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AI-Native vs. AI-Infused Products
Sep 16, 2024
Courtney Baker, an AI product expert, David DeWolf, a business speaker on AI's impacts, and Mohan Rao, a voice in AI differentiation, dive deep into the distinctions between AI-native and AI-infused products. They discuss how these differences shape business innovation and strategies, helping companies navigate the tech landscape. Later, Pete Buer engages with Peter Armaly, who highlights AI's transformative role in customer success management, predicting behavior, aiding decision-making, and boosting retention. This conversation is vital for businesses looking to leverage AI effectively.
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Quick takeaways
- AI-native products are fundamentally designed to leverage AI, fostering innovation, while AI-infused products only add AI features to existing solutions.
- The integration of AI into customer success management enhances predictive capabilities, leading to improved customer engagement and increased retention rates.
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Understanding AI Native vs AI Infused Products
AI native products are designed from the ground up to leverage artificial intelligence as a core component of their value proposition. This foundational approach allows for greater innovation, as these products are built without the constraints that traditional products face when AI is added later. In contrast, AI infused products are essentially existing solutions that incorporate AI features, often relying on external algorithms or APIs, leading to more limited functionality. The discussion highlights that products developed prior to 2022 typically fall into the AI infused category unless they have been fundamentally re-engineered to incorporate AI at their core.
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