One of the AWS services that powers Slack Huddles, Amazon Transcribe, facilitates language detection capabilities, which is essential for teams working across time zones and countries.
“We wanted folks to be able to follow along live if they needed to with captions, and quickly find these clips later on in the search bar with a single keyword.” For Falola, the accessibility of the new transcription service stands out. Slack users can send short audio and video messages on the app to address a key pain point of hybrid work: too many meetings across time zones.Ĭlips can easily be shared in channels through DMs, and Amazon Transcribe takes voice and video data to create a transcript that’s easily searchable by keywords. Slack’s newest clips feature allows users to “share their work asynchronously through voice or video recordings,” says Falola. “Since you can screen share from anywhere in the world, you have the same shared context and can easily collaborate in real-time,” Falola says.
A new Slack Huddles feature facilitates lightweight audio calls that colleagues can jump in and out of, and an AI-powered speech transcription service offers fast and accurate live captioning. Partnering with AWS’s cloud-based ML services quickly minimized Slack’s involvement with daily IT management-leaving much needed time to focus on pushing more innovative products to market.įrom AI-powered transcription services to near real-time video processing capabilities, ML is woven throughout the user experience of Slack’s flagship products. Modernizing workforce collaboration with machine learning Powered by AWS’s powerful data and ML services, Slack engineers have developed tools that allow us to hop in and out of standups, collaborate in conference rooms, and even casually chat with coworkers face-to-face.
Seeing an opportunity to reinvent AI-driven ways to connect communities online, Slack partnered with AWS to recreate in-person collaboration touchpoints on the cloud.
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