Kingsoft Cloud: AI analytics for faster team decisions

“In the second half of the cloud race, analytics is core competitiveness.”

Kingsoft Cloud deployed AskTable as part of the analyst workbench—AI-assisted exploration improved how revenue and operations teams consume data and reduced time-to-answer on recurring questions.

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Context

Kingsoft Cloud serves many enterprise customers. Sales needs live consumption signals, operations tracks SLOs, and leadership needs portfolio-level views—often scattered across databases and static reports.

Classic BI was too slow to change and too heavy for everyday questions.

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What AskTable changed

1. Faster insight loops

• •Teams ask revenue, renewal, and usage questions in language, not tickets.
• •Answers return as narrative + tables/charts grounded in SQL against governed data.

2. Data culture

• •A shared “ask your numbers” habit replaces one-off exports.
• •Technical teams spend less time on repetitive pulls.

3. Efficiency

• •Fewer throwaway scripts; more reusable semantic definitions.

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Representative use cases

• •Sales: live consumption, renewal risk, pipeline health
• •Marketing / growth: funnel metrics and cohort views
• •Operations: latency, incident blast radius, capacity signals

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Architecture (conceptual)

Natural language → AskTable → SQL → database → charts & narrative
        ↑___________________________________________|
              semantic layer + metadata

• •Text-to-SQL with policy-aware execution
• •Semantic layer for metrics and business terms
• •Connectors across the data estate you already run

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Customer voice

“AskTable is part of our intelligence stack. Reports that took days now take hours—AI makes data feel like a teammate, not a backlog.”
— Analytics lead, Kingsoft Cloud (paraphrased)

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Impact snapshot

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Learn more

• •Enterprise analytics
• •Other stories