How can information managers find strategic roles to play in their organization’s AI and data analysis projects? Download this book to learn more.

Scientific knowledge is expanding both in terms of peer-reviewed articles published and in the types and formats of relevant information. Peer-reviewed scientific research in more and more specialized fields, clinical trials data, conference proceedings and posters, business news and regulatory filings, patents, government datasets, and internal research and data all contain information valuable to researchers. However, much of this information is either unstructured or in data streams that do not permit easy interoperability.

So how can information managers find strategic roles to play in their organization’s AI and data analysis projects?

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