In this episode, Laura Fu and Ahmed discuss the essential infrastructure needed for AI, the challenges faced by traditional software in adapting to AI, and the importance of a data-driven strategy. They explore the balance between horizontal and vertical AI strategies, the significance of intentionality in AI development, and the engineering challenges that arise in building AI solutions. The conversation also touches on safety, governance, and the future of AI models, emphasizing the need for companies to meet customers where they are and to be mindful of the risks associated with AI implementation.

Takeaways

• AI infrastructure is crucial for actionable intelligence.
• Traditional software isn't ready for scalable AI.
• Data is fundamentally important for AI strategy.
• Intentionality is key in building AI solutions.
• Horizontal AI strategies can interoperate across systems.
• Meet customers where they are with AI.
• Domain-specific models will shape the future of AI.
• Vibe coding simplifies app development for everyone.
• Safety and governance are top priorities for AI buyers.
• Understand the risks and guardrails of AI systems.