Overview
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Explore the concept of "citizen data scientists" and their impact on the data science field in this 32-minute conference talk. Delve into the controversy surrounding untrained AI builders and their potential effects on established data scientists. Learn about a proposed framework for integrating both skilled data scientists and citizen data scientists within organizations. Discover insights on automation in data science, the maturity curve of AI projects, and strategies for building an automation-first data science team. Gain valuable knowledge on creating AI roadmaps, fostering AI champions, and effectively communicating within data science teams. Understand the challenges faced in AI projects and how to overcome them through automation and proper team structuring.
Syllabus
Intro
DataRobot
DataRobot Demo
Machine Learning and AI
Gartner
Elon Musk
Forrester
Russian Accent
AI Projects
Why AI Projects Fail
What is Automation
The Maturity Curve
Automation First
How to Build an Automation First Data Science Team
Create Your Roadmap
Create an AI Champion
Automate what you can
Communicate
Questions
Criteria
Taught by
Open Data Science