Sections of this topic
In this article, we’ll look at the reasons behind Mattermost’s new AI-enhanced features, which bring generative, functional, and domain-specific intelligence to its secure, open-source collaboration platform.
Key Takeaways:
- Mattermost adds generative AI capabilities for better integration with OpenAI and chatbots.
- Functional intelligence integration with ServiceNow and Ask Sage boosts employee and customer service.
- Domain-specific AI integration provides privacy and security compliance for data analysis and summarization.
- Data-centric AI approach enables fine-tuning models and context-based training.
Mattermost’s Triple AI Integration
Mattermost, a prominent player in the collaboration platform market, has announced its latest move to integrate three types of artificial intelligence into its open-source platform.
The new AI features will significantly improve the platform’s ability to streamline processes, enhance service, and maintain high levels of security and compliance.
This triple AI integration will help Mattermost stand out in the highly competitive collaboration tools market, alongside major players such as Slack, Atlassian, and Asana.
Generative AI and Open-Source Collaboration
The first type of AI that Mattermost has integrated into its platform is generative AI.
This allows for better integration with OpenAI, enabling organizations to build chatbots and gain valuable insights into their workflows.
Generative AI can also help organizations create or summarize content and extract useful information from vast amounts of data.
The framework provided by Mattermost allows organizations to plug in different providers, including OpenAI’s ChatGPT, as well as private cloud large language models (LLMs).
By incorporating generative AI, Mattermost aims to empower organizations to innovate and stay ahead of the curve in an increasingly data-driven world.
Functional Intelligence for Enhanced Service
The second AI category that Mattermost has integrated is functional intelligence.
This type of AI focuses on improving employee and customer service by augmenting existing processes and systems.
For instance, Mattermost has integrated with ServiceNow and its virtual agent platform, which exemplifies functional intelligence in action.
By partnering with ServiceNow, Mattermost can provide an enhanced level of service to its users, helping them save time and resources.
Another example of functional intelligence is Mattermost’s integration with technology from Ask Sage.
This partnership allows teams to access fast data analysis and summarization capabilities, enabling them to extract vital insights and adapt to changing circumstances.
Domain-Specific AI for Security and Compliance
The third type of AI integration Mattermost has undertaken is domain-specific AI.
This category focuses on deploying AI within specific vertical domains or organizations for privacy and security compliance.
By partnering with Ask Sage, Mattermost can provide teams with AI-driven tools that adhere to strict security requirements while still delivering valuable insights.
Ask Sage specializes in data analysis and summarization, which is crucial for organizations in the public sector and other highly regulated industries.
This domain-specific AI integration allows Mattermost to cater to the unique needs of various organizations while maintaining its commitment to security and compliance.
The Importance of Data in AI Fine-Tuning
As organizations continue to adopt AI-driven technologies, the importance of data in fine-tuning AI models cannot be overstated.
Mattermost CEO and cofounder, Ian Tien, believes that the market is shifting from a model-specific AI approach to a data-centric one.
In this new landscape, data is the critical piece that enables optimal results when fine-tuning AI models.
Since Mattermost manages the collaboration platform, it possesses a distinct advantage in accessing the necessary data for additional fine-tuning.
As Tien explains, “You can train on what people are saying, but in Mattermost, you understand who that person is. There’s all the digital body language that happens, in addition to the conversation, and we believe that that will provide a material advantage to the model trained with the context of the conversations.”
By focusing on the importance of data, Mattermost can continuously improve its AI models, providing users with a more refined and efficient collaboration experience.
