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Artificial intelligence is often positioned as the breakthrough that will finally solve long-standing challenges in clinical development. From forecasting enrollment to automating oversight and accelerating decision making, expectations are high. Yet many AI initiatives stall or underperform once deployed. The most common reason is not the sophistication of the algorithms, but the quality and structure of the data beneath them.
Jan 27, 2026
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Clinical control towers are often described as a solution to fragmented trial oversight. The promise is compelling: a single environment that brings together data, analytics, and visibility across studies, regions, and functions. In practice, however, building a control tower is far more complex than integrating dashboards or standing up a new platform.
Jan 27, 2026
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Clinical trial oversight is at an inflection point. For years, organizations have relied on dashboards, reports, and periodic reviews to understand how trials are progressing. While these tools brought visibility, they were never designed to keep pace with the growing complexity of modern clinical development. As trials generate more data from more sources, the industry is recognizing that visibility alone is no longer enough. What’s needed now is decision-ready insight.
Jan 27, 2026