Overview
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Explore a thought-provoking keynote address from ML Conference 2018 that delves into the potential commoditization of artificial intelligence. Examine the parallels between AI and other commoditized industries, and consider the challenges that must be overcome for AI to become a commodity. Investigate the current state of AI accessibility through cloud providers and services, and analyze the implications for both consumers and businesses. Learn about the concept of disruption in the AI field, with examples from major tech companies and their impact on various industries. Gain insights into starting an AI-focused startup, including strategies for market positioning and leadership. Discover valuable perspectives on the future of AI as a potential commodity and its far-reaching effects on the technology landscape.
Syllabus
Intro
Consultancy AI
Commodity
Cheap and easy
Windows computers
Android phones
Cloud providers
Virtual machines
Cloud services
Cloud AI
Who are they for
AI for the masses
What is disruption
Google Cloud
Jeopardy
Healthcare
IBM Jeopardy
Cloud commodity
Whats missing
Start your own startup
Summary
How to start a startup
Dont go after a big market
Become a small market leader
Conclusion
Taught by
MLCon | Machine Learning Conference