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Breaking the Silos — Why a Connected Cloud-Data Strategy Is Critical for AI Everywhere

Publisher IDC
Published Dec 19, 2025
Length 7 Pages
SKU # IDC20671236

Description

This IDC Perspective focuses on the value of joining cloud and data transformation strategies together for AI success. Modern architectures need to serve both traditional business intelligence and advanced AI, GenAI, and agentic AI needs. Isolated cloud and data architectures are not able to effectively meet business needs and AI mandates, requiring organizations to design a unified cloud data architecture. "A synchronized cloud and data architecture can act as a double engine for AI dominance. Embracing a unified vision helps with the design of a data-centric cloud architecture to overcome the long-standing barriers of data silos, vulnerabilities, and complexities to truly turn data into a strategic asset for AI success." — Archana Venkatraman, senior research director, cloud data management and platforms and cloud governance, IDC Europe

Table of Contents

7 Pages

Executive Snapshot

Situation Overview

The Imperatives for a Joint Cloud and Data Infrastructure Strategy

Data Gravity and Silos

The Governance and Operational Conundrum

Data Movement Costs and the Risk of Complexity

Advice for the Technology Buyer

Cloud Data Architecture: A Cohesive Architecture Fit for AI Success

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Related Research

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