Understanding the Value of Data in the Age of AI
Description
This IDC Perspective examines how recent advancements in artificial intelligence are reshaping the ways organizations define, measure, and extract value from their data. As global data creation accelerates and the mix of data types expands, businesses face both new opportunities and new complexities in turning data into meaningful outcomes. This document provides guidance for understanding what data value is, how to quantify it, how to unlock it through stronger data practices and AI adoption, and what challenges organizations must overcome to realize its full potential."AI is transforming data from a passive byproduct of digital activity into an active source of competitive advantage," says Adam Wright, research manager for IDC's Global DataSphere and Global StorageSphere. "Organizations that rethink how they define, measure, and unlock the value of their data will be best positioned to lead in an increasingly data-driven economy."
Table of Contents
10 Pages
Executive Snapshot
Situation Overview
Defining the value of data
Measuring the value of data
Unlocking the value of data
The expanding role of AI in data value realization
Challenges in capturing data value
Advice for the Technology Buyer
Building a data value strategy
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