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#2 Google Gemini Product Manager: How close are we to building an Enterprise-Ready AI Experience?
Leo interviews Lewis Liu, Group Product Manager at Google, Gemini and Vertex AI, about the impact of generative AI models on user experience and enterprise AI readiness. Some key questions addressed:
How to ground AI so that it works for us, instead of working for itself
What does the enterprise-ready AI experience look like?
Should we be chasing quality benchmarks/leaderboards?
What actually matters for optimising model capabilities?
The discussion centers on the transformative impact of generative AI models on enterprise readiness and user experience. Key topics include the rapid evolution of generative AI, the mix of experts architecture, and the role of language models (LLMs) in enterprise applications.
It highlights the importance of grounding AI in factual information and explores the commoditization of LLMs, their expansion to edge devices, and their impact on traditional search methods and changing ways people acquire knowledge. It also addresses the challenges and opportunities for startups in the AI space, emphasizing the need for flexibility in data sources and frameworks. This episode is essential for tech professionals, founders, and business executives aiming to leverage AI for competitive advantage.
This episode is essential for tech professionals, founders, and business executives aiming to leverage AI for competitive advantage
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By AI Business AsiaLeo interviews Lewis Liu, Group Product Manager at Google, Gemini and Vertex AI, about the impact of generative AI models on user experience and enterprise AI readiness. Some key questions addressed:
How to ground AI so that it works for us, instead of working for itself
What does the enterprise-ready AI experience look like?
Should we be chasing quality benchmarks/leaderboards?
What actually matters for optimising model capabilities?
The discussion centers on the transformative impact of generative AI models on enterprise readiness and user experience. Key topics include the rapid evolution of generative AI, the mix of experts architecture, and the role of language models (LLMs) in enterprise applications.
It highlights the importance of grounding AI in factual information and explores the commoditization of LLMs, their expansion to edge devices, and their impact on traditional search methods and changing ways people acquire knowledge. It also addresses the challenges and opportunities for startups in the AI space, emphasizing the need for flexibility in data sources and frameworks. This episode is essential for tech professionals, founders, and business executives aiming to leverage AI for competitive advantage.
This episode is essential for tech professionals, founders, and business executives aiming to leverage AI for competitive advantage