Data & AI on Public Cloud

Summary of a case study on muthub.org

Read the full case study on muthub.org →

Reviewed by Muthu · Initiative · Last verified Oct 18, 2026 · Drafted Oct 17, 2026 by seed-import/1.0 · Re-check by Oct 17, 2027 · 1 source

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Overview

A multi-cloud Data & AI strategy and reusable, pre-approved archetypes that made public-cloud onboarding much faster and modernized a legacy data warehouse.¹

Organization: Wells Fargo. Period: 2023 – 2024.

Sources

1. Data & AI on Public Cloud · published Oct 16, 2026

See also

• Agent-first data architecture: five principles - Data platforms built for people asking questions will strain when the main consumer is software taking actions. Five principles for designing data platforms where agents are first-class users, and why an open lakehouse helps.

Footnotes

1. Data & AI on Public Cloud, muthub.org case study, revised 2026-10-16. ↩