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Snowflake Media and Entertainment Dublin, Ireland

Keywords Studios

Marketing Personalization

turn vast but fragmented community, social, review, and video data into timely sentiment insight for game publishers without months of manual analysis.

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3 months from AI POC to go-live

Reported impact

Business outcome

Keywords Studios achieved 3 months from AI POC to go-live.

  • Productivity Improvement
  • Speed to Market

Solution

Keywords Studios uses Snowflake and Cortex AI on Snowflake to turn vast but fragmented community, social, review, and video data into timely sentiment insight for game publishers without months of manual analysis. Viewership, streaming, metadata, and audience data are centralized in Snowflake so marketing, merchandising, and customer-experience teams can work from a faster, more reliable operating view. Cortex AI adds in-platform LLM and agentic capabilities for classification, summarization, retrieval, or natural-language analytics on top of the curated data foundation. The platform also connects with AWS so upstream systems and downstream consumers stay aligned around the same governed data assets. Keeping ingestion, storage, transformation, and governed access on one platform reduces handoffs, simplifies operations, and makes it easier to reuse trusted data across analytics, reporting, and AI. Keywords Studios achieved 3 months from AI POC to go-live.

Data flow

viewership, streaming, metadata, and audience data flow into Snowflake and Cortex AI; curated data, reports, and model outputs are then served to marketing, merchandising, and customer-experience teams.

Solution architecture

2 components · 2 layers
  1. Compute
    • Cortex AI Provides in-platform AI functions used for summarization, classification, generation, or model-assisted analysis.
  2. Storage
    • Snowflake Provides the centralized data platform that stores governed datasets and serves analytics or AI workloads.

Architecture clues

  • Cortex AI adds in-platform LLM and agentic capabilities for classification, summarization, retrieval, or natural-language analytics on top of the curated data foundation.
  • Integrates with AWS as part of the broader delivery workflow.
  • Operates at the scale described by metrics such as 3 months from AI POC to go-live.

Evidence from the source

3 months from AI POC to go-live
Keywords Studios achieved 3 months from AI POC to go-live
Making the most of its extensive videogame industry insights, Keywords Studios enriches its vast player knowledge and data in Snowflake
Transparency Evidence & methodology 82/100 reference value · 72% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value82/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity12/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence72%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence15/20
    3 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Snowflake

    Keywords Studios customer story

    First-party
    https://www.snowflake.com/en/customers/all-customers/case-study/keywords-studios/
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Jul 23, 2025 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Jul 9, 2026 · Snowflake · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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