Hum, an AI-powered data intelligence platform for publishers and media
companies, today announced a new partnership with Annex Business Media, Canada’s largest B2B media company.

Annex joins B2B media organizations like WATT Global, CyberRisk Alliance, and Digital Health Insights who are leveraging Hum's advanced content intelligence platform to transform content development and reader engagement.

Hum’s AI engine, Alchemist, uses a suite of Large Language Models (LLMs) and predictive analytics to forecast audience needs, deliver hyper-personalized experiences, and help Annex anticipate reader interests in real time. Hum will also deliver custom AI-built taxonomies tailored to Annex’s network of 60 media brands, driving better topical intelligence for editors and writers, fueled by real time behavioral data.

“With Hum’s advanced AI capabilities, we can further refine our understanding of our readers’ behavior and interests, ensuring that we consistently identify and produce content that is highly relevant to our B2B audiences,” said Stacy Bradshaw, Director of Digital Media. “This technology enables us to stay aligned with emerging industry trends and create even more opportunities for our marketing partners to connect with the right buyers.”

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About Annex Business Media
Annex Business Media is Canada's largest B2B media company, reaching millions of professionals across the country in diverse sectors including manufacturing, construction, food and beverage, and healthcare. With a portfolio of 60 brands, Annex Business Media delivers high-quality, industry-specific content through print magazines, websites, newsletters, events, and digital products. Learn more at https://www.annexbusinessmedia.com/

About Hum
Hum is a data and AI company that combines deep audience insights with topical and
contextual content knowledge, enabling organizations to deliver more relevant and personalized digital experiences. Hum's frontier AI capabilities align audience understanding with content intelligence. Learn more at https://www.hum.works/