But managing, leveraging and realising the commercial advantage of data is also hard. If fully leveraging data is difficult enough, the bar is only getting higher – with AI changing the game.
Yet in the U.S. and many other nations, social trust is far from ubiquitous. While a majority of U.S. adults (55%) say most people can be trusted, a sizable share (44%) say most people can’t be ...
The things that worry the chief information security officer - like what data is too sensitive to expose - are the concerns that can kill agentic AI.
In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...
A data audit helps you understand where collection methods are falling short, quality may be compromised & usage simply isn’t ...
4. They build a culture of transparency. Trustworthy data grows out of transparency. Encourage your teams to question inconsistencies and reward their efforts to fix them. Encourage your team to ...
Urban digital twins pull together tremendous amounts of data to realistically model cities, but they’ve been missing a ...
Critically, community data requires the systematic collection, interpretation, and use of information that is produced on community terms. It provides contextual information about human experiences ...
Hand in hand with transparency is accountability. Promises about how data will be used only matter if they’re kept.
Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...
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