Slack Introduces AI Tools That Can Help Users Complete Their Jobs

Slack brings its Artificial Intelligence (AI) tools to the platform, (photo: dock.slack)

Slack brings its Artificial Intelligence (AI) tools to the platform, which is capable of carrying out tasks such as summarizing the channel's spotlight, summarizing a series of messages, and looking for answers in messages.

Dijukuki Slack AI, fitur ini akan mulai uji coba akhir tahun ini dan mulai tersedia untuk umum pada 2024. Perusahaan mengatakan, siapapun dapat bekerja lebih smarti dan menghematkan waktu dengan AI yang terkenggah langsung di interkat perkataan aplikasi.

"We focus on providing a simpler, more fun, and more efficient set of tools to customers so that everyone can do the best job of their lives," said Slack's Chief Product Officer, Noah Desai Weiss, quoted Thursday, September 7.

One of the Slack AI features, namely the recap of the channel, instantly provides the spotlight on any channel, so that users can immediately switch to the most important thing.

Each recap can also be used to save time on tedious jobs, so users can create a draft status report from the project channel, take the main theme from the feedback channel, and more.

In the summary feature of the message series, users can get the latest information about any messaging series in just one click.

They can quickly follow a long discussion, whether their team discusses an incident, discusses the next step, or exchange ideas.

Next is the search answer feature, which helps customers get maximum results from their conversation data and all the contexts they have from expertise and experience across organizations.

Users simply ask questions or searches, which will not only provide results with relevant messages, files, and channels, but also share a summary generated by AI.

In fact, they can get the answer needed in seconds, whether users want to learn a project or topic, find internal experts, understand the team process, and more.

The company emphasizes that they will offer security and compliance. Most importantly, these features do not use customer data for model training while ensuring there is no sharing of data between customers.