---
type: Note
id: 39833a7c7456
title: Data & AI on Public Cloud
description: A multi-cloud Data & AI strategy and reusable, pre-approved archetypes
  that made public-cloud onboarding much faster and modernized a legacy data warehouse.
tags:
- initiative
generated:
  by: seed-import/1.0
  at: '2026-10-17T19:25:45+00:00'
  body_hash: sha256:360a872e528a317a2c5146b7317493beb1d00ac7b2dc16c69e773e0baf0125e8
sources:
- id: s1
  resource: /raw/20261017-192545-data-ai-on-public-cloud.md
  title: Data & AI on Public Cloud
kind: Initiative
status: stable
stale_after: '2027-10-17T00:00:00Z'
classification: public
owner: human:muthu
canonical_essay: https://muthub.org/initiatives/multi-cloud-ai-strategy
verified:
  by: human:muthu
  at: '2026-10-18T02:01:22Z'
---

# 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.[^s1]

Organization: Wells Fargo. Period: 2023 – 2024.

# Read the original

The case study is on muthub.org: [Data & AI on Public Cloud](https://muthub.org/initiatives/multi-cloud-ai-strategy).

[^s1]: Data & AI on Public Cloud, muthub.org case study, revised 2026-10-16.

# See also

* [Agent-first data architecture: five principles](../data-ai-platforms/agent-first-data-architecture-five-principles.md) - 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.