#business

The Art of Strategy Is About Knowing When to Say No
https://hbr.org/2018/01/the-art-of-strategy-is-about-knowing-when-to-say-no

Harvard Business Review

The Art of Strategy Is About Knowing When to Say No

In Hubspot’s early days as a startup, CEO Brian Halligan prided himself on being a “yes man” — saying yes to every exciting and half-way feasible idea someone on his team pitched. But this eventually resulted in a chaotic lack of focus for his employees.…

#business

All Business Strategies Fall into 4 Categories
https://hbr.org/2024/05/all-business-strategies-fall-into-4-categories

Harvard Business Review

All Business Strategies Fall into 4 Categories

The problem with strategy frameworks is that although they can help you determine whether an opportunity is attractive or whether a given strategy is likely to work, they generally don’t help you in the task of identifying the opportunity or crafting the…

#business

It's a short essay from HBR.
The essay is not bad, it's just, somehow, trivial.
I didn't know you could write for HBR on such trivial topics. Amazing...

https://hbr.org/2024/01/getting-machine-learning-projects-from-idea-to-execution

Harvard Business Review

Getting Machine Learning Projects from Idea to Execution

Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing…

#career #business

[D] We Need More Data Engineers, Not Data Scientists
https://www.reddit.com/r/MachineLearning/comments/kx0j1v/d_we_need_more_data_engineers_not_data_scientists/


The report: https://www.mihaileric.com/posts/we-need-data-engineers-not-data-scientists/

reddit

[D] We Need More Data Engineers, Not Data Scientists

Hey all, I've recently been doing research on the state of the data science/ML hiring market, trying to answer the question of how in-demand...

#business
In 2015, there was a company called SixFold. They were one of the first heroes to disrupt an industry that has not changed much for a century, the freight market. They investigated the situation, established their hypothesis, created MVP. They did not succeed. The image is a summary of their post mortem.

There are at least two learning from this story.
- Think in terms of the utility function. Do not just point out blocks of reasons. Write down the utility function for the situation and make assumptions on the parameters.
- Swarm intelligence sometimes works better than one might expect. Improvements in swarm intelligence take a lot of effort if one does not have a smart plan.


Here is the article by their CEO: https://medium.com/@MartKelder/end-of-road-for-trucking-startup-palleter-523a4a906fe9