From Google Search to solving enterprise search, with Arvind Jain, Co-Founder & CEO, Glean

AI Models

Arvind Jain explains the use of advanced AI models in enterprise search. Glean employs dedicated language models for each customer, ensuring semantic matching and accurate document retrieval. This approach combines powerful search technology with AI to answer questions using company-specific knowledge 1.

We build dedicated language models for each one of our customers that understand their lingo.

--- Arvind Jain

He emphasizes the importance of integrating search engines with AI to assemble relevant data, highlighting the challenges of avoiding errors and ensuring data security 2.

   

Search Evolution

Andrew Greenstein and Arvind discuss the evolution of enterprise search technology. Arvind notes that modern infrastructure and AI advancements have revolutionized search capabilities, enabling natural language queries and semantic understanding 3.

The technology infrastructure these days is fundamentally different from what it used to be 20 years back.

--- Arvind Jain

He also highlights the importance of verticalized AI models for specific industries, stressing the need for deep R&D to enhance model accuracy and relevance 4.

   

AI Future

Arvind envisions a future where AI assistants are integral to workplace productivity. He predicts that AI will handle most routine tasks, democratizing the benefits of executive assistants for all employees 5.

Everybody who works in the world in the future will have multiple AI assistants.

--- Arvind Jain

He believes AI will become a standard feature in all products, enhancing usability and efficiency across applications 6.

   

Building Glean

Arvind shares insights on building Glean, an AI-powered enterprise search platform. He describes the challenges of integrating various enterprise applications and ensuring secure access to company knowledge 7.

Glean connects with all of your company knowledge, data, and information that lives across your different systems.

--- Arvind Jain

The platform aims to make workplace search more efficient, saving time and boosting productivity 8.