FEATURE
WHY SKIPPING THE DATA MANAGEMENT ASSESSMENT UNDERMINES AI INITIATIVES
Bergson Lopes, CEO and founder of BLR Data, a pioneering Data Governance consultancy in Brazil, says organisations launching AI initiatives without first assessing their data maturity risk misdirected investments, failed projects and strategic blind spots.
opics related to data management
T and governance have become a constant presence on corporate agendas. Still, organisations constantly initiate ambitious programs, acquire sophisticated platforms and announce Artificial Intelligence initiatives without answering the most uncomfortable and essential question of all: what is, in fact, the company’ s current situation in relation to the management of its data?
The data management assessment should be the natural starting point of this process.
It exists to replace guesswork with evidence and build an objective reading of how the organisation really treats its data on a daily basis and not about how it believes it treats it. However, in many companies it continues to be treated as an accessory step or worse as something dispensable.
The result often leads to misaligned expectations, misdirected investments, initiatives that do not scale, constant rework and AI projects that fail before they even generate real impact for the business.
Bergson Lopes, CEO, BLR Data www. intelligentcio. com
INTELLIGENT CIO LATAM
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