How is

Slack

Using AI?

Enhances productivity without compromising data privacy

Novelty Rating:

4

/5

Project Overview

Building secure, private AI features for summarizing and answering questions in Slack.

Layman's Explanation

Slack’s AI can summarize chats or answer your questions without peeking into data it shouldn’t—your info stays yours.

Analogy

It’s like having a super-helpful assistant who remembers everything you said, but locks it all in a vault only you can open.

Details

Slack developed Slack AI to help users quickly summarize conversations and get instant answers from their messages, all while prioritizing security and privacy. The system is designed so that data remains within the customer’s workspace and is never used to train shared models. Slack employs isolated processing, role-based access control, and strong encryption to ensure that AI-powered features like thread summaries and search-based answers are secure by design. This allows organizations to benefit from generative AI while meeting strict compliance needs.

More Use Cases in

Technology

Project Estimates

Estimated Tech Stack

  • Kafka
  • Apache Spark
  • Apache Beam
  • Apache Airflow
  • Argo
  • PyTorch
  • CLIP
  • SigLIP
  • BLIP-2
  • IDEFICS
  • Llama 3.1
  • FAISS
  • Milvus
  • Kubernetes
  • NVIDIA Triton
  • TorchServe
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