The AI dominated world – skills required for successfully navigating it
summary
Argues data science is enduring and shows concrete changes: banks using upgraded HD cameras and face‑matching to alert branch managers and improve service, insurance systems aiming to pay claims in 15 minutes, and the rise of 400–450 digital therapeutics firms since a 2005 software patent. Recommends specific tools and signals: Python/R (and legacy SAS), Excel proficiency, active GitHub and Kaggle footprints, domain specialization (finance, marketing, supply chain) and soft skills like clear thinking and networking to make models adopted.
AI-written summary · about
chapters (14)
- 0:00Introduction
- 4:42Welcome
- 5:42About me
- 6:56Fad or Fact
- 7:35Demand Side
- 13:07Life has changed
- 14:33Management Philosophy
- 16:30Product Experience
- 18:00Company Structure
- 20:50Characteristics of Data Science
- 22:49How do I navigate through this world
- 26:15Hardware vs software
- 27:00Software skills
- 32:34Communication skills
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