Скачать или смотреть Automatin in the Loop | Building Production Ready AI Systems | Abhilash Garimella

Summary
In this conversation, Abhishek Dubey and Abhilash Garimella discuss the evolution of AI, particularly in the context of cybersecurity and Bolster's innovative approach. They explore the importance of human oversight in AI systems, the transition from traditional models to language models, and the significance of automation in enhancing operational efficiency. Abhilash shares his unconventional journey into AI leadership, the challenges of team sentiment towards automation, and strategies for building a strong AI team. The discussion concludes with rapid-fire questions that reveal personal insights and opinions on the future of AI.

Takeaways
Abhilash has been a pioneer in productionizing AI agents.
Bolster protects numerous brands from phishing and scams.
False positives in cybersecurity can have severe consequences.
Human oversight is essential in AI systems.
Problem-solving and impact creation are key to success in AI.
Shadow deployment helps in testing models before full deployment.
Automation in the loop reduces risks in critical processes.
Upskilling analysts is vital for successful AI integration.
Hiring for mindset is more important than just skills.
The trend of replacing human workers with AI is a significant concern.

Sound Bites
"Humans are needed to guide the entire system."
"Shadow deployment is key to our model testing."
"Hire for mindset, not just skills."

Chapters
00:00
Introduction to AI and Bolster
02:59
Understanding Bolster's Unique Approach to Cybersecurity
05:50
The Role of AI in Cybersecurity
08:59
The Evolution of Phishing Tactics
11:56
Abhilash's Journey to AI Leadership
16:00
Transitioning from CNN to Language Models
18:56
Shadow Deployment and Automation in AI
19:15
Automation in the Loop: A New Framework
21:00
Identifying Quick Wins in Automation
23:11
Managing Team Sentiment Towards Automation
24:33
Co-Building AI Systems with Domain Experts
25:47
Collaborating with Customers for Effective Solutions
27:37
The Challenge of Signal Noise in Automation
28:39
The Role of Domain Expertise in AI
30:15
Building AI Systems as an Outsider
31:23
Upskilling Employees Amid Automation
32:38
Retaining Talent in a Competitive Market
35:38
Hiring Passionate AI Talent
37:05
Rapid Fire Questions: Insights into Abhilash's Preferences