From Application Logic to Semantic Layers: The Relational Knowledge Graph Opportunity скачать в хорошем качестве

From Application Logic to Semantic Layers: The Relational Knowledge Graph Opportunity

Is your approach to BI becoming obsolete at the speed of enterprise AI? The platform shift from application-centric to data-centric architecture isn’t just another tech trend - it’s redefining how value is created from enterprise data assets. In our latest fireside chat, RelationalAI VP of Product Management John Macintyre talks with Alec Coughlin, revealing why knowledge graphs are becoming the foundation of intelligent applications. Key takeaways from the conversation include: 💡“You can start to apply it to a new set of reasoning capabilities. You can build new types of applications. And so I think that's really the opportunity that people are seeing with bringing knowledge graphs into their data infrastructure.” 💡“And so how do you bring some of that understanding and how do you bring some of that application logic into a semantic layer?” 💡“I think that's where this sort of new class of knowledge graph, something that we would call relational knowledge graphs really come into play because they can capture some of these advanced relationships and concepts that exist inside of businesses.” 💡“But I think the modality of SaaS and the modality of applications is dying and probably will be dead. But that doesn't mean applications are dead.” 💡“That means that the way that we work together, how we work with agents, sort of what the world of an ensemble of users and agents working together over shared knowledge, shared understanding of a business in the context of the business with a collective set of tools that allow them to reason over business problems and make decisions.” 💡“And that is what we're moving towards.” Watch the full 14-minute conversation to discover how relational knowledge graphs are becoming the critical infrastructure for AI-powered business intelligence and accelerated value creation.