Chinar Movsisyan: How to Deliver End-to-End AI Solutions

Links- Codecrafters (sponsor): https://tej.as/codecrafters- Feedback Intelligence: https://www.feedbackintelligence.ai/- Chinar on X: https://x.com/movsisyanchinarSummaryIn this podcast episode, we talk to Chinar Movsisyan, the CEO and founder of Feedback Intelligence. They discuss Chinar's extensive background in AI, including her experience in machine learning and computer vision. We discuss the challenges faced in bridging the gap between technical and non-technical stakeholders, the practical applications of feedback intelligence in enhancing user experience, and the importance of identifying failure modes. The discussion also covers the role of LLMs in the architecture of Feedback Intelligence, the company's current stage, and how it aims to make feedback actionable for businesses. Chapters00:00 Chinar Movsisyan02:08 Introduction to Feedback Intelligence03:23 Chinar Movsisyan's Background and Expertise06:33 Understanding AI Engineer vs. GenAI Engineer09:08 The Lifecycle of Building an AI Application13:27 Data Collection and Cleaning Challenges16:20 Training the AI Model: Process and Techniques24:48 Deploying and Monitoring AI Models in Production27:55 The Birth of Feedback Intelligence31:58 Understanding Feedback Intelligence33:26 Practical Applications of Feedback Intelligence42:13 Identifying Failure Modes45:58 The Role of LLMs in Feedback Intelligence51:25 Company Stage and Future Directions57:24 Making Feedback Actionable01:01:30 Streamlining Processes with Automation01:03:18 The Journey of a First-Time Founder01:05:48 Wearing Many Hats: The Founder Experience01:08:22 Prioritizing Features in Early Startups01:13:09 Learning from Customer Interactions01:16:38 The Importance of Problem-Solving01:21:51 Handling Rejection and Staying Motivated01:27:43 Marketing Challenges for Founders01:29:23 Future Plans and Scaling Strategies Hosted on Acast. See acast.com/privacy for more information.