Mattermost Enhances Operational Workflows Via “Customer-controlled AI Architecture”

KUALA LUMPUR, June 8 (Bernama) -- Mattermost Inc, announced a new “Customer-Controlled AI Architecture” enabling defence, government and technology enterprises to apply generative artificial intelligence (AI) technologies to enhancing or replacing operational workflows while meeting stringent data control requirements and avoiding lock-in to vendor-specific platforms.

“If you are part of an organisation that has clear competitors or adversaries, then you are in a race right now to unlock the power of AI for gaining speed and decision advantage.

“Our release serves organisations competing in that race who also need to meet strict security and sovereignty requirements,” said Mattermost Chief Executive Officer, Ian Tien in a statement.

The open source, self-managed solution provides feature-rich, chat-based collaboration across web, desktop and mobile experiences to engage with colleagues as well as AI bots powered by an interchangeable set of open source AI platforms, known as large language models (LLMs).

The system can be fully controlled by a customer within their private network or data centre, and can even be deployed to air-gapped networks disconnected from the internet.

“While we are starting with an open source, private cloud framework, over time we intend to add integration with proprietary, public cloud based AI models, because we believe enterprises are best served with a range of solutions to meet different needs,” added Tien.

Benefits of Mattermost’s customer-controlled AI platform include fully-featured chat-based collaboration; conversational AI bots that can be added to channels and engaged like human users; and scalable AI model framework that can scale up to deploy on a private cloud or data centre.

Mattermost provides secure collaboration for technical and operational teams that need to meet nation-state-level security and trust requirements.

-- BERNAMA