Challenge board: Publishers speak out during the Digiday Publishing Summit

This article is part of Digiday’s coverage of its Digiday Publishing Summit. More from the series →

A highlight of Digiday’s summit events is the challenge board, to which attendees post the top obstacles their businesses face at the moment. During this spring’s Digiday Publishing Summit in Vail, Colorado, publishers filled the challenge board with a whole host of issues that ranged from traffic troubles to AI anxiety.

“There’s a lot of unknowns. You’ve got generative AI and the impact that’s going to have to all of us. Cookie deprecation, of course; it’s been going on for a while, but it’s finally happening. And I would also say algorithm changes in Google,” said Sharon Milz, chief information officer at Time.

In the video below, a handful of publishing executives from Bustle Digital Group, Dotdash Meredith, Hearst Magazines, Semafor, Time and Yahoo Finance explain the biggest challenges they see confronting the industry and how their companies are going about contending with those challenges.

“Lowering the dependency on traffic sources, no matter where they are, is an important lesson we’ve learned over the last 10 years,” said Sheel Shah, svp of growth, enthusiast and wellness at Hearst Magazines.

https://digiday.com/?p=540189

More in Media

Media Briefing: ‘Cloudflare is locking the door’: Publishers celebrate victory against AI bot crawlers 

After years of miserably watching their content get ransacked for free by millions of unidentified AI bot crawlers, publishers were finally thrown a viable lifeline. 

How Vogue could navigate potential industry headwinds as Anna Wintour — who agency execs say made ad dollars flow — brings on new edit lead

Anna Wintour’s successor at Vogue will have to overcome the myriad of challenges facing fashion media and the digital publishing ecosystem.

Here are the biggest misconceptions about AI content scraping

An increase in bots scraping content from publishers’ sites represents a huge threat to their businesses. But scraping for AI training and scraping for real-time outputs present different challenges and opportunities.