All Content from Business Insider 09月23日 15:03
通用催化剂CEO:AI集成成功的四大关键要素
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通用催化剂(General Catalyst)的CEO Hemant Taneja在近期播客中强调,企业实现真正的AI转型并非易事,需要同时满足四大关键要素:完善的数据基础设施、理解业务的定制化大语言模型、面向人机协作的组织结构变革,以及最高领导层的决心与支持。他指出,许多企业在AI应用上止步于原型开发阶段,正是因为难以全面落实这四点。Taneja的观点得到了科技界其他领袖的回应,他们也强调了领导力在AI时代自我革新和拥抱技术的重要性,以及AI发展速度的惊人之处。

📊 **数据基础设施是基础**:Taneja指出,企业首先需要为AI的采用做好数据基础设施的准备,这包括服务器、数据库、云平台和网络设备等组件的协同工作,以确保数据的安全性和可用性。

🧠 **业务定制化模型至关重要**:企业需要拥有能够理解自身业务的大语言模型,并且需要利用“秘密武器”(secret sauce)来训练这些模型,使其真正服务于特定的商业需求,而非仅停留在通用AI模型的原型阶段。

🤝 **组织与人员的协同转型**:AI的集成意味着人类与AI将协同工作,部分人类将管理AI代理,部分AI代理将管理人类。这要求企业重新思考组织架构和管理模式,以适应未来人机协作的新格局。

🚀 **最高领导层的决心是驱动力**:Taneja强调,要实现AI的全面转型,最高领导层(CEO)的坚定支持和推动至关重要。没有来自顶层的决心,AI的采纳和应用将难以深入推进。

Hemant Taneja said that AI integration requires four main things.

True AI integration has four non-negotiables, according to General Catalyst's CEO.

"When you think about transforming an enterprise with AI, you actually have to do four things correctly," Hemant Taneja said on an episode of the 20VC podcast released on Monday.

Taneja said that it is "very, very difficult" to achieve all four things and ensure that AI adoption goes beyond prototyping an OpenAI or Anthropic model.

"That's why these things are hitting a wall," he added.

The VC said that companies need to prepare their data infrastructure for AI adoption first. Data infrastructure includes components like servers, databases, cloud platforms, and networking equipment that work together to make data secure and usable.

The second must-have is large language models that understand your business.

"You have to train these models in the context of your secret sauce, your business," he said.

Next, companies need to think about workforce transformation, since humans and AI will work together.

"Some humans are going to manage AI agents. Some AI agents are going to manage humans," he said. "Imagine how the org charts have to change."

"The fourth, for all this to work, you actually need courage at the top. The CEOs need to really get behind it to drive it."

General Catalyst's major investments include Airbnb, Windsurf, and Mistral AI, among others. The firm did not respond to a request for comment from Business Insider.

Taneja joins a list of tech and business executives who have spoken about the importance of leaders getting deeply involved in AI.

In a May podcast, John Chambers, a VC and Cisco's former CEO, said that most leaders do not reinvent themselves.

"As a leader in AI, you have to reinvent yourself, in my opinion, every year," he said.

This is because AI is moving in "internet terms" at "five times the speed" and delivering "three times the results," Chambers said.

Nvidia's CEO Jensen Huang, who regularly speaks about how AI agents and humans will work together in the future, said he uses AI as a tutor every day.

"In areas that are fairly new to me, I might say, 'Start by explaining it to me like I'm a 12-year-old,' and then work your way up into a doctorate-level over time," he said at a conference in May.

AI's ability to rapidly collect, analyze, and communicate information could close the tech gap, Huang said.

Read the original article on Business Insider

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AI集成 人工智能转型 数据基础设施 大语言模型 组织变革 领导力 General Catalyst Hemant Taneja AI strategy AI transformation data infrastructure LLMs organizational change leadership
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