In the era of AI hype, many organizations fall victim to the allure of incorporating artificial intelligence into their products merely for the sake of appearances. AI products are created without considering its true impact on solving customer problems. True innovation lies not in the indiscriminate infusion of AI, but in a customer focused approach to addresses their pain points and in deliberate and thoughtful analysis to make sure the AI feature is truly beneficial and necessary.
Successful AI product development requires more than just technical prowess; it demands a fundamental shift in organizational mindset and structure. Small, agile teams akin to those found in research labs are better suited to navigate the complexities of AI integration. 
In this talk, I will challenge the notion that AI can be treated as a superficial embellishment, 
emphasizing instead the importance of utilizing data science to solve genuine user and customer pain points. In 3.5years we’ve gone from no AI features to no features without AI - I’ll share my experiences for how to keep ROI of AI in mind, when is the right time to deal with scaling, how to make sure your ML talent does not escape and what it takes to get AI features live.