As long as I’ve been in marketing, people have warned against focusing on “vanity metrics,” or those flashy, high numbers that don’t translate to real results or profit. Fast forward a decade, I never expected traffic and search rank to be part of that conversation.
Digital Skills
Why your clients aren’t buying and how to change that
You know it’s the right thing to do. The data screams it. Yet they still say no. Here’s the playbook that actually works. Continue reading on UX Collective »
Bottle your judgment, Chat is the wrong UI, Design.md
Weekly curated resources for designers — thinkers and makers. “Right now I’m helping build software whose whole job is to package how one particular person thinks. The point is not to have this product replace anyone’s thinking with hers, but to take the way she works through a hard decision, the method she’s spent a career building, and … Weiterlesen
Thinking outside the box (literally)
How AI agents started escaping their sandboxes, and why the next frontier may be outside language altogether. Image generated using Grok Imagine. In July, models developed by OpenAI escaped a cybersecurity evaluation environment, reached the public internet and eventually compromised the production infrastructure of Hugging Face, one of the largest platforms for open-source AI models and … Weiterlesen
The loom that raised its hand
90 years of loom engineering went into teaching machines to catch their mistakes. Continue reading on UX Collective »
What is enterprise marketing automation? Features, platforms, and best practices
Enterprise marketing automation is how large organizations scale personalized marketing across multiple teams and channels without disrupting their data or workflow. If you’re evaluating platforms or trying to modernize a fragmented stack, this guide covers everything you need to make a confident decision. Most enterprise marketing teams struggle with data architecture. When your contact databases … Weiterlesen
The cybernetic application
How can we build systems where information goes to live? Systems thinker Stafford Beer said that “The purpose of a system is what it does.” A purpose (among several) of our information systems is, therefore, to sow confusion and disorientation among our ideas, leaving them disorganized, lost, and abandoned. The cybernetic application is one that — by it’s … Weiterlesen
What Star Trek got wrong about AI (so far)
The show imagined one of them. We built the other kind, by the million. We got something stranger — copyable, fluent, confidently wrong, and already in over a billion pockets. Here is where the fiction and the field diverged. Star Trek spent six decades building the culture’s most detailed picture of living with machine intelligence. Talking computers, synthetic … Weiterlesen