... focused on the metrics that matter. For a long time, we've used the ICE (Impact, Confidence, Ease) scoring framework. However, with attribution data becoming less reliable and AI constantly shifting the strategic landscape, ICE feels too reactive and simplistic. We're looking for a more accurate, perhaps even proactive, model for scoring and prioritizing our marketing initiatives. What frameworks or systems are you using to tackle this? Comment from Igor Lysenko(@ixord): 1. Double check that everything is prepared ...

... middle. While the infrastructure will continue to become cheaper and better, the race to the bottom is inevitable. However, this doesn t mean we can skip the cost of developing and figuring out the background architecture. A simplistic explanation is to treat AI as just another progressive step in Software. It's something David Friedberg has been advocating for a while. Second, even before we know what AI can do, the point of AI regulation seems like an overkill ...

... life as a budding maker, data scientist, and former wall street trader. My intention is to create a feedback loop where my job is to learn what I need to do learn, while trying to explain it in a simplistic manner plus shed some light into these quite opaque industries. Has anyone had any experience building a newsletter and what are the important steps I should be aware of? Thank ...