3D illustration of a human brain constructed from digital cubes dissolving into natural elements like flowers and greenery, symbolizing the fusion of technology and nature on a dark green background.
AI represents a fundamental shift in how data is leveraged for competitive advantage. Yet, many enterprises are struggling with fragmented systems, siloed data, inconsistent governance and aging ...
February 26, 2025 - The legal industry stands at a pivotal moment, driven by advancements in generative artificial intelligence (GenAI) technologies that are challenging established norms in the legal ...
The Pentagon’s new data, analytics, and AI adoption strategy focuses on data shareability, with the aim of better enabling all-domain command and control. But the biggest challenge, DOD’s chief ...
When Brigitte King heard about Google’s third third-party cookie deprecation delay in April, she thought, “Oh no, here we go again.” As the chief digital officer of Colgate-Palmolive, a big part of ...
Fifty-five per cent of businesses say they are being let down by data quality technology. Joel Curry, MD of Experian Data Quality, explains how to ensure your data quality strategy works Most ...
PHILADELPHIA--(BUSINESS WIRE)--Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today released a new survey of 500 professionals working with AI ...
The Office of Management and Budget in 2020 and 2021 teamed with agency chief information officers and chief data officers to issue the federal data strategy and action plans, laying out a 10-year ...
During this latest earnings call season, many banks, exchanges, and financial services providers have touted their large language model (LLM) capabilities and their focus on generative AI. But having ...
A recent survey found that 23% of UK organisations still use manual processes to manage customer and prospect data, and 42% use Excel spreadsheets to detect data quality issues. These were among the ...
Data quality is important—no doubt about it. But like any new data practice, developing a scalable data quality strategy doesn’t happen overnight. And what you need today may not be what you need ...
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