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In the era of AI hype, many organizations fall victim to the allure of incorporating artificial intelligence into their products simply for the sake of appearances. AI products are created without considering its actual impact on solving client problems. actual innovation lies not in the indiscriminate infusion of AI, but in a client focused approach to addresses their pain points and in deliberate and thoughtful analysis to make certain the AI feature is truly beneficial and necessary.
Successful AI product improvement requires more than just method prowess; it demands a fundamental shift in organizational mindset and structure. Small, agile teams akin to those found in investigation 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 alternatively the importance of utilizing data discipline to solve genuine user and client 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, erstwhile is the right time to deal with scaling, how to make certain your ML talent does not escape and what it takes to get AI features live.
Recorded at Devoxx Poland 2024
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