“You couldn’t just put the electric motor where the steam engine was and leave everything else the same, you had to rewire the entire factory,” he told Wired. Microsoft CEO Satya Nadella recently compared this transition to the shift from steam engines to electric power. Enterprises need to do the same for generative AI app development. This is similar to the way operating systems revolutionized computing by abstracting away the low-level details and enabling users to perform complex tasks with ease. Finally, it’s about allowing developers to leverage LLMs to rapidly build generative AI applications. In other words, an AI managing an AI, according to Intuit’s Srivastava. It is also about giving the system the authority and agency to run its own process, for example deciding which LLM to use in real time to answer a user’s question, and when to hand off the conversation to a human expert.
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It is not just about adding a new layer of software tools and frameworks on top of existing systems. The operating-system analogy helps to illustrate the magnitude of the change that generative AI is bringing to enterprises. “I think this is a revolutionary idea,” Srivastava said.
Similarly, LLMs need a way to coordinate their actions and access the resources they need. They need a new kind of infrastructure that can support their intelligence and autonomy.Īshok Srivastava, chief data officer of Intuit, a company that has been using LLMs for years in the accounting and tax industries, told VentureBeat in an extensive interview that this infrastructure could be likened to an operating system for generative AI: “Think of a real operating system, like MacOS or Windows,” he said, referring to assistant, management and monitoring capabilities. These applications, powered by large language models (LLMs), are capable not only of generating content and responses, but of making autonomous decisions that affect the entire organization.
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One of the biggest hurdles is how to orchestrate the complex interactions between generative AI applications and other enterprise assets. And they need to act fast, before their competitors gain an edge. They face daunting challenges in transforming their processes, systems and cultures to embrace this new paradigm. It promises to unlock new sources of value and innovation, potentially adding $4.4 trillion to the global economy, according to a recent report by McKinsey.īut for many enterprises, the journey to harness generative AI is just beginning.
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Generative AI, the technology that can auto-generate anything from text, to images, to full application code, is reshaping the business world. Join top executives in San Francisco on July 11-12 and learn how business leaders are getting ahead of the generative AI revolution.
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