AI Runs on Data. Is Yours Ready?
Metadata, measurement, and governance: the three data conversations every publisher needs to be having right now.
Laura SimisLaura Simis
By Laura Simis
- Growth
- Technology
Less Drudgery, More Discovery
These are the AI use cases that matter most in 2026, according to the industry experts.
Laura Simis - Revenue
Where Scholarly Publishers Will Find Revenue in 2026
Can you monetize trust in an AI world? Expert insights from the Publishing Tech Trends report reveal how publishers are driving revenue through AI licensing, content transformation, and authenticated access in 2026.
Laura Simis - Technology
Are You Building Your AI House on Sand?
Everyone wants AI insights and automation. Few invest in the foundation that makes it work. See how taxonomy turns expensive guessing into intelligence.
Laura Simis - Growth
How Scholarly Publishers Can Market to Authors
As AI reshapes scholarly publishing, the importance of engaging authors and delivering a personalized experience has grown in importance. Learn 4 strategies to attract top researchers and drive submissions with data-driven marketing.
Laura Simis