Sisense debuts GenAI-powered analytics narratives and natural language querying
Sisense, the leader in API-first embedded analytics that transform enterprise data into a competitive edge, is announcing the beta launch of the generative AI (GenAI)-powered Sisense Analytics Chatbot—an embeddable analytics tool that empowers users to utilize their natural language to query their data and gain actionable insights with enhanced natural language narration.
The Sisense Analytics Chatbot lowers the barrier of entry for understanding analytics, allowing users to ask questions against their data at the right place, at the right time, according to the company. The Analytics Chatbot empowers users to rapidly take advantage of the Sisense Knowledge Graph, interpreting user input within the context of their data for query structure flexibility. This capability can be seamlessly integrated into app interfaces by utilizing several large language models (LLMs) in conjunction with external data.
With Sisense’s new narrative capabilities, users benefit from greater data context delivered through GenAI-powered, storytelling data visualizations. Additionally, the chatbot can generate code snippets that cultivate developer innovation and increase time-to-market for end-user experiences.
“Sisense's innovative analytics chatbot and narration features meet a crucial need for more intuitive and actionable data insights,” said Mike Leone, principal analyst of analytics and AI at ESG. “By addressing customers' demands for seamless, integrated, and user-friendly analytics solutions, Sisense is empowering ad-users to explore data on their terms and make insight-driven decisions with ease."
The Analytics Chatbot can be easily embedded within Compose SDK for Fusion—a flexible developer toolkit that lets you embed analytics in a code-first, scalable, modular way. Compose SDK also enables developers to use Sisense’s analytics platform to produce dynamic queries, charts, and filters directly from the app code.
“This new transformative tool can redefine how data insights are accessed and utilized within applications,” said Ayala Michelson, chief product officer at Sisense. “With Sisense Analytics Chatbot, we are meeting the demand to integrate GenAI into applications, empowering businesses to build advanced data experiences for everyone with new visual analytics embedded within the context of end-users' work. For developers, the chatbot represents another way to seamlessly integrate customized analytics into their products, bringing added value to their users.”
To learn more about Sisense, please visit https://www.sisense.com/.