Conversational Analytics with Kyvos Dialogs powered by GenAI

Kyvos leverages GenAI technology to deliver fast, intelligent insights for businesses—whether queries are ad hoc, complex, or time-sensitive. By automating data processes and using a natural language interface, Kyvos simplifies enterprise analytics, making insights more accessible than ever.

With Kyvos Dialogs, organizations can interact with data using everyday business language, eliminating the need for complex SQL queries. This AI-powered tool helps businesses manage large-scale datasets efficiently, streamlining calculations and providing instant, natural language answers to critical business questions.

Kyvos Dialogs also acts as a smart data assistant, detecting anomalies and delivering customized insights directly to decision-makers. Powered by LLM-driven GenAI and a universal semantic layer, Kyvos democratizes data access, allowing business users to explore insights effortlessly—without needing technical expertise.

Key features of the Kyvos Dialogs for conversational analytics include:

• Conversational Analytics: Allow every user to engage with KPIs in a more meaningful way, regardless of their complexity or scale, truly democratizing access to data.

• AI-Powered Visualizations: Get answers to all your queries in the form of best-fit visualizations along with a natural language summary revealing key insights.

• Reuse Chat Sessions Across Organization: Share chat sessions across users and groups within your organization to reuse analytics summaries for quicker decision-making.

• Guided Data Exploration: Easily navigate your data with contextual prompts and cues. You can backtrack through conversations, refine your queries, or explore alternative paths effortlessly.

• Intelligent Data Selection: Remove the uncertainty in choosing the right data model. Access consistent results with standardized views tailored to your specific questions.

• Data Governance: Use the power of AI while protecting your data with Kyvos' multi-layered security architecture, ensuring strong privacy protection.

• Automated Processes: Use GenAI-driven analytics to streamline workflows, significantly reducing the time and effort required for in-depth data discovery.

•  Text-to-SQL: It converts user input questions into the appropriate SQL query language. 

In this section, you will see: