Japan's strong institutional foundations and advances in data capability continue to anchor its position as one of Asia Pacific's leading governments, as highlighted at yesterday's regional knowledge- ...
Launching an AI initiative without a robust data strategy and governance framework is a risk many organizations underestimate. Most AI projects often stall, deliver poor...Read More The post Can Your ...
Shadow AI is spreading across enterprises. Rather than fight it, organizations should see it as a catalyst for stronger AI ...
Ahead of the AI Impact Summit in India in February, it is clear that most countries still lack a workable model for governing the technology. While the United States leaves matters largely to market ...
How HHS’s AI framework can help healthcare CIOs cut through complexity, build practical governance, and finally start scaling AI in real workflows.
ILSS report highlights the need for a two-tiered governance model in India's social sector to improve performance and ...
The Faculty Executive Committee shared recommendations to increase faculty involvement in University decision making.
The Business & Financial Times on MSNOpinion
Board-Governed SMEs: A case to adopt public-private co-delivery model
By Divine AKOTIA For decades, donor governments have struggled to translate development intent into tangible results in Ghana ...
The Nation UAE on MSN
Punjab's governance overhaul
Punjab is undergoing what analysts consider one of the most ambitious governance transformations in its recent history. The shift is not confined to individual projects or isolated administrative ...
As the BJP pushes into Tamil Nadu, it runs up against a 100-year-old ideology built on language, social justice, rationalism and resistance to cultural uniformity. What unfolds here may determine the ...
As organizations scale from co-pilots to fully autonomous digital colleagues, the challenge is building smarter operating systems for intelligence itself.
PRA observation The PRA observed that monitoring cycles for AI and ML models are often too infrequent. Some firms monitor ...
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