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cover of episode Arvind Jain: Why Now Is the Time to Solve Enterprise Search (Encore)

Arvind Jain: Why Now Is the Time to Solve Enterprise Search (Encore)

2025/5/22
logo of podcast Generative Now | AI Builders on Creating the Future

Generative Now | AI Builders on Creating the Future
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Arvind Jain: 在 Rubrik 工作时，我发现企业内部的搜索体验非常糟糕，员工难以找到所需的信息，导致生产力下降。因此，我决定创立 Glean，旨在构建一个强大的企业内部搜索体验，帮助员工更轻松地找到信息和专家。我们很早就看到了 Transformer 模型的潜力，并将其应用于企业搜索，实现了更概念化和语义化的搜索。为了确保安全性，我们还构建了安全的基础设施，确保用户只能访问他们有权限的信息。在早期，我们面临的挑战是企业认为搜索是可有可无的，因此我们需要创造市场，通过宣传其价值来吸引客户。ChatGPT 的出现为我们带来了巨大的市场需求，因为它让企业看到了 AI 在企业内部应用的潜力。现在，我们采用 RAG 架构，利用检索技术和外部模型来回答问题，并为每个企业客户定制化训练 Transformer 模型，使其理解公司特有的语言和术语。我们的目标是为企业客户提供行业内所有创新成果，让他们无需选择使用哪个模型。我相信 AI 将改变工作方式，大部分重复性工作将被 AI 助手取代，而 Glean 将在其中发挥重要作用。

Deep Dive

Chapters
Arvind Jain, founder of Glean, identified a significant drop in productivity within Rubrik due to fragmented company knowledge. His search engineering background led him to realize the need for a powerful enterprise search solution, leveraging transformer-based models for a more semantic and conceptual search experience.
  • Productivity drop at Rubrik due to fragmented knowledge
  • Lack of a good enterprise search product in the market
  • Early adoption of transformer-based models for enhanced search

Shownotes Transcript

This week, we are revisiting a conversation between Lightspeed partner Michael Mignano and Arvind Jain, the founder and CEO of Glean about the evolution of AI-assisted enterprise search.

Arvind shares what insights helped to start Glean's journey in 2019, how the company leveraged transformer-based models early on, and how Glean developed the market for this product. They also talk about competition, the technical aspects of integrating Glean across SaaS platforms, and the monumental impact of ChatGPT on the industry.

Episode Chapters

(00:00) Introduction

(01:15) Why Arvind Created Glean to Solve Enterprise Search Problems

(03:50) Technical Foundations: Building Glean with Transformers

(09:04) Product Market Fit and Early Challenges

(12:16) The Impact of ChatGPT and Market Evolution

(13:42) Glean's Architecture and Model Integration

(17:58) The Future of AI in Enterprises

(27:52) Leadership, Competition, and Company Culture

(35:48) Reflections and Lessons from Rubrik to Glean

(41:15) Lightning Round and Closing Remarks

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