Design Thinking isn’t a “nice-to-have”—it’s essential. It’s more than graphic design or content creation; it’s a problem-solving framework focused on real user needs, cross-functional collaboration, and continuous improvement.
Recently, I’ve been putting together some material for a friend’s band tour to Vietnam and Cambodia. This has been a great opportunity to try another AI Workflow experiment. Paint it Black is one of the feature ‘covers’ that the band plays on their tours. Patrick rang and asked if I would like to put together a poster. Also other items like social media graphics. I’ve also created a QR for an extra bit of interactivity.
Is that everybody talks about Google Analytics Club. There’s so much information about how to upgrade. I’m not against the focus of a lot of the videos, straight to the point, get it done and wash your hands of it. Bring in the bushels of produce.
You might find yourself paddling the data stream in the new Google Analytics 4, and it all looks and feels completely different. It’s not just a software upgrade and you go floating “merrily down the stream” crossing your stream metaphors with no consequence. This article is about the core concepts of Google Analytics 4, and how to adapt your thinking, to get the best results.
Google Universal Analytics is being replaced by Google Analytics 4. On July 1st 2023, Universal Analytics properties will stop processing data and some time after that, (probably around Dec 2023) these properties will be deleted. (Src. Google). In this article I wanted to research and explore some of the effects and implications of the new Google Analytics.
Recently I’ve been experimenting with AI generative tools from a technical and workflow perspective. By ingesting the text, images and other digital assets of humanity, these large language and visual models are as much a mirror as an interesting technology.