Nield Thomas. Upskilling AI Professionals: Defining Skills and Identifying Pitfalls

O’Reilly Media, Inc., 2024. — 54 p. — (Report). — ISBN: 978-1-098-17203-9.Artificial intelligence is a unique opportunity for businesses. Never have we had so much data at our disposal thanks to the events following the dot-com boom, the rise of mobile and connected devices, and the scalability of computing and storage. All this has created a renaissance in the AI space.
Neural networks, researched as early as the 1950s, came back into the limelight with the availability of data and computing hardware.
Breakthroughs in computer vision happened shortly after, in 2014, and then large language models (LLMs) and generative AI after 2020.Defining AI.
Effective Learning.
A General Learning Path.
What AI Can and Cannot Do.
When to Adopt AI.
The Right Stuff: AI Skills for Today.
Solution-First Approach.
Problem-First Approach Pitfalls in AI Upskilling AI Misapplication.
Data Unavailability.
Overestimating Capabilities.
P-Hacking.