DROPBOX adds new features to DASH, its AI power search tool

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Companies like Google and Microsoft have equipped their performance apartments with AI and assistants, while startup companies such as Clickup and Readai have focused strongly on the construction of AI integrations and search capabilities. In accordance with this increasing trend of infusion of digital work apartments with AI, Dropbox, on Thursday, it upgraded its AI, DASH search tool, first introduced in 2023.

The company adds AI “understanding” of different types of DASH content, which means that users can search in audio, video and images in addition to text. The company also adds people who are looking to allow users to look for a person who has worked on a specific project or to look for a subject expert. S

Last year, DROPBOX introduced Dash for business to allow businesses to use AI search. This year, this improves Enterprise’s Dash toolkit by adding support to IT administrators to exclude some sensitive documents from the search results.

Dropbox will allow users to look for different media formats through natural language requests. Image loans: Dropbox

Dropbox already There are functions to summarize documents using This is AI. With this new edition, the company introduces new writing tools that use summons from various data sources to create new documents and presentations. The company said these tools that live in DASH can collect information from email, meetings notes and existing documents to create project plans, notes or short. The main idea is that users will not have to skip from one application to another to read some information and add it to a document.

What’s more, Dropbox adds new integrations to DASH, including integration for communication tools such as Slack, Goom and Microsoft teams, along with project management and creative tools such as Figma, Canva and JIRA. This will help users to look for information in their projects on different platforms, according to Dropbox.

As AI suppliers launch new AI models, companies operating in the performance and labor sectors realize that it is easier to make AI look at a lot of information, summarize it and also generate new content based on it. The challenge for these companies is to build features quickly enough, while integrating with other platforms to keep their customers happy.

 
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