From SiliconANGLE · Devony Hof · · 1m 20s
BotMan AI Uses Knowledge Graphs for Legacy Modernization
BotMan AI uses knowledge graphs to rebuild legacy systems without manual code translation.
In brief
BotMan AI uses knowledge graphs to rebuild legacy systems without manual code translation. BotMan AI uses knowledge graphs to map application dependencies and business rules for autonomous legacy modernization. Originally reported by SiliconANGLE.
Legacy modernization challenge
Legacy modernization requires understanding how an application’s code, data and business rules fit together before rebuilding it.
BotMan AI's approach
BotMan AI uses an ai-powered migration pipeline that maps an application’s dependencies, business logic and data models in a knowledge graph.
Alejandro D’Andrea's insight
Intelligence is not the problem anymore. The problem is context. You have to explain to the agent everything it needs to understand how to do a particular task.
“Intelligence is not the problem anymore, "the problem is context. You have to explain to the agent everything it needs to understand [how] to do a particular task. What if you didn’t have to explain that? What if it already knew all that you know? That’s the key now."”
Knowledge graphs for modernization
BotMan AI uses knowledge graphs to represent how an application’s components and business rules relate to one another.
Autonomous migration process
It’s basically migrating from an old code base, delphi, visual basic, oracle forms, and rewriting that same system into a new architecture.
Reusable business context
Mapping relationships when information enters the system reduces discovery work for subsequent queries.
Entity linking for context
An entity for us will be a person, a project or a product. It will look you up, see all connections and figure out where information fits.
Here's the gist
BotMan AI uses knowledge graphs to map application dependencies and business rules for autonomous legacy modernization.



