Fully integrated AI and ML path forward
Embedded Analytics and Integrations in Qlik Sense™
Welcome to the next video in Qlik™ series focused on the strategy, capabilities and direction for AI and ML. During this series, the Qlik™’s unique approach to AI and ML will be described, demonstrate existing and new capabilities for Augmented Analytics in Qlik Sense™, AutoML and Predictive Analytics, and offer a look at the future direction of Qlik™ and what’s coming next.
In this third video you can see:
- Qlik™’s capabilities to embed augmented analytics features and capabilities using multiple integration endpoints available in Qlik Sense™;
- a demonstration of a game-changing upcoming feature it was showed at QlikWorld – conversational analytics within Microsoft Teams;
- different types of integrations for embedding augmented capabilities;
- an example of API usage and embedded analytics in a web app.
With the newly released augmented analytics APIs, Qlik™ is delivering an essential avenue for the users to leverage automated insights and natural language interaction in the environments of their choosing, as well as build business logic using data across a wide breadth of sources. Developers can leverage all of this to craft their own embedded experiences and mashups, while continuing to guide the user experience using business logic and items like example questions. All these endpoints come with developer guides and resources to assist developers with getting started.
Stay tuned for the next video from Qlik™, in which we will be highlighting the use of Machine Learning Services in within our augmented analytics capabilities, including a demonstration of an exciting new capability for Key Driver Analysis.
To watch the previous two videos in the Fully integrated AI and ML path forward series, click on the links below:
For information about Qlik™, please visit this site: qlik.com.
For specific and specialized solutions from QQinfo, please visit this page: QQsolutions.
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