Forrester Trend Report

Stop Copying Data: The Zero-Copy Shift Powering Enterprise Agentic AI

35% of enterprise data is duplicated. Every copy adds cost, lag, and risk. Forrester maps the shift to zero-copy: real-time, governed access to data where it already lives.

What You’ll Learn
Forrester's definition of zero-copy data architecture
The 4 principles it runs on: decoupled storage/compute, open table formats, in-memory sharing, direct object storage access
Why copying data no longer scales for AI
5 production use cases: BMW, Goldman Sachs, FedEx, Harvey Nichols, Horizon Supply Chain
Why more copies mean more governance risk, and what to do instead
Source: Forrester Research, Inc., "Stop Copying Data: The Zero-Copy Shift Powering Enterprise Agentic AI," Noel Yuhanna, with contributors, August 4, 2026 (RES199800). Used with permission. Forrester® is a registered trademark of Forrester Research, Inc. All rights reserved.

Gartner® Report: How to Evaluate AI Data Readiness

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Is Your Data Ready for AI?

As AI adoption accelerates, hidden risks emerge—unreliable data, weak governance, and As AI adoption accelerates, hidden risks emerge—unreliable data, weak governance, and misplaced confidence in models. This Gartner® report provides a structured framework to evaluate and improve your data’s readiness for AI across all stages of development and deployment.
What You’ll Learn
How to assess AI data readiness across four stages.
Why traditional data practices fall short for AI.
How to use metadata to detect drift and risk.
A checklist and matrix to strengthen your pipeline.
How to scale from expert-driven to system-driven AI data ops.
Gartner, How to Evaluate AI Data Readiness, By Mark Beyer, Ehtisham Zaidi, Roxane Edjlali, 31 January 2025 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. 
Get the Full Gartner® Report
Acceldata, the leader in Agentic Data Management, offers access to Gartner “How to Evaluate AI Data Readiness.” Download the report to benchmark your strategy, close critical data gaps, and build a foundation for scalable, trustworthy AI.
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Most Governance Programs Weren't Built for This

79% of D&A responses say AI-driven automation will reshape data governance (2026 Gartner Future of Data and Analytics Survey, North America). Yet, most programs still run on manual escalation and inconsistent terminology. That model breaks under AI's demands for quality, security, and privacy. This report includes the Gartner® reference architecture for governance built to scale with AI.

Gartner® Report: Building Blocks for Effective Data Governance in the Age of AI

We believe data observability is what makes runtime governance enforcement possible: it's how we feel Acceldata continuously scrutinizes metadata across your pipelines to catch risk before it becomes an escalation

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