As it stands today, the average social media user is privy to anywhere between 4,000 to 10,000 ads a day. So, how much of this churn is down to Data and AI and how efficiently do businesses bridge the gap between ad tech and customer value? In this episode of Bringing Data and AI to Life, our host Nick Dobbins, Worldwide VP and Field CTO at Informatica, welcomes Praveen Gujar, Director of Product at LinkedIn, to explore the evolution of ad tech platforms, real-time data scaling, and the delicate balance between personalization and privacy.
What You’ll Learn
- How digital advertising has transformed from basic demographic targeting to AI-powered intent and context-based personalization
- The three pillars of ethical AI implementation in advertising: bias minimization, transparency, and accountability
- Why building simple, scalable systems is crucial for delivering real-time, hyper-personalized ad experiences
- How to balance innovation and personalization with user privacy and trust
- The critical role of real-time data systems in modern ad tech platforms
- Why cross-channel consistency and attribution are essential for demonstrating advertising ROI
- The fundamental skills needed for aspiring product leaders in ad tech, including AI foundations and low-code development
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