Challenges in AI Data Retrieval and Augmented Generation

This chapter examines the obstacles and misunderstandings associated with retrieval-augmented generation in AI systems. It highlights common errors in data retrieval that can compromise the accuracy and relevance of AI-driven search outcomes.

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In this episode, Aaron Levie, Co-founder and CEO of Box, discusses the current landscape of AI and its rapid advancements. He compares the enthusiasm for AI in the enterprise to the initial reluctance faced during the early days of cloud adoption. Levie shares insights into how AI is integrated into both his personal and professional life, highlighting new apps, tools, and features driven by AI. He elaborates on Box's AI initiatives, including the creation of Box AI to manage enterprise content and the concept of AI agents and their impact on enterprise IT departments. Levie also addresses the obstacles and opportunities in deploying AI at scale, predicting significant changes and a new era of 'systems of intelligence' in enterprise software.

SPONSORS:

Oracle Cloud Infrastructure (OCI): Oracle's next-generation cloud platform delivers blazing-fast AI and ML performance with 50% less for compute and 80% less for outbound networking compared to other cloud providers. OCI powers industry leaders like Vodafone and Thomson Reuters with secure infrastructure and application development capabilities. New U.S. customers can get their cloud bill cut in half by switching to OCI before March 31, 2024 at https://oracle.com/cognitive

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CHAPTERS:

(00:00) Teaser

(00:50) About the Episode

(03:49) Introduction and Warm-Up

(04:08) Personal AI Use and Worldview

(06:48) Enterprise AI Excitement

(07:22) Comparing Cloud and AI Adoption

(11:19) Transforming IT Departments

(14:24) Box's New AI Features

(18:08) Sponsors: Oracle Cloud Infrastructure (OCI) | NetSuite

(20:48) Challenges in AI Implementation

(22:25) Building the Right AI Architecture