Don't wait until 2025, you should be using generative AI stuff for most all of your marketing work today

Suggested theme song for this episode: 30% in 2025 implies low use in 2023 From the recent Gartner Marketing Symposium highlights: 64% of marketers have deployed, or are piloting, AI/ML to support autonomous campaign creation, execution, and optimization capabilities. [But:] Gartner predicts that by 2025, 30% of outbound marketing messages from large organizations will be synthetically generated. If you’re in marketing, you need to be using ChatGPT (or WHATEVER) today, as much as possible.

Cutting Costs by Cutting Waste - Instead of removing travel, R&D, etc. (which were thought to be required for your goals at once), focus on removing waste: Excessive risk management, analysis paralysis, unproductive meetings, imbalance of doing/watching, manual bureaucracy/toil.

Kubernetesless is just someone else’s Kubernetes

Read to the end to see an illustration of the inner workings of cloud infrastructure. For all the interest in Kubernetes, there’s not actually many apps running on it right now. Gartner’s Wataru Katsurashima estimates that “by 2027, 25 percent of all enterprise applications will run in containers, an increase from fewer than 10 percent in 2021.” When I look at that, it makes me think that, I don’t know, there’s at best 15% of apps running in kubernetes this year.

It’s the agile mindset that matters for local government - getting local government to do agile is difficult - “Local government culture is heavily business case driven, where funding is unlocked by making promises around outcomes in one, two or more years’ time. There’s also decades of learned behaviour to overcome, where people are just used to things being ‘finished’ and having projects plans with lots of lovely milestones in them.” And: “I like to boil down the agile mindset to three core, very simple ideas. That work is better when: (1) We break big problems down into smaller, more manageable one (2) We get working things into the hands of real users as quickly as possible, and act on their feedback (3) We work collaboratively in multi-disciplinary teams”