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Is LLM the New Operating System? | Anant Bhardwaj, CEO of Instabase

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Manage episode 472054851 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Anant Bhardwaj is the founder and CEO of Instabase, an AI-native unstructured data platform. They've raised $322M in funding to date from NEA, Andreessen Horowitz, Greylock, and Index Ventures. He did his masters from Stanford and PhD from MIT.
Anant's favorite book: The Singularity Is Near (Author: Ray Kurzweil)
(00:07) Defining Unstructured Data
(01:18) The Growth of Unstructured Data and Its Challenges
(02:05) Evolution of Tools for Analyzing Unstructured Data
(04:25) How Large Language Models (LLMs) Changed Data Processing
(05:27) Do We Still Need ETL in the LLM Era?
(06:05) Structured Queries vs. Direct Unstructured Querying
(08:22) Applying LLMs in Enterprise Settings
(09:34) Ensuring Accuracy in AI-Driven Data Analysis
(11:29) SQL vs. AI-Driven Queries in Business Use Cases
(13:48) Retrieval-Augmented Generation (RAG) for Enterprise AI
(15:02) The Founding of Instabase and Its Early Vision
(19:03) Building the MVP of Instabase
(22:52) First 10 Customers: Lessons from Early Sales
(26:01) Scaling Customer Acquisition: Experiments and Failures
(30:35) When to Hire a Sales Team: Key Lessons
(33:52) AI Adoption at Instabase for Internal Productivity
(37:48) The Technology Stack Behind Instabase
(42:36) Transition from OS-Based Architecture to LLM-Based System
(43:45) Rapid Fire Questions
--------
Where to find Anant Bhardwaj:
LinkedIn: https://www.linkedin.com/in/anantpb/
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi

  continue reading

171 episodes

Artwork
iconShare
 
Manage episode 472054851 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Anant Bhardwaj is the founder and CEO of Instabase, an AI-native unstructured data platform. They've raised $322M in funding to date from NEA, Andreessen Horowitz, Greylock, and Index Ventures. He did his masters from Stanford and PhD from MIT.
Anant's favorite book: The Singularity Is Near (Author: Ray Kurzweil)
(00:07) Defining Unstructured Data
(01:18) The Growth of Unstructured Data and Its Challenges
(02:05) Evolution of Tools for Analyzing Unstructured Data
(04:25) How Large Language Models (LLMs) Changed Data Processing
(05:27) Do We Still Need ETL in the LLM Era?
(06:05) Structured Queries vs. Direct Unstructured Querying
(08:22) Applying LLMs in Enterprise Settings
(09:34) Ensuring Accuracy in AI-Driven Data Analysis
(11:29) SQL vs. AI-Driven Queries in Business Use Cases
(13:48) Retrieval-Augmented Generation (RAG) for Enterprise AI
(15:02) The Founding of Instabase and Its Early Vision
(19:03) Building the MVP of Instabase
(22:52) First 10 Customers: Lessons from Early Sales
(26:01) Scaling Customer Acquisition: Experiments and Failures
(30:35) When to Hire a Sales Team: Key Lessons
(33:52) AI Adoption at Instabase for Internal Productivity
(37:48) The Technology Stack Behind Instabase
(42:36) Transition from OS-Based Architecture to LLM-Based System
(43:45) Rapid Fire Questions
--------
Where to find Anant Bhardwaj:
LinkedIn: https://www.linkedin.com/in/anantpb/
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi

  continue reading

171 episodes

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