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How Startups Can Crush Enterprise AI Sales | E2050

This Week in Startups

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From Retrieval to Automation: Embracing Agentic Architectures

Generative AI applications are evolving from retrieval-augmented generation (RAG) to more sophisticated agentic architectures that automate workflows across various sectors. Initial deployments, like legal co-pilots that synthesize dense text into manageable reports, showcase the first wave of innovation. As the technology matures, there is a shift towards using agents to enhance enterprise operations, moving beyond traditional robotic process automation (RPA) solutions. With advancements in models, particularly in test time inference, the accuracy of generative processes is improving, reducing the cumulative error rates that previously hampered multi-step task execution. This evolution signifies a transition in automation capabilities from rudimentary applications to domain-specific solutions, particularly in areas like healthcare, indicating a significant potential for growth and transformation in enterprise functionalities by 2025.

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