{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/655148df2861630012a1d01b/67c4d49ca02912270dbf0806?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Chinar Movsisyan: How to Deliver End-to-End AI Solutions","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/655148df2861630012a1d01b/1740952717638-ce5a2f86-8ecd-47ae-8876-9ecf40d6dacb.jpeg?height=200","description":"<p>Links</p><p>- Codecrafters (sponsor): https://tej.as/codecrafters</p><p>- Feedback Intelligence: https://www.feedbackintelligence.ai/</p><p>- Chinar on X: https://x.com/movsisyanchinar</p><p><br></p><p>Summary</p><p><br></p><p>In 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. </p><p><br></p><p>Chapters</p><p><br></p><p>00:00 Chinar Movsisyan</p><p>02:08 Introduction to Feedback Intelligence</p><p>03:23 Chinar Movsisyan's Background and Expertise</p><p>06:33 Understanding AI Engineer vs. GenAI Engineer</p><p>09:08 The Lifecycle of Building an AI Application</p><p>13:27 Data Collection and Cleaning Challenges</p><p>16:20 Training the AI Model: Process and Techniques</p><p>24:48 Deploying and Monitoring AI Models in Production</p><p>27:55 The Birth of Feedback Intelligence</p><p>31:58 Understanding Feedback Intelligence</p><p>33:26 Practical Applications of Feedback Intelligence</p><p>42:13 Identifying Failure Modes</p><p>45:58 The Role of LLMs in Feedback Intelligence</p><p>51:25 Company Stage and Future Directions</p><p>57:24 Making Feedback Actionable</p><p>01:01:30 Streamlining Processes with Automation</p><p>01:03:18 The Journey of a First-Time Founder</p><p>01:05:48 Wearing Many Hats: The Founder Experience</p><p>01:08:22 Prioritizing Features in Early Startups</p><p>01:13:09 Learning from Customer Interactions</p><p>01:16:38 The Importance of Problem-Solving</p><p>01:21:51 Handling Rejection and Staying Motivated</p><p>01:27:43 Marketing Challenges for Founders</p><p>01:29:23 Future Plans and Scaling Strategies</p><p><br></p>","author_name":"Tejas Kumar"}