From engineered content to informed editorial: Blazing new trails in digital publishing
With data science and algorithms being panned into binary, good-versus-bad narratives, where can we find clarity and room to experiment?
ops
Content operations is slowly becoming its own discipline. Check out the most recent articles and reviews on operations for publishing, content marketing or other robust content production businesses.
Our 2023 tech stack
It’s the annual “here’s how I build content and research client work” tool stack issue. Peep The Content Technologist's tool stack in 2023.
Your social media engagement died. Can you resurrect it?
Automation killed the social media star. How can creators embrace evolving social media algorithms without chasing their audience away?
Is all generative AI art terrible? A consideration of how changes in software transform artistic production
Artists face increasingly thorny questions about if, how, and where AI-powered work belongs in their oeuvre. Perhaps the workaround is to use AI to express human eccentricity — not mimic it.
Setting the stage for content project success: Best practices for a strong kickoff meeting
Leave every participant with a clear understanding of what the team aims to accomplish. However, reaching that point involves research and stakeholder input. Check out our tips for running kickass kickoffs.
On iteration: Why digital business folks and content producers don’t always see eye-to-eye
Iteration is a repetition of a process to solve a specific problem, and it’s a big part of how machine learning algorithms are developed. But the way devs and data scientists think about iteration doesn’t always match with editorial and entertainment industry production methodologies and norms.
Processing your application...
Please check your inbox and click the link to confirm your subscription.
There was an error sending the email