Dustin Smith is the Co-founder and President of Hum, which provides AI and data intelligence solutions for publishers. For over 15 years, he’s worked at the cross-section of scholarly publishing and tech innovation. He leads Hum’s product vision, strategy and development, and oversees solutions that leverage AI to unify and activate first-party data, including Alchemist, Hum’s deep AI suite. He’s particularly passionate about helping publishers harness data to drive reader engagement, content intelligence, author/reviewer recruitment, and more.
ChatGPT has popularized generative AI, but interpretive AI has quietly remained in the shadows. Interpretive AI offers profound insights into content and audience engagement, a critical tool for publishers aiming to harness the full potential of AI.
Functional silos lead to customer data silos. Can you get a full view of customer engagement without re-architecting your whole organization?
Was a recent Scholarly Kitchen piece analyzing the capabilities of ChatGPT a fair test? What happens if you run a similar test with an improved prompt on LLMs that are internet connected and up to date?