A go-to-market strategy isn’t something you tack on as an afterthought to an upcoming product launch. Instead it’s about understanding where value exchanges occur, and figuring out how to make them more frequent, consistent and predictable.
» Structuring analytics for user engagement
» Defining an MVP in the AI era
» When to use genAI and when to use machine learning (ML)
» Product differentiation in a crowded market
» Implementing reusable components and designs
and more
We seem to stuck in a contradiction in which we worry about AI’s effect on our critical thinking, while finding it equally hard to resist using. Why is that?
Early warning signs that there may be another storm brewing in tech for product managers to weather
» Recommendations for automated infrastructure monitoring
» Safe presentation of medical data in Femtech apps
» Trade-offs of cloud versus local AI deployment for agricultural technology
and more
» Why it’s important to check assumptions before embarking on a costly product build
» Keeping customer data segregated in the right way while avoiding over-engineering
» When on-premise servers are a more cost-effective bet than cloud services
And is the increasing reliance by junior developers on AI coding assistants storing up a generational skills shortage for the future – ‘professional debt’, if you will?
To understand how cloud computing works, we’re going to start with the basic building blocks and work our way up.
Ross Webb and I have been chatting about product management career progression.
We cover topics including:
» Thinking of visibility as a strategic competency, not self-promotion
» Controlling your narrative through regular updates
and more!
New technology is not going to suddenly make all the challenges facing an organisation disappear overnight. Why? Because more often than not, those challenges are social not technological. Technology alone rarely solves ‘people problems’.