Deepak Agarwal, the VP of artificial intelligence (AI) at LinkedIn, answer questions about AI's role at LinkedIn, careers in the field, and the future of the technology.
AI The LinkedIn Way: A Conversation with Deepak Agarwal
Overview
Syllabus
Introduction
- Why use artificial intelligence and machine learning?
- How do you define artificial intelligence and machine learning?
- What exactly is deep learning?
- What types of problems are best addressed through AI and machine learning?
- In what ways does LinkedIn use AI?
- How does LinkedIn decide what tasks will be handled by AI?
- What are the risks involved in trusting AI to make recommendations to LinkedIn users?
- What are the main steps to making machine learning work?
- What are some of the hardest things to get right when implementing AI?
- Which AI and ML tools does LinkedIn use?
- What are some of the ethical considerations of working with ML?
- What advice would you give to those starting to develop AI?
- What are the skills needed to have a good foundational understanding of machine learning?
- What do you look for when hiring an AI engineer?
- How was the LinkedIn AI Academy developed?
- What research projects are you working on to make LinkedIn better at leveraging AI?
- What are some of the most challenging questions AI needs to address in the future?
- What are your hopes for the future of AI?
Taught by
Deepak Agarwal
