As we stand on the brink of a fourth AI winter, it has become increasingly clear that faith in AI's ability to deliver concrete value is wavering amid concerns about cost-effectiveness and project failures.
The phenomenon of 'engineered intelligence' is emerging as a solution that facilitates real-world application of AI breakthroughs, allowing domain experts to innovate without the need for deep data science expertise.
Organizations are now recognizing the need to revisit the research-to-engineering pipelines, collaborating more closely with academia and technology vendors to transform research outcomes into practical applications.
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