What does it take to build a high-scale, low-latency ad tech platform? In this episode of the Adster Podcast, host Girish Vishwanath sits down with Ketan Chandak, (Co-founder & CPTO) of Adster, to break down the engineering challenges, AI-powered optimizations, and strategic decision-making that go into monetizing publishers efficiently.

What You’ll Learn in This Episode:

• ✅ Ketan’s journey from Truecaller & Twitter to co-founding Adster
• ✅ The engineering challenges of ad tech, from cost optimization to system efficiency
• ✅ Why federated learning and client-side AI models make a difference in real-time ad-serving
• ✅ The importance of prefetching, caching, and backfilling to improve ad rendering rates
• ✅ How AI-powered yield optimization helps maximize publisher revenues
• ✅ The impact of transparency and control for publishers struggling with walled gardens
• ✅ Key AI innovations shaping the future of publisher monetization

🔍 Why It Matters:

Publishers today face growing complexity in monetization. From invalid traffic detection to AI-powered yield optimization, this episode unpacks how to navigate the challenges and unlock better revenue.

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