Learn the essential steps for implementing successful AI projects in a business environment through this 10-minute video tutorial. Discover a practical approach that goes beyond theoretical competitions like Kaggle, focusing on real-world business applications. Master the four key phases of AI project management: identifying genuine business problems, structuring data effectively, selecting appropriate AI solutions, and implementing iterative improvements. Follow along with detailed explanations of each phase, including problem identification at 1:07, data structuring at 3:26, AI solution selection at 3:57, and iteration strategies at 8:24, concluding with a comprehensive recap at 9:27.
Overview
Syllabus
- Introduction:
- Step 1 - Identify the real problem:
- Step 2 - Structure your data:
- Step 3 - Identify the right AI:
- Step 4 - Iterate on the solution:
- Recap:
Taught by
Yacine Mahdid
