AI News

Artificial intelligence (AI) has been subtly transforming how organizations collaborate in ways that many end users now take for granted, but Atlassian today is now moving to apply AI to videos that have increasingly become a core element of many workflows.

In the wake of acquiring Loom AI last year to add a video communications tool to its portfolio, Atlassian is now extending the capabilities of that platform to compose a text message automatically that describes why someone should watch a specific video.

In addition, when recording a voiceover on another piece of content displayed on your Chrome browser, Loom AI will now automatically adds that link as a call-to-action on your finished video.

Finally, a Variables feature set capability, now in beta, enables user to record a video once, and Loom will duplicate it with a personalized title unique for each viewer that includes, for example, their individual or company names or job titles.

Loom AI has been gaining traction because it enables end users to create videos that they can easily edit to remove flubs and other mistakes versus having to record the entire video. Atlassian claims more than 200,000 teams already use the tool as part of an asynchronous workflow.

Videos that make it easier to, for example, describe how a task should be completed or how a function in an application works are increasingly being used to streamline communications across distributed teams, says Erika Trautman, senior vice president and general manager for product at Atlassian. Loom AI makes it simpler to create and edit those videos using AI capabilities that can be tuned to learn the specific jargon of an industry or individual company, she noted.

Each end user can then determine at what speed they want to consume that video content, adds Trautman. “I personally watch a lot of videos at 1.5x speed,” says Trautman.

The overall goal is to transparently inject AI capabilities into applications to improve productivity using multiple AI models that Atlassian is developing under a larger Atlassian Intelligence initiative, adds Trautman.

For example, Atlassian is adding new capabilities to its Trello project management software to automatically generate additional descriptions and comments to provide summarizations and address, for example, grammar mistakes.

It’s not clear to what degree AI will transform workflows, but the easier it becomes to create and modify content the more effective many members of a team are likely to become. Not every member of an organization is likely to be a gifted writer, so AI capabilities will enable, for example, a salesperson to craft better messages.

Most employees are already relying on a mix of AI tools to improve and streamline communications. There’s a clear need to train employees on how to use these tools to the greatest effect possible but many of them are already experimenting with a range of AI enabled capabilities. The challenge, as always, will be making sure employees understand how to not only master every capability but also ensuring these tools are used safely within a set of best practices every organization should define.