Listen "Managing data science projects"
Episode Synopsis
Data science and AI projects fail frequently, often exceeding 80%, due to exaggerated promises and complexity beyond technical modeling. Written by experts, this book reveals the harsh realities necessary for success. Failures usually fall into four areas: Strategy, Process, People, and Technology. Crucial non-technical challenges include insufficient leadership buy-in, poor data quality, and inadequate communication, leading to billions in wasted resources and lost trust in data-driven decisions.
More episodes of the podcast Pomodoro Breaks
To sell is human
16/12/2025
Financial Technology
15/12/2025
Debt restructuring in emerging markets
12/12/2025
Quantum Drama
11/12/2025
Organisational Ikigai
10/12/2025
Stories of world borders
09/12/2025
Dark matter physics
08/12/2025
Geography of food
05/12/2025
Myriad of tongues
04/12/2025
Finding competitive advantage
03/12/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.