​Empowering strategic decision-making with AI-generated insights. 

Overview  

Digital Twin is an advanced research assistant feature. Powered by generative AI technology, Digital Twin swiftly provides concise and insightful responses to user queries, sourcing relevant news, blogs, and social media content from platforms such as X, Facebook, Instagram, and Reddit. By reducing the time required to obtain insights, Digital Twin facilitates informed decision-making, enhances productivity, and empowers users to make strategic decisions confidently. With the ability to generate summarized responses traceable to their sources, Digital Twin ensures users stay well-informed in today's dynamic business and social media landscape. 

Navigating Digital Twin 

1. Digital Twin is in Explorer section of Sprinklr Insights module 

2. User can also use Universal Search to search for Digital Twin 

3. Click on “New Chat” in the left pane to start a separate session 

4. Type your research question in natural language and hit “Ask” button 

Components 

Most prominent components of Digital Twin are – Seach box, Response, Citations, New Chat, History -  

1. New Chat - This component allows users to initiate a new conversation or chat session within the digital twin system. 

2. History - The history component keeps track of previous interactions, conversations, or changes made within the digital twin system, allowing users to review past activities. 

3. Search box - The search box is where the user types their questions or queries. It serves as the entry point for interacting with the digital twin system, allowing users to input their requests or search for specific information. 

4. Citations - Citations provide references or sources for the information presented within the Sprinklr Database, enhancing transparency and credibility. 

How it Works 

1. Collating Source mentions: When user clicks on ‘Ask’ button, system collects all the relevant social [X, Facebook, Instagram, Reddit] and published [News and Blogs] from the database 

2. Sorting relevant sources: Once collected, the system employs algorithms to sort through the gathered sources based on relevance, recency, and other predefined criteria. 

3. Summarizing and Citing: After sorting, the system summarizes the information from the relevant sources and provides references to the original sources 

Current technical nuances & limitations   

1. This feature does not take past conversation in the session into consideration while responding. 

2. Digital twin responds better when questions are asked in natural language, instead of technical metrics and dimensions (Current version of Digital Twin does not support Sprinklr specific dimensions and Metrics) 

3. Digital twin fetches mention from January 2021 

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Feature Enablement 

Digital Twin is currently in Definition Partnership stage. For enablement and access to the tool, please reach out to your Success Manager.