Overview
Discover the keys to successful AI project implementation in this 37-minute talk by Pedro Domingos, PhD. Explore the true capabilities of AI, learn how to transition from demos to products, and avoid common pitfalls in AI development. Gain expert insights on structuring AI teams, optimizing human-machine collaboration, and integrating AI across organizations. Understand the AI ecosystem and stay informed about the latest innovations. Delve into topics such as the definition of AI, key elements of AI systems, AI's strengths and limitations, and the stages of AI adoption. Learn about centralized versus decentralized approaches and get a glimpse of future AI trends. Essential viewing for professionals and enthusiasts in machine learning, deep learning, natural language processing, data science, and AI careers.
Syllabus
- Introduction by ODSC CEO/Founder Sheamus McGovern
- Why Do so Many Projects Fail?
- What AI Is Not
- What is AI?
- Key Elements of an AI System
- What AI is Good For
- What AI is Not Good For
- Beware of the Demo
- From Humans to AI
- The Three Stages of AI Adoption
- Centralized or Decentralized?
- What’s on the Horizon
Taught by
Open Data Science