How to Build Real-World AI That Scales – Insights from Varun Srinivas (Computers - Information Technologies)
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Item ID 9744389 in Category: Computers - Information Technologies
How to Build Real-World AI That Scales – Insights from Varun Srinivas | |
In this episode of Discover Dialogues by TechDogs, Vikramsinh Ghatge, Sr. Marketing Director and Editor-in-Chief, sits down with Varun Srinivas, Founder & CEO of Therix.ai and Co-Founder of Coditas, to discuss what it really takes to build scalable AI that works beyond prototypes and demos. Varun has spent over a decade turning software principles into real-world AI outcomes for more than 200 companies. His mission? Make AI reliable, scalable, and people-centric. Early in the conversation, Varun shares a crucial thought: “AI won’t replace your job. But someone using AI might.” However, he urges leaders to move beyond fear-driven narratives and adopt AI through empowerment, team collaboration, and strong engineering foundations. A standout topic is vibe coding—the fast, intuitive development style driven by generative AI. While this speeds up prototyping, Varun emphasizes that it’s no substitute for proper testing, evaluation, and production-grade systems. Key Takeaways from the Episode: ✔ AI is software—treat it with engineering discipline ✔ Culture matters—AI adoption requires small wins and education ✔ Clean, simple code is still essential for scalable AI ✔ Leaders should guide teams through trust, not micromanagement ✔ AI roadmaps must be dynamic and adapt frequently Varun also stresses the importance of providing usable, contextual data to AI models and involving entire teams in AI rollouts—not isolating innovation to experts alone. For anyone involved in AI product development, leadership, or scaling MVPs, this episode offers practical advice to turn AI ideas into real-world solutions. Watch the full discussion on TechDogs.  | |
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2025-07-31 (0.378 sec)