As AI takes on a greater role in daily workflows and decision-making, leaders must understand how their organizations’ exposure is changing.
If AI can make increasingly sophisticated payment decisions, do we still need smart contracts and programmable money?
In a software-defined battlefield, code is continuously entering, moving through and executing across operational environments.
Understanding why organizations struggle with AI for video and what the industry can do to overcome these specific barriers is essential to unlocking adoption.
An AI system needs many of the same organizational structures that surround any worker carrying responsibility.
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As AI systems become more capable of acting independently, organizations need guardrails designed specifically for autonomy.
A robot learning to load a dishwasher or hand someone a glass is learning a culturally and geographically specific version of that skill.
Most pilots are built and tested against a clean, static dataset, disconnected from the systems they would eventually need to run alongside.
Before AI goes live, you need to define what it can do, who can intervene and how decisions will be traced.