Showing 1 open source project for "mattermost"

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  • Inspections+ Mobile forms for Dynamics 365 - Resco.net Icon
    Inspections+ Mobile forms for Dynamics 365 - Resco.net

    Start collecting field data without the hassles of complicated development thanks to resco.Inspections' native integration with Dynamics 365.

    Equip your frontline teams with a robust digital solution to simplify data collection and reporting. Handle inspections and audits effortlessly, even in remote locations, and create comprehensive reports on the spot, all integrated with Dynamics 365.
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  • Connect with customers in one app Icon
    Connect with customers in one app

    Businesses of all sizes seeking an AI-enhanced, all-in-one communication platform to unify voice, video, and messaging for improved team collaboration

    Dialpad Connect is an AI-powered unified communications platform that combines voice, video, and messaging to enhance team collaboration and customer interactions. It features real-time call transcription, automated call summaries, and AI-generated action items to help users stay focused during conversations. The platform integrates seamlessly with popular business apps like Salesforce, Zendesk, Microsoft Teams, and Google Workspace to streamline workflows. Designed for businesses of all sizes, Dialpad Connect delivers enterprise-grade reliability with 100% uptime SLA and robust disaster recovery. Security and privacy are core priorities, meeting standards like GDPR, HIPAA, and SOC 2 compliance. Dialpad Connect helps companies elevate customer experiences while boosting team productivity.
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    Rasa

    Rasa

    Open source machine learning framework to automate text conversations

    Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contextual assistants on Facebook Messenger, Slack, Google Hangouts, Webex Teams, Microsoft Bot Framework, Rocket.Chat, Mattermost, Telegram, and Twilio or on your own custom conversational channels. Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forths. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed. ...
    Downloads: 11 This Week
    Last Update:
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