GenAI at Enterprise Scale

Adopting predictive AI requires deep in-house expertise and vast infrastructure, but the emergence of open-source frameworks and infrastructure-as-a-service has increased accessibility for both startups and large enterprises. Enterprise GenAI adoption poses unique challenges that require a disciplined approach, including the misconception that a single model can meet all application needs. LinkedIn's three-phase approach to GenAI initiatives involves exploration, experimentation, and productionization, with a focus on stakeholder engagement, rapid development and deployment, and holistic integration of various components. As startups begin to use GenAI in innovative ways, 2024 is expected to see new consumer applications beyond current chatbots and workflow automation, leveraging a mix of large and specialized models to balance cost, scalability, and latency.

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