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Explore Alejandro D'Andrea, BotMan-AI | AI Luminaries with Neo4j with 9,655 views, 61 likes, and 2 comments. Experience the impact of this video content that has captured audience attention.

In this interview from the Neo4j AI Luminaries interview series, Alejandro D'Andrea, founder and chief technology officer of BotMan AI, joins theCUBE's John Furrier to discuss how graph technology and ontologies are solving AI's context problem in enterprise legacy system migration. D'Andrea explains how BotMan AI autonomously migrates legacy codebases, such as Delphi and Oracle Forms, into modern architectures by mapping code, dependencies and database semantics into a knowledge graph rather than letting agents roam freely through limited context windows. He details how this upfront relationship-mapping guarantees complete context retrieval, reducing hallucinations and ensuring agents don't miss critical dependencies across sprawling codebases with hundreds of linked files. The conversation also explores how BotMan AI builds a "knowledge layer" out of scattered unstructured data, including emails, chats and meetings, by linking everything through shared entities like people and projects rather than relying on raw retrieval. D'Andrea breaks down how connecting database semantics with source code and business documents creates a fuller picture than structured data alone, enabling more accurate and explainable AI. He touches on why most enterprises remain stuck in early pilot stages, arguing that intelligence is no longer the bottleneck — context is. From migrating legacy systems in weeks instead of months to envisioning a future where a single AI system understands an entire organization end-to-end, D'Andrea makes the case that connected knowledge, not raw compute, will define competitive advantage in the AI era. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Charting the AI Frontier: Transformations with BotMan and Neo4j 03:27 - Enhancing AI Context and Accuracy with Graph Databases and Ontologies 06:30 - Transforming Enterprise Data: Challenges and Graph-Driven Solutions 11:38 - Bridging Knowledge: Understanding Data Layers and Graph Connections 15:43 - Understanding and Overcoming Barriers: The Role of Reasoning and Context in AI and Graph Technology Adoption 18:59 - The Next Steps for Enterprises in Leveraging AI and Graphs 21:03 - Strategic Integration of Graphs: Shaping the Future of Enterprise Processes 25:33 - Navigating AI Adoption: The Role of Pilots and Change Management #theCUBE #AILuminaries #Neo4jDataToKnowledge #theCUBEresearch #NYSEWired #BotManAI #Neo4j #AI

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