A Forrester Consulting Thought Leadership Paper

From Data Lake To Context Lake

Transform Your Data Foundation For Agentic AI

Why do current data architectures struggle to support AI initiatives? What do organizations need to build AI-ready data foundations? Forrester Consulting explores these questions in this commissioned thought leadership paper.

From Data Lake To Context Lake - Forrester Consulting Thought Leadership Paper

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What's Inside

A 28-page deep dive into why current data architectures are failing AI initiatives and what leaders can do to build AI-ready data foundations.

01

The AI Mandate

Why AI has become essential for competitive decision-making and how investment is accelerating.

02

Architecture Bottlenecks

How complex, fragmented data stacks are blocking AI ambitions and creating operational drag.

03

Data Underutilization

Why most enterprise data never delivers value — and the governance gaps behind it.

04

The Case for Change

What leaders need to transform their data foundations and why incremental fixes won't work.

05

From Data Lake to Context Lake

How AI-ready data foundations enable real-time, contextually aware agent operations.

06

Key Recommendations

Five actionable steps for leaders to prioritize decision-time context and build for agentic AI.