"ThoughtSpot also promises that cloud costs will remain limited, despite its ambitious plans. Organizations that want to roll out AI agents and natural language search functionality often encounter a bottleneck. Data must be accurate, secure, and quickly accessible before AI can get to work with it. To achieve this, organizations normally first need to get their data management in order. ThoughtSpot is trying to close this "AI readiness gap" by unifying data management, preparation, and cost management in a single workflow."
"SpotCache is a new caching feature that allows users to create data snapshots that can be queried indefinitely within ThoughtSpot without touching the cloud data warehouse. This gives IT decision-makers more control over cloud consumption, while users can continue to use ThoughtSpot's AI analyst Spotter and natural language search functions. The spreadsheet-based interface is aimed at analysts who work in Excel. Users can perform advanced manipulations such as user cohorting and complex formulas, as they are accustomed to doing."
ThoughtSpot's Analyst Studio unifies data management, preparation, and cost management into a single workflow to close the AI readiness gap for enterprise AI agents and natural language search. The platform supports live connections for real-time needs and optimized snapshots via SpotCache to limit cloud warehouse queries and control consumption. SpotCache creates indefinitely queryable data snapshots inside ThoughtSpot while preserving access to the AI analyst Spotter and natural language search. A spreadsheet-style interface enables advanced analyst manipulations like cohorting and complex formulas with governance. Agentic data prep allows natural-language chat to profile datasets, generate queries, and troubleshoot schemas while maintaining data security.
Read at Techzine Global
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