How do you apply structure to creative work? These articles explore information architecture, markup, metadata and other structures that we need to consume and find content online.
Perpetuated primarily by startups hungry for users and the entrepreneurial agencies and thought leaders who serve them, bad data begets worse expectations. Rapid rocketship visibility graphs imply that business results will follow—almost never the case long-term.
You can't predict the future, especially in publishing. You never know exactly which pieces of content will be hits and which will be a waste of time and money. But you can, as the finance folks have taught us, forecast your impact.
Everything we've ever written about navigation, information architecture, and structuring content.
Creative Capital's website is a masterclass in how to maintain a database. Here, we dissect the exemplary information architecture strategy and explore role the site has played in revolutionizing the grant application process for artists and organizations across the contemporary arts world.
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.
If an AI art-generator company creates a program that can download images at scale and then mash them all together at an end-user’s command, creating endless iterations of digital images "in the style of the Blue period," we'll soon have a much larger database with even more images tagged "Picasso."
Everything we've ever written about navigation, information architecture, and structuring content.
With Natural Language Processing evaluating most content online, keyword research is more important than ever. Here's everything we've ever published about it.