Using Machine Learning Directly in Microsoft Teams – Integrating Qlik Automation for Businesses
- larissamiddendorf7
- Apr 11
- 2 min read
In today’s data-driven world, making quick and precise decisions is crucial. By integrating machine learning into Microsoft Teams, this process is greatly simplified. Instead of relying on complex dashboard analytics, the Adaptive Card allows for direct input in the Teams chat. In the background, MS Workflows and Qlik Automation handle the processing and deliver the corresponding predictions in seconds.
How machine learning integration in Teams works:
Input via the Adaptive Card: Simply enter your input into the Adaptive Card, and machine learning predictions can be triggered directly from the Teams chat.
Automation in the background: MS Workflows and Qlik Automation process the request and deliver the predictions in real-time, without the need to switch between different applications.
Speed and efficiency: Instead of accessing dashboards, the required data is delivered directly in the chat, significantly speeding up the workflow.
This solution offers a fast, efficient way to make data-driven decisions without the need for additional software or complex implementations into existing systems. With this integration, machine learning can be seamlessly embedded into communication processes, allowing businesses to quickly access relevant data.
Benefits of using machine learning in Microsoft Teams:
Time efficiency: No need to navigate through dashboards. Data is made available directly in the Teams chat.
Ease of use: The Adaptive Card allows for easy input while utilizing automation processes in the background.
Flexibility: Qlik Automation enables integration into existing workflows.
This technology not only simplifies access to predictions and insights, but also supports data-driven decision-making in an efficient and time-saving way.
📽️ Watch our demo video and discover how machine learning works in Microsoft Teams.