Automation in the Loop | Building Production Ready AI Systems | Abhilash Garimella скачать в хорошем качестве

Automation 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