- Generative AI is reshaping the business world: The technology has the potential to unlock new value and innovation, contributing trillions to the global economy. Enterprises are facing challenges in integrating and optimizing generative AI, including orchestrating complex interactions and developing the necessary infrastructure.
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Enterprise competition in generative AI: While companies like Intuit are building their own gen OS platforms internally, there is a vibrant ecosystem of open software frameworks and platforms that enable developers to create intelligent generative AI applications. Developers can leverage foundational LLMs, customize them, and use frameworks to enhance intelligence and autonomy.
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The future of generative AI: Building an operating system for generative AI is not only a technical challenge but a strategic advantage for enterprises. Intuit’s foresight has allowed them to create and deploy generative AI applications at scale, saving significant time. The VB Transform event brings together industry experts and leaders to discuss the enterprise generative AI agenda.
Supplemental Information ℹ️
In this article, the author discusses the impact of generative AI on enterprises and the challenges they face in harnessing its potential. Intuit’s Chief Data Officer, Ashok Srivastava, highlights the need for an operating system-like infrastructure to support generative AI applications. The article also explores how companies are competing in the generative AI space, leveraging foundational LLMs, and utilizing frameworks to enhance intelligence and autonomy. The future of generative AI is seen as a strategic advantage for enterprises, enabling them to deliver value, attract talent, and gain a competitive edge.
ELI35 💁
Generative AI is transforming businesses by auto-generating various content using large language models. Intuit is pioneering the development of a gen OS platform to optimize generative AI applications. Other companies leverage existing foundational models and open frameworks to enhance intelligence. The future lies in building an operating system-like infrastructure for generative AI, providing a strategic advantage to enterprises.
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