local seller.” Then the user gets – as always from ChatGPT – a template that can be edited and modified as desired.
In addition, Google Slides will offer the option to create images, videos and audio for presentations. This will work as known from other image generators such as DALL-E.
Google emphasizes that these AI features should support people and not replace their work. Productivity and creativity should be encouraged with your own AI assistant at your side.
Like their language model Bard, the AI features in Google Workspace will initially only be available to a small number of US testers..
For the rest of the world, these features, as well as Bard, will only be available later this year. The exact date has not been set yet. By the way, the release of the Google Bard didn’t exactly go smoothly — and that’s an understatement. You can read more about it here:
What do you think about Google wanting to implement AI in Docs, Gmail, and Co.? The language models available today are very powerful and impressive, but still prone to error. Is it a good idea to use them for professional purposes? What is your opinion? Are language models not yet ready for professional use, or are you already using them in your daily work? Let us know in the comments!