The enterprises pulling ahead didn’t get better models. They built better foundations.
The volume of data enterprises are expected to navigate is growing faster than any team can keep pace with. The signals are there—buried across publications, systems, and tools that have no way of surfacing them together. AI should solve this. Without the right foundation underneath it, it makes the problem worse. In this video, three Digital Science leaders get into what that foundation actually consists of: the data, the semantic architecture, and the expertise that makes agentic AI reliable enough to act on when it matters.
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Do you know what separates a company that is using AI versus one that is truly embedding it? It’s because the latter is living it. They are treating AI like a colleague, not a tool, and you can tell who those companies are—because they are the ones who are winning.”
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Meet the speakers
Sebastian Schmidt
EVP Enterprise | Digital Science
On why abundance of data has made insight harder to reach, not easier; and how the right infrastructure closes the gap between information and action.
Robert McGrath
Chief AI Officer | Digital Science
On why the most advanced AI still fails without connected, verified data underneath it—and the architectural choice that makes hallucination risk a non-issue.
Alex Hodgson
Chief Commercial Officer | Digital Science
On the hidden cost of expert time spent searching instead of discovering—and what separates enterprises truly embedding AI from those still running pilots.