Forbes October 25, 2024
Christian Stegh, CTO and VP of Strategy at eGroup | Enabling Technologies.
The path to AI success is paved with data quality but laden with data security land mines. In past articles, I introduced an AI maturity model. The model describes how organizations seek to advance to one of five key stages: learning, experimenting, standardizing, innovating and leading. Technology is the “how” and business outcomes are the “why” organizations are pursuing AI. This article covers a new factor: data management. This aspect is truly a journey, but it’s a worthwhile one.
Stage 1: Learning
The least mature organizations are simply getting a clear understanding of the array of data that exists and its potential value. Data sprawls across various systems,...
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