https://drive.google.com/file/d/1FtpjVYzcv7_edmKO3gH78V6CBol2DwB_/view?usp=share_link

It has been a good year for the graph. Ontologies got trendy. Amid the unprecedented velocity of AI-driven change, one need is constant - to capture the meaning and unlock the value of enterprise information and physical assets. What was once a differentiating capability has become a foundational necessity.

We will present our experience with the adoption of knowledge graphs as enterprise semantic backbones: critical information infrastructure, offering a comprehensive source of truth and reference knowledge for humans, AI agents, and IT systems. These semantic backbones serve multiple purposes:

Models of domain knowledge and digital twins of distributed systems
Knowledge hubs for precise retrieval and management of content
Metadata hubs for publishing of reference data and data products
Semantic layers for analytics, providing unified views over siloed data
Conceptual models for context graphs
Shared world models and LTM for Agentic AI
The talk will cover:

Case studies from a year of extensive growth, detailing business requirements, value drivers, and measurable benefits across industries.
Graphwise Platform - our investment built on 20+ years of real-world experience in enhancing and accelerating the implementation process.
The measurable difference: business objectives and technical tasks where we have been able to reliably observe improvements and impact.
Go to market approach and opportunities.