Things I have learnt this week

5 things I have learnt this week – week 48

One of the ways I am embracing the “Be 1% better every day” philosophy is by sharing a weekly curated list of the best articles I have read in the last 7 days.

The motivation behind it is twofold. On the one hand, it helps me reflect on the new ideas I am exposed to so that I understand them better. On the other, it helps reward all these authors that take some time to share their learnings with the world, making it a better place for everyone.

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Fostering Innovation in the Insurance Industry

Source: Harvard Business Review
Topic: Organizational Behavior / Innovation
Reading time: ~15′

Reinventing a company culture to build innovation in the core values and norms has proven to be a difficult objective to achieve. This article explains how CSAA Insurance Group went about this process, the challenges they faced and the learnings they got out of it.

Consumption Trends in the Rising Post-90s Chinese Generation

Source: McKinsey Insights
Topic: Corporate Strategy
Reading time: ~15′

A rising post-90s generation is emerging as a strong engine in consumption in China. This article summarizes four trends in the Chinese consumer landscape worth being aware of.

Machine Learning Algorithms: Which One to Choose for Your Problem

Source: Daniil Korbut
Topic: Artificial Intelligence
Reading time: ~20′

A review of the six most well-known Machine Learning algorithms and the use cases where they can be useful.

Valuation Ratios Important to Every Value Investor

Source: Finbox
Topic: Corporate Finance
Reading time: ~20′

As Warren Buffet once said “Price is what you pay; value is what you get”. Understanding valuation ratios can be really useful for both retail and institutional investors. This article sums up the most well known valuation ratios used in finance.

How to Remember What you Read

Source: Farnam Street
Topic: Life Hacks
Reading time: ~18′

It’s not what you read, it’s how you read it. This article contains a number of techniques and mental models to make the most out of your reading time.

Past articles in these series

Have you come across any other articles you would like to recommend? Help the world be 1% better in the comments.

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