This business about DEI and Trumpism and all of that-that's warfare. It's about sloganeering and punishing the enemies who want what you don't want," he said in a recent episode of The Key, Inside Higher Ed 's news and analysis podcast. "That's not what higher ed is supposed to be about. It's supposed to be about purposeful experimentation.
Google Ads now has a new recommended experiments box in the Experiments page. This should offer you customized and personalized recommendations that Google Ads thinks you should try based on your account setup and performance data. This was spotted by Hana Kobzová who posted more details on PPC News Feed. Hana shared this screenshot of the recommended experiments box: "Each recommendation comes with a preconfigured setup you can apply immediately or customize as needed."
Much of the conversation about how to work effectively with generative AI has focused on prompt engineering or, more recently, context engineering: the semi-technical skill of crafting inputs so that large language models produce useful outputs. These skills are helpful, but they are only part of the story.
The opportunity is enormous: to reimagine work, unlock creativity, and expand what organizations and people can do. So is the pressure. In response, many organizations are rolling out tools and launching pilots. Some of this activity is necessary. Much of it, however, misses the deeper point. Too many leaders are asking: how will AI change us? The better question is: what kind of leadership will we build to guide AI?
Here's something that might sound counterintuitive: people who achieve their goals don't actually take them that seriously. Wait, what? Let me explain. While goal-setters treat their objectives like sacred vows they can't break (and then feel crushed when they fail), achievers approach them more like scientists in a lab. They're curious about what will happen, not attached to a specific outcome.
Developing software is like taking a journey on which a team is continually making decisions about which way to go, both about the functionality of what they are building (the MVP), and also about what sort of architecture they need to support the MVP (the MVA). The main challenge in using this approach is building something quickly enough to release so that the team can get important feedback as soon as possible.
On the list of things my girlfriend likes to do, yoga falls somewhere beneath scrubbing her kitchen floor and somewhere above listening to me explain Game of Thrones. Kate (an alias since my girlfriend agreed to this experiment only if I kept her anonymous) has tried yoga a few times and recognizes the physical benefits although it's not exactly something she gets overly excited about.
Martin Fowler is one of the most influential people within software architecture, and the broader tech industry. He is the Chief Scientist at Thoughtworks and the author of Refactoring and Patterns of Enterprise Application Architecture, and several other books. He has spent decades shaping how engineers think about design, architecture, and process, and regularly publishes on his blog, MartinFowler.com. In this episode, we discuss how AI is changing software development: the shift from deterministic to non-deterministic coding;
In any software development effort, there is always too much to do and not enough time or resources to do it all. The problem is that the number of things we could build is infinitely large, and our available time and resources are, by comparison, almost infinitely small. This applies especially to architecting. The art in software architecting is deciding what decisions need to be made now and which ones can wait.
Erin is a smart cookie. She manages complex projects for a living. She maps dependencies, anticipates risks, and can predict how a small change will ripple through a system. Yet when it comes to her own life, her thinking feels fuzzy and reactive. She's brilliant at analysis, just not when the subject is herself or topics like parenting, communication with her partner, or what type of balance she wants.
When an old friend and colleague of mine recommended the book "Growth Levers and How to Find Them," by Matt Lerner, I expected yet another business book that promised dramatic results within 100 pages and a quick two to three hour read. I'm talking about the kind of book that gets you all excited, only to leave you feeling deflated when you realize you can't influence your organization enough to make the necessary changes.
The marketing and communications field is evolving rapidly, shaped by emerging technologies, shifting consumer behaviors and new expectations for authenticity and impact. For professionals just entering the industry, the opportunities are vast-but so are the challenges. Building a successful career requires not only technical skills, but also adaptability, creativity and a commitment to continuous learning. To help the next generation chart their paths with confidence, Forbes Communications Council members share their top advice for those beginning their journey in the industry.
This setup isn't about prescribing a rigid set of automations, but rather about creating a flexible environment where product managers and designers can experiment with how an AI assistant can understand their needs.
